Chinese Segmentation with a Word-Based Perceptron Algorithm. - Yue Zhang 004; Stephen Clark (ACL, 2007)

Joint Word Segmentation and POS Tagging Using a Single Perceptron. - Yue Zhang 004; Stephen Clark (ACL, 2008)

A Tale of Two Parsers: Investigating and Combining Graph-based and Transition-based Dependency Parsing. - Yue Zhang 004; Stephen Clark (EMNLP, 2008)

Transition-Based Parsing of the Chinese Treebank using a Global Discriminative Model. - Yue Zhang 004; Stephen Clark (IWPT, 2009)

Chart Pruning for Fast Lexicalised-Grammar Parsing. - Yue Zhang 004; Byung-Gyu Ahn; Stephen Clark; Curt Van Wyk; James R. Curran; Laura Rimell (COLING (Posters), 2010)

A Fast Decoder for Joint Word Segmentation and POS-Tagging Using a Single Discriminative Model. - Yue Zhang 004; Stephen Clark (EMNLP, 2010)

Recent Advances in Dependency Parsing. - Qin Iris Wang; Yue Zhang 004 (NAACL (Tutorial Abstracts), 2010)

Efficient partial-duplicate detection based on sequence matching. - Qi Zhang 001; Yue Zhang 004; Haomin Yu; Xuanjing Huang 001 (SIGIR, 2010)

Shift-Reduce CCG Parsing. - Yue Zhang 004; Stephen Clark (ACL, 2011)

Transition-based Dependency Parsing with Rich Non-local Features. - Yue Zhang 004; Joakim Nivre (ACL (2), 2011)

Syntax-Based Grammaticality Improvement using CCG and Guided Search. - Yue Zhang 004; Stephen Clark (EMNLP, 2011)

Syntactic Processing Using the Generalized Perceptron and Beam Search. - Yue Zhang 004; Stephen Clark (Comput. Linguistics, 2011)

Unsupervised Domain Adaptation for Joint Segmentation and POS-Tagging. - Yang Liu; Yue Zhang 004 (COLING (Posters), 2012)

Analyzing the Effect of Global Learning and Beam-Search on Transition-Based Dependency Parsing. - Yue Zhang 004; Joakim Nivre (COLING (Posters), 2012)

Syntax-Based Word Ordering Incorporating a Large-Scale Language Model. - Yue Zhang 004; Graeme W. Blackwood; Stephen Clark (EACL, 2012)

Learning to Prune: Context-Sensitive Pruning for Syntactic MT. - Wenduan Xu; Yue Zhang 004; Philip Williams; Philipp Koehn (ACL (2), 2013)

Chinese Parsing Exploiting Characters. - Meishan Zhang; Yue Zhang 004; Wanxiang Che; Ting Liu 001 (ACL (1), 2013)

Fast and Accurate Shift-Reduce Constituent Parsing. - Muhua Zhu; Yue Zhang 004; Wenliang Chen; Min Zhang 005; Jingbo Zhu (ACL (1), 2013)

Semi-Supervised Feature Transformation for Dependency Parsing. - Wenliang Chen; Min Zhang 005; Yue Zhang 004 (EMNLP, 2013)

Partial-Tree Linearization: Generalized Word Ordering for Text Synthesis. - Yue Zhang 004 (IJCAI, 2013)

Feature-Rich Segment-Based News Event Detection on Twitter. - Yanxia Qin; Yue Zhang 004; Min Zhang 005; Dequan Zheng (IJCNLP, 2013)

Joint Morphological Generation and Syntactic Linearization. - Linfeng Song; Yue Zhang 004; Kai Song; Qun Liu 001 (AAAI, 2014)

On WordNet Semantic Classes and Dependency Parsing. - Kepa Bengoetxea; Eneko Agirre; Joakim Nivre; Yue Zhang 004; Koldo Gojenola (ACL (2), 2014)

Tagging The Web: Building A Robust Web Tagger with Neural Network. - Ji Ma; Yue Zhang 004; Jingbo Zhu (ACL (1), 2014)

Punctuation Processing for Projective Dependency Parsing. - Ji Ma; Yue Zhang 004; Jingbo Zhu (ACL (2), 2014)

Shift-Reduce CCG Parsing with a Dependency Model. - Wenduan Xu; Stephen Clark; Yue Zhang 004 (ACL (1), 2014)

Character-Level Chinese Dependency Parsing. - Meishan Zhang; Yue Zhang 004; Wanxiang Che; Ting Liu 001 (ACL (1), 2014)

Syntactic Processing Using Global Discriminative Learning and Beam-Search Decoding. - Yue Zhang 004; Meishan Zhang; Ting Liu 001 (ACL (Tutorial Abstracts), 2014)

A Semantics Oriented Grammar for Chinese Treebanking. - Meishan Zhang; Yue Zhang 004; Wanxiang Che; Ting Liu 001 (CICLing (1), 2014)

Feature Embedding for Dependency Parsing. - Wenliang Chen; Yue Zhang 004; Min Zhang 005 (COLING, 2014)

Multi-view Chinese Treebanking. - Likun Qiu; Yue Zhang 004; Peng Jin; Houfeng Wang (COLING, 2014)

Type-Supervised Domain Adaptation for Joint Segmentation and POS-Tagging. - Meishan Zhang; Yue Zhang 004; Wanxiang Che; Ting Liu 001 (EACL, 2014)

Using Structured Events to Predict Stock Price Movement: An Empirical Investigation. - Xiao Ding; Yue Zhang 004; Ting Liu 001; Junwen Duan (EMNLP, 2014)

Domain Adaptation for CRF-based Chinese Word Segmentation using Free Annotations. - Yijia Liu; Yue Zhang 004; Wanxiang Che; Ting Liu 001; Fan Wu (EMNLP, 2014)

ZORE: A Syntax-based System for Chinese Open Relation Extraction. - Likun Qiu; Yue Zhang 004 (EMNLP, 2014)

Syntactic SMT Using a Discriminative Text Generation Model. - Yue Zhang 004; Kai Song; Linfeng Song; Jingbo Zhu; Qun Liu 001 (EMNLP, 2014)

Automatic early defects detection in use case documents. - Shuang Liu 007; Jun Sun 001; Yang Liu 003; Yue Zhang 004; Bimlesh Wadhwa; Jin Song Dong; Xinyu Wang 001 (ASE, 2014)

ViZPar: A GUI for ZPar with Manual Feature Selection. - Isabel Ortiz; Miguel Ballesteros; Yue Zhang 004 (Proces. del Leng. Natural, 2014)

Word Segmentation for Chinese Novels. - Likun Qiu; Yue Zhang 004 (AAAI, 2015)

Event-Driven Headline Generation. - Rui Sun; Yue Zhang 004; Meishan Zhang; Dong-Hong Ji (ACL (1), 2015)

A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing. - Hao Zhou 012; Yue Zhang 004; Shujian Huang; Jiajun Chen 001 (ACL (1), 2015)

An Empirical Comparison Between N-gram and Syntactic Language Models for Word Ordering. - Jiangming Liu; Yue Zhang 004 (EMNLP, 2015)

A Transition-based Model for Joint Segmentation, POS-tagging and Normalization. - Tao Qian 002; Yue Zhang 004; Meishan Zhang; Yafeng Ren; Dong-Hong Ji (EMNLP, 2015)

Syntactic Dependencies and Distributed Word Representations for Analogy Detection and Mining. - Likun Qiu; Yue Zhang 004; Yanan Lu (EMNLP, 2015)

Combining Discrete and Continuous Features for Deterministic Transition-based Dependency Parsing. - Meishan Zhang; Yue Zhang 004 (EMNLP, 2015)

Neural Networks for Open Domain Targeted Sentiment. - Meishan Zhang; Yue Zhang 004; Duy-Tin Vo (EMNLP, 2015)

Deep Learning for Event-Driven Stock Prediction. - Xiao Ding; Yue Zhang 004; Ting Liu 001; Junwen Duan (IJCAI, 2015)

Target-Dependent Twitter Sentiment Classification with Rich Automatic Features. - Duy-Tin Vo; Yue Zhang 004 (IJCAI, 2015)

Transition-Based Syntactic Linearization. - Yijia Liu; Yue Zhang 004; Wanxiang Che; Bing Qin 001 (HLT-NAACL, 2015)

Discriminative Syntax-Based Word Ordering for Text Generation. - Yue Zhang 004; Stephen Clark (Comput. Linguistics, 2015)

Distributed Feature Representations for Dependency Parsing. - Wenliang Chen; Min Zhang 005; Yue Zhang 004 (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

An Introduction to Python and Computer Programming - Yue Zhang 004 (Springer, 2015)

Joint Word Segmentation, POS-Tagging and Syntactic Chunking. - Chen Lyu 004; Yue Zhang 004; Donghong Ji (AAAI, 2016)

Dependency Tree Representations of Predicate-Argument Structures. - Likun Qiu; Yue Zhang 004; Meishan Zhang (AAAI, 2016)

Context-Sensitive Twitter Sentiment Classification Using Neural Network. - Yafeng Ren; Yue Zhang 004; Meishan Zhang; Donghong Ji (AAAI, 2016)

Improving Twitter Sentiment Classification Using Topic-Enriched Multi-Prototype Word Embeddings. - Yafeng Ren; Yue Zhang 004; Meishan Zhang; Donghong Ji (AAAI, 2016)

Gated Neural Networks for Targeted Sentiment Analysis. - Meishan Zhang; Yue Zhang 004; Duy-Tin Vo (AAAI, 2016)

Active Learning for Dependency Parsing with Partial Annotation. - Zhenghua Li; Min Zhang 005; Yue Zhang 004; Zhanyi Liu; Wenliang Chen; Hua Wu 003; Haifeng Wang 001 (ACL (1), 2016)

Don't Count, Predict! An Automatic Approach to Learning Sentiment Lexicons for Short Text. - Duy-Tin Vo; Yue Zhang 004 (ACL (2), 2016)

Transition-Based Neural Word Segmentation. - Meishan Zhang; Yue Zhang 004; Guohong Fu (ACL (1), 2016)

A Search-Based Dynamic Reranking Model for Dependency Parsing. - Hao Zhou 012; Yue Zhang 004; Shujian Huang; Junsheng Zhou; Xinyu Dai; Jiajun Chen 001 (ACL (1), 2016)

Combining Discrete and Neural Features for Sequence Labeling. - Jie Yang 039; Zhiyang Teng; Meishan Zhang; Yue Zhang 004 (CICLing (1), 2016)

Measuring the Information Content of Financial News. - Ching-Yun Chang; Yue Zhang 004; Zhiyang Teng; Zahn Bozanic; Bin Ke (COLING, 2016)

Knowledge-Driven Event Embedding for Stock Prediction. - Xiao Ding; Yue Zhang 004; Ting Liu 001; Junwen Duan (COLING, 2016)

Deceptive Opinion Spam Detection Using Neural Network. - Yafeng Ren; Yue Zhang 004 (COLING, 2016)

A Bilingual Attention Network for Code-switched Emotion Prediction. - Zhongqing Wang; Yue Zhang 004; Sophia Yat Mei Lee; Shoushan Li; Guodong Zhou (COLING, 2016)

Distance Metric Learning for Aspect Phrase Grouping. - Shufeng Xiong; Yue Zhang 004; Donghong Ji; Yinxia Lou (COLING, 2016)

Tweet Sarcasm Detection Using Deep Neural Network. - Meishan Zhang; Yue Zhang 004; Guohong Fu (COLING, 2016)

Neural Network for Heterogeneous Annotations. - Hongshen Chen; Yue Zhang 004; Qun Liu 001 (EMNLP, 2016)

Automatic Features for Essay Scoring - An Empirical Study. - Fei Dong; Yue Zhang 004 (EMNLP, 2016)

Exploiting Mutual Benefits between Syntax and Semantic Roles using Neural Network. - Peng Shi 010; Zhiyang Teng; Yue Zhang 004 (EMNLP, 2016)

AMR-to-text generation as a Traveling Salesman Problem. - Linfeng Song; Yue Zhang 004; Xiaochang Peng; Zhiguo Wang; Daniel Gildea (EMNLP, 2016)

Context-Sensitive Lexicon Features for Neural Sentiment Analysis. - Zhiyang Teng; Duy-Tin Vo; Yue Zhang 004 (EMNLP, 2016)

Bag-of-Embeddings for Text Classification. - Peng Jin; Yue Zhang 004; Xingyuan Chen; Yunqing Xia (IJCAI, 2016)

Joint Models for Extracting Adverse Drug Events from Biomedical Text. - Fei Li 021; Yue Zhang 004; Meishan Zhang; Donghong Ji (IJCAI, 2016)

Multi-prototype Chinese Character Embedding. - Yanan Lu; Yue Zhang 004; Dong-Hong Ji (LREC, 2016)

LibN3L: A Lightweight Package for Neural NLP. - Meishan Zhang; Jie Yang 039; Zhiyang Teng; Yue Zhang 004 (LREC, 2016)

Evaluating a Deterministic Shift-Reduce Neural Parser for Constituent Parsing. - Hao Zhou 012; Yue Zhang 004; Shujian Huang; Xinyu Dai; Jiajun Chen 001 (LREC, 2016)

Expectation-Regulated Neural Model for Event Mention Extraction. - Ching-Yun Chang; Zhiyang Teng; Yue Zhang 004 (HLT-NAACL, 2016)

Transition-Based Syntactic Linearization with Lookahead Features. - Ratish Puduppully; Yue Zhang 004; Manish Shrivastava 001 (HLT-NAACL, 2016)

Exploiting meta features for dependency parsing and part-of-speech tagging. - Wenliang Chen; Min Zhang 005; Yue Zhang 004; Xiangyu Duan (Artif. Intell., 2016)

Training Dependency Parsers with Partial Annotation. - Zhenghua Li; Yue Zhang 004; Jiayuan Chao; Min Zhang 005 (CoRR, 2016)

Bidirectional Tree-Structured LSTM with Head Lexicalization. - Zhiyang Teng; Yue Zhang 004 (CoRR, 2016)

Hyperbolic Dependency Tree Visualization for Parser Evaluation. - Le Wang; Yue Zhang 004; Lei Shi 002 (Int. J. Softw. Informatics, 2016)

Enhancing Shift-Reduce Constituent Parsing with Action N-Gram Model. - Hao Zhou 012; Shujian Huang; Junsheng Zhou; Yue Zhang 004; Huadong Chen; Xinyu Dai; Chuan Cheng; Jiajun Chen 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2016)

AMR-to-text Generation with Synchronous Node Replacement Grammar. - Linfeng Song; Xiaochang Peng; Yue Zhang 004; Zhiguo Wang; Daniel Gildea (ACL (2), 2017)

Universal Dependencies Parsing for Colloquial Singaporean English. - Hongmin Wang; Yue Zhang 004; GuangYong Leonard Chan; Jie Yang 039; Hai Leong Chieu (ACL (1), 2017)

Neural Word Segmentation with Rich Pretraining. - Jie Yang 039; Yue Zhang 004; Fei Dong (ACL (1), 2017)

Attention-based Recurrent Convolutional Neural Network for Automatic Essay Scoring. - Fei Dong; Yue Zhang 004; Jie Yang 039 (CoNLL, 2017)

Attention Modeling for Targeted Sentiment. - Jiangming Liu; Yue Zhang 004 (EACL (2), 2017)

Transition-Based Deep Input Linearization. - Ratish Puduppully; Yue Zhang 004; Manish Shrivastava 001 (EACL (1), 2017)

Transition-Based Disfluency Detection using LSTMs. - Shaolei Wang; Wanxiang Che; Yue Zhang 004; Meishan Zhang; Ting Liu 001 (EMNLP, 2017)

Opinion Recommendation Using A Neural Model. - Zhongqing Wang; Yue Zhang 004 (EMNLP, 2017)

Integrating Order Information and Event Relation for Script Event Prediction. - Zhongqing Wang; Yue Zhang 004; Ching-Yun Chang (EMNLP, 2017)

End-to-End Neural Relation Extraction with Global Optimization. - Meishan Zhang; Yue Zhang 004; Guohong Fu (EMNLP, 2017)

Word-Context Character Embeddings for Chinese Word Segmentation. - Hao Zhou 012; Zhenting Yu; Yue Zhang 004; Shujian Huang; Xin-Yu Dai; Jiajun Chen 001 (EMNLP, 2017)

Semantic-frame representation for event detection on Twitter. - Yanxia Qin; Yue Zhang 004; Min Zhang 005; Dequan Zheng (IALP, 2017)

Joint bi-affine parsing and semantic role labeling. - Peng Shi 010; Yue Zhang 004 (IALP, 2017)

Supervised learning for robust term extraction. - Yu Yuan; Jie Gao 009; Yue Zhang 004 (IALP, 2017)

CBOS: Continuos bag of sentences for learning sentence embeddings. - Ye Yuan 001; Yue Zhang 004 (IALP, 2017)

DDoS Event Forecasting using Twitter Data. - Zhongqing Wang; Yue Zhang 004 (IJCAI, 2017)

A Neural Model for Joint Event Detection and Summarization. - Zhongqing Wang; Yue Zhang 004 (IJCAI, 2017)

Deep Learning in Lexical Analysis and Parsing. - Wanxiang Che; Yue Zhang 004 (IJCNLP (Tutorial Abstracts), 2017)

Implicit Syntactic Features for Target-dependent Sentiment Analysis. - Yuze Gao; Yue Zhang 004; Tong Xiao (IJCNLP(1), 2017)

Abstractive Multi-document Summarization by Partial Tree Extraction, Recombination and Linearization. - Litton J. Kurisinkel; Yue Zhang 004; Vasudeva Varma (IJCNLP(1), 2017)

Dependency Parsing with Partial Annotations: An Empirical Comparison. - Yue Zhang 004; Zhenghua Li; Jun Lang 001; Qingrong Xia; Min Zhang 005 (IJCNLP(1), 2017)

Neural Reranking for Named Entity Recognition. - Jie Yang 039; Yue Zhang 004; Fei Dong (RANLP, 2017)

A transition-based joint model for disease named entity recognition and normalization. - Yinxia Lou; Yue Zhang 004; Tao Qian 002; Fei Li 021; Shufeng Xiong; Donghong Ji (Bioinform., 2017)

Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. - Wenliang Chen; Muhua Zhu; Min Zhang 005; Yue Zhang 004; Jingbo Zhu (Comput. Intell., 2017)

YEDDA: A Lightweight Collaborative Text Span Annotation Tool. - Jie Yang 039; Yue Zhang 004 (CoRR, 2017)

A Neural Probabilistic Structured-Prediction Method for Transition-Based Natural Language Processing. - Hao Zhou 012; Yue Zhang 004; Chuan Cheng; Shujian Huang; Xinyu Dai; Jiajun Chen 001 (J. Artif. Intell. Res., 2017)

Head-Lexicalized Bidirectional Tree LSTMs. - Zhiyang Teng; Yue Zhang 004 (Trans. Assoc. Comput. Linguistics, 2017)

Multi-Modal Multi-Task Learning for Automatic Dietary Assessment. - Qi Liu 049; Yue Zhang 004; Zhenguang Liu; Ye Yuan 001; Li Cheng 001; Roger Zimmermann (AAAI, 2018)

Improved English to Russian Translation by Neural Suffix Prediction. - Kai Song; Yue Zhang 004; Min Zhang 005; Weihua Luo (AAAI, 2018)

A Graph-to-Sequence Model for AMR-to-Text Generation. - Linfeng Song; Yue Zhang 004; Zhiguo Wang; Daniel Gildea (ACL (1), 2018)

A Rank-Based Similarity Metric for Word Embeddings. - Enrico Santus; Hongmin Wang; Emmanuele Chersoni; Yue Zhang 004 (ACL (2), 2018)

NCRF++: An Open-source Neural Sequence Labeling Toolkit. - Jie Yang 039; Yue Zhang 004 (ACL (4), 2018)

YEDDA: A Lightweight Collaborative Text Span Annotation Tool. - Jie Yang 039; Yue Zhang 004; Linwei Li; Xingxuan Li (ACL (4), 2018)

Sentence-State LSTM for Text Representation. - Yue Zhang 004; Qi Liu 049; Linfeng Song (ACL (1), 2018)

Chinese NER Using Lattice LSTM. - Yue Zhang 004; Jie Yang 039 (ACL (1), 2018)

Linked Document Classification by Network Representation Learning. - Yue Zhang 004; Liying Zhang; Yao Liu (CCL, 2018)

Learning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction. - Junwen Duan; Yue Zhang 004; Xiao Ding; Ching-Yun Chang; Ting Liu 001 (COLING, 2018)

Two Local Models for Neural Constituent Parsing. - Zhiyang Teng; Yue Zhang 004 (COLING, 2018)

Design Challenges and Misconceptions in Neural Sequence Labeling. - Jie Yang 039; Shuailong Liang; Yue Zhang 004 (COLING, 2018)

N-ary Relation Extraction using Graph-State LSTM. - Linfeng Song; Yue Zhang 004; Zhiguo Wang; Daniel Gildea (EMNLP, 2018)

Learning How to Self-Learn: Enhancing Self-Training Using Neural Reinforcement Learning. - Chenhua Chen; Yue Zhang 004; Yuze Gao (IALP, 2018)

Event Factuality Identification via Generative Adversarial Networks with Auxiliary Classification. - Zhong Qian; Peifeng Li; Yue Zhang 004; Guodong Zhou; Qiaoming Zhu (IJCAI, 2018)

Joint Extraction of Entities and Relations Based on a Novel Graph Scheme. - Shaolei Wang; Yue Zhang 004; Wanxiang Che; Ting Liu 001 (IJCAI, 2018)

Neural Transition-based Syntactic Linearization. - Linfeng Song; Yue Zhang 004; Daniel Gildea (INLG, 2018)

Cross-lingual Terminology Extraction for Translation Quality Estimation. - Yu Yuan; Yuze Gao; Yue Zhang 004; Serge Sharoff (LREC, 2018)

Mining Evidences for Concept Stock Recommendation. - Qi Liu 049; Yue Zhang 004 (NAACL-HLT, 2018)

Learning Domain Representation for Multi-Domain Sentiment Classification. - Qi Liu 049; Yue Zhang 004; Jiangming Liu (NAACL-HLT, 2018)

Leveraging Context Information for Natural Question Generation. - Linfeng Song; Zhiguo Wang; Wael Hamza; Yue Zhang 004; Daniel Gildea (NAACL-HLT (2), 2018)

PE-TU Participation at TAC 2018 Drug-Drug Interaction Extraction from Drug Labels. - Yue Zhang 004; Parisa Kordjamshidi (TAC, 2018)

Learning How to Self-Learn: Enhancing Self-Training Using Neural Reinforcement Learning. - Chenhua Chen; Yue Zhang 004 (CoRR, 2018)

Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks. - Linfeng Song; Zhiguo Wang; Mo Yu; Yue Zhang 004; Radu Florian; Daniel Gildea (CoRR, 2018)

Frame-Based Representation for Event Detection on Twitter. - Yanxia Qin; Yue Zhang 004; Min Zhang 005; Dequan Zheng (IEICE Trans. Inf. Syst., 2018)

Transition-Based Neural Word Segmentation Using Word-Level Features. - Meishan Zhang; Yue Zhang 004; Guohong Fu (J. Artif. Intell. Res., 2018)

Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks. - Shuailong Liang; Olivia Nicol; Yue Zhang 004 (AAAI, 2019)

A Neural Network Approach to Verb Phrase Ellipsis Resolution. - Weinan Zhang 003; Yue Zhang 004; Yuanxing Liu 001; Donglin Di; Ting Liu 001 (AAAI, 2019)

Cross-Domain NER using Cross-Domain Language Modeling. - Chen Jia; Liang Xiao 001; Yue Zhang 004 (ACL (1), 2019)

Open Domain Event Extraction Using Neural Latent Variable Models. - Xiao Liu 029; Heyan Huang; Yue Zhang 004 (ACL (1), 2019)

Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation. - Cunxiang Wang; Shuailong Liang; Yue Zhang 004; Xiaonan Li; Tian Gao (ACL (1), 2019)

Leveraging Local and Global Patterns for Self-Attention Networks. - Mingzhou Xu; Derek F. Wong; Baosong Yang; Yue Zhang 004; Lidia S. Chao (ACL (1), 2019)

Latent Variable Sentiment Grammar. - Liwen Zhang; Kewei Tu; Yue Zhang 004 (ACL (1), 2019)

Tree Communication Models for Sentiment Analysis. - Yuan Zhang 015; Yue Zhang 004 (ACL (1), 2019)

Multi-Granular Text Encoding for Self-Explaining Categorization. - Zhiguo Wang; Yue Zhang 004; Mo Yu; Wei Zhang; Lin Pan 003; Linfeng Song; Kun Xu 005; Yousef El-Kurdi (BlackboxNLP@ACL, 2019)

SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. - Yue Zhang 004; Wei Jiang; Qingrong Xia; Junjie Cao; Rui Wang 005; Zhenghua Li; Min Zhang 005 (CoNLL Shared Task, 2019)

Domain Adaptive Neural Sentence Compression by Tree Cutting. - Litton J. Kurisinkel; Yue Zhang 004; Vasudeva Varma (ECIR (1), 2019)

Hierarchically-Refined Label Attention Network for Sequence Labeling. - Leyang Cui; Yue Zhang 004 (EMNLP/IJCNLP (1), 2019)

Contrastive Attention Mechanism for Abstractive Sentence Summarization. - Xiangyu Duan; Hongfei Yu; Mingming Yin; Min Zhang 005; Weihua Luo; Yue Zhang 004 (EMNLP/IJCNLP (1), 2019)

A Pilot Study for Chinese SQL Semantic Parsing. - Qingkai Min; Yuefeng Shi; Yue Zhang 004 (EMNLP/IJCNLP (1), 2019)

Leveraging Dependency Forest for Neural Medical Relation Extraction. - Linfeng Song; Yue Zhang 004; Daniel Gildea; Mo Yu; Zhiguo Wang; Jinsong Su (EMNLP/IJCNLP (1), 2019)

Syntax-Enhanced Self-Attention-Based Semantic Role Labeling. - Yue Zhang 004; Rui Wang 005; Luo Si (EMNLP/IJCNLP (1), 2019)

Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank. - Meishan Zhang; Yue Zhang 004; Guohong Fu (EMNLP/IJCNLP (1), 2019)

Investigating Lexical and Semantic Cognition by Using Neural Network to Encode and Decode Brain Imaging. - Lu Cao; Yue Zhang 004 (HBAI@IJCAI, 2019)

Extracting Entities and Events as a Single Task Using a Transition-Based Neural Model. - Junchi Zhang; Yanxia Qin; Yue Zhang 004; Mengchi Liu; Donghong Ji (IJCAI, 2019)

Bend Detection of Bridge Chords in UAV Images via Region-Based Deep Semantic Segmentation Network. - Xinxiang Zhang; Ye Wang 006; Han Wang; Yue Zhang 004; Hao Wu 059; Mingbo Zhao (INDIN, 2019)

Sub-Graph Regularization for Scalable Semi-supervised Classification. - Mingbo Zhao; Yue Zhang 004; Xue-Song Tang (INDIN, 2019)

Code-Switching for Enhancing NMT with Pre-Specified Translation. - Kai Song; Yue Zhang 004; Heng Yu 006; Weihua Luo; Kun Wang; Min Zhang 005 (NAACL-HLT (1), 2019)

Subword Encoding in Lattice LSTM for Chinese Word Segmentation. - Jie Yang 039; Yue Zhang 004; Shuailong Liang (NAACL-HLT (1), 2019)

Improving Cross-Domain Chinese Word Segmentation with Word Embeddings. - Yuxiao Ye; Weikang Li; Yue Zhang 004; Likun Qiu; Jian Sun 021 (NAACL-HLT (1), 2019)

Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing. - Xue Peng; Zhenghua Li; Min Zhang 005; Rui Wang 005; Yue Zhang 004; Luo Si (NLPCC (2), 2019)

Learning Domain Invariant Word Representations for Parsing Domain Adaptation. - Xiuming Qiao; Yue Zhang 004; Tiejun Zhao (NLPCC (1), 2019)

Domain Representation for Knowledge Graph Embedding. - Cunxiang Wang; Feiliang Ren; Zhichao Lin; Chenxu Zhao; Tian Xie; Yue Zhang 004 (NLPCC (1), 2019)

Shared-Private LSTM for Multi-domain Text Classification. - Haiming Wu; Yue Zhang 004; Xi Jin; Yun Xue; Ziwen Wang 004 (NLPCC (2), 2019)

Learning Word Embeddings with Domain Awareness. - Guoyin Wang 002; Yan Song 003; Yue Zhang 004; Dong Yu 001 (CoRR, 2019)

Duality Regularization for Unsupervised Bilingual Lexicon Induction. - Xuefeng Bai 001; Yue Zhang 004; Hailong Cao; Tiejun Zhao (CoRR, 2019)

Exploring Hierarchical Interaction Between Review and Summary for Better Sentiment Analysis. - Sen Yang 005; Leyang Cui; Yue Zhang 004 (CoRR, 2019)

Using Dynamic Embeddings to Improve Static Embeddings. - Yile Wang 001; Leyang Cui; Yue Zhang 004 (CoRR, 2019)

Multi-task and multi-view training for end-to-end relation extraction. - Junchi Zhang; Yue Zhang 004; Donghong Ji; Mengchi Liu (Neurocomputing, 2019)

ALG: Adaptive low-rank graph regularization for scalable semi-supervised and unsupervised learning. - Mingbo Zhao; Yue Zhang 004; Zhao Zhang 001; Jiao Liu; Weijian Kong (Neurocomputing, 2019)

Sentiment-aware volatility forecasting. - Frank Z. Xing; Erik Cambria; Yue Zhang 004 (Knowl. Based Syst., 2019)

Semantic Neural Machine Translation using AMR. - Linfeng Song; Daniel Gildea; Yue Zhang 004; Zhiguo Wang; Jinsong Su (Trans. Assoc. Comput. Linguistics, 2019)

TEND: A Target-Dependent Representation Learning Framework for News Document. - Junwen Duan; Xiao Ding; Yue Zhang 004; Ting Liu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

DeepClue: Visual Interpretation of Text-Based Deep Stock Prediction. - Lei Shi 002; Zhiyang Teng; Le Wang; Yue Zhang 004; Alexander Binder (IEEE Trans. Knowl. Data Eng., 2019)

Latent Emotion Memory for Multi-Label Emotion Classification. - Hao Fei 001; Yue Zhang 004; Yafeng Ren; Donghong Ji (AAAI, 2020)

Relation Extraction Exploiting Full Dependency Forests. - Lifeng Jin; Linfeng Song; Yue Zhang 004; Kun Xu 005; Wei-Yun Ma; Dong Yu 001 (AAAI, 2020)

Alignment-Enhanced Transformer for Constraining NMT with Pre-Specified Translations. - Kai Song; Kun Wang; Heng Yu 006; Yue Zhang 004; Zhongqiang Huang; Weihua Luo; Xiangyu Duan; Min Zhang 005 (AAAI, 2020)

FAS-Net: Construct Effective Features Adaptively for Multi-Scale Object Detection. - Jiangqiao Yan; Yue Zhang 004; Zhonghan Chang; Tengfei Zhang 004; Menglong Yan; Wenhui Diao; Hongqi Wang; Xian Sun (AAAI, 2020)

Multi-Point Semantic Representation for Intent Classification. - Jinghan Zhang 004; Yuxiao Ye; Yue Zhang 004; Likun Qiu; Bin Fu; Yang Li 218; Zhenglu Yang; Jian Sun 021 (AAAI, 2020)

Evaluating Commonsense in Pre-Trained Language Models. - Xuhui Zhou; Yue Zhang 004; Leyang Cui; Dandan Huang (AAAI, 2020)

MuTual: A Dataset for Multi-Turn Dialogue Reasoning. - Leyang Cui; Yu Wu 012; Shujie Liu 001; Yue Zhang 004; Ming Zhou 001 (ACL, 2020)

Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach. - Wenyu Du; Zhouhan Lin; Yikang Shen; Timothy J. O'Donnell; Yoshua Bengio; Yue Zhang 004 (ACL, 2020)

Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences. - Xiangyu Duan; Baijun Ji; Hao Jia; Min Tan; Min Zhang 005; Boxing Chen; Weihua Luo; Yue Zhang 004 (ACL, 2020)

DRTS Parsing with Structure-Aware Encoding and Decoding. - Qiankun Fu; Yue Zhang 004; Jiangming Liu; Meishan Zhang (ACL, 2020)

Multi-Cell Compositional LSTM for NER Domain Adaptation. - Chen Jia; Yue Zhang 004 (ACL, 2020)

Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog. - Libo Qin 001; Xiao Xu 005; Wanxiang Che; Yue Zhang 004; Ting Liu 001 (ACL, 2020)

Structural Information Preserving for Graph-to-Text Generation. - Linfeng Song; Ante Wang; Jinsong Su; Yue Zhang 004; Kun Xu 005; Yubin Ge; Dong Yu 001 (ACL, 2020)

ZPR2: Joint Zero Pronoun Recovery and Resolution using Multi-Task Learning and BERT. - Linfeng Song; Kun Xu 005; Yue Zhang 004; Jianshu Chen; Dong Yu 001 (ACL, 2020)

Multiscale Collaborative Deep Models for Neural Machine Translation. - Xiangpeng Wei; Heng Yu 006; Yue Hu 002; Yue Zhang 004; Rongxiang Weng; Weihua Luo (ACL, 2020)

Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks. - Bo Zhang 071; Yue Zhang 004; Rui Wang 005; Zhenghua Li; Min Zhang 005 (ACL, 2020)

AMR Parsing with Latent Structural Information. - Qiji Zhou; Yue Zhang 004; Donghong Ji; Hao Tang 012 (ACL, 2020)

Does Chinese BERT Encode Word Structure? - Yile Wang 001; Leyang Cui; Yue Zhang 004 (COLING, 2020)

Layer-Wise Multi-View Learning for Neural Machine Translation. - Qiang Wang 050; Changliang Li; Yue Zhang 004; Tong Xiao; Jingbo Zhu (COLING, 2020)

Sentiment Forecasting in Dialog. - Zhongqing Wang; Xiujun Zhu; Yue Zhang 004; Shoushan Li; Guodong Zhou (COLING, 2020)

Semantic Role Labeling with Heterogeneous Syntactic Knowledge. - Qingrong Xia; Rui Wang 005; Zhenghua Li; Yue Zhang 004; Min Zhang 005 (COLING, 2020)

Financial Sentiment Analysis: An Investigation into Common Mistakes and Silver Bullets. - Frank Z. Xing; Lorenzo Malandri; Yue Zhang 004; Erik Cambria (COLING, 2020)

Making the Best Use of Review Summary for Sentiment Analysis. - Sen Yang 005; Leyang Cui; Jun Xie; Yue Zhang 004 (COLING, 2020)

Online Back-Parsing for AMR-to-Text Generation. - Xuefeng Bai 001; Linfeng Song; Yue Zhang 004 (EMNLP (1), 2020)

Inducing Target-Specific Latent Structures for Aspect Sentiment Classification. - Chenhua Chen; Zhiyang Teng; Yue Zhang 004 (EMNLP (1), 2020)

What Have We Achieved on Text Summarization? - Dandan Huang; Leyang Cui; Sen Yang 005; Guangsheng Bao; Kun Wang; Jun Xie; Yue Zhang 004 (EMNLP (1), 2020)

Inference-Masked Loss for Deep Structured Output Learning. - Quan Guo; Hossein Rajaby Faghihi; Yue Zhang 004; Andrzej Uszok; Parisa Kordjamshidi (IJCAI, 2020)

LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning. - Jian Liu 030; Leyang Cui; Hanmeng Liu; Dandan Huang; Yile Wang 001; Yue Zhang 004 (IJCAI, 2020)

Dialogue State Induction Using Neural Latent Variable Models. - Qingkai Min; Libo Qin 001; Zhiyang Teng; Xiao Liu 029; Yue Zhang 004 (IJCAI, 2020)

CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP. - Libo Qin 001; Minheng Ni; Yue Zhang 004; Wanxiang Che (IJCAI, 2020)

SemEval-2020 Task 4: Commonsense Validation and Explanation. - Cunxiang Wang; Shuailong Liang; Yili Jin 001; Yilong Wang 001; Xiaodan Zhu 001; Yue Zhang 004 (SemEval@COLING, 2020)

Topic-informed neural approach for biomedical event extraction. - Junchi Zhang; Mengchi Liu; Yue Zhang 004 (Artif. Intell. Medicine, 2020)

Deep Learning Approaches to Text Production. - Yue Zhang 004 (Comput. Linguistics, 2020)

Exploiting Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network. - Xuefeng Bai 001; Pengbo Liu 006; Yue Zhang 004 (CoRR, 2020)

News-Driven Stock Prediction With Attention-Based Noisy Recurrent State Transition. - Xiao Liu 029; Heyan Huang; Yue Zhang 004; Changsen Yuan (CoRR, 2020)

Multi-Domain Spoken Language Understanding Using Domain- and Task-Aware Parameterization. - Libo Qin 001; Minheng Ni; Yue Zhang 004; Wanxiang Che; Yangming Li; Ting Liu 001 (CoRR, 2020)

Does BERT Solve Commonsense Task via Commonsense Knowledge? - Leyang Cui; Sijie Cheng; Yu Wu 012; Yue Zhang 004 (CoRR, 2020)

Commonsense Knowledge Graph Reasoning by Selection or Generation? Why? - Cunxiang Wang; Jinhang Wu; Luxin Liu; Yue Zhang 004 (CoRR, 2020)

End-to-End Chinese Parsing Exploiting Lexicons. - Yuan Zhang 015; Zhiyang Teng; Yue Zhang 004 (CoRR, 2020)

An End-to-End Framework for Clothing Collocation Based on Semantic Feature Fusion. - Mingbo Zhao; Yu Liu 030; Xianrui Li; Zhao Zhang 001; Yue Zhang 004 (IEEE Multim., 2020)

Deep-recursive residual network for image semantic segmentation. - Yue Zhang 004; Xianrui Li; Mingquan Lin; Bernard Chiu; Mingbo Zhao (Neural Comput. Appl., 2020)

Emoji-Based Sentiment Analysis Using Attention Networks. - Yinxia Lou; Yue Zhang 004; Fei Li 021; Tao Qian 002; Donghong Ji (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020)

From Genesis to Creole Language: Transfer Learning for Singlish Universal Dependencies Parsing and POS Tagging. - Hongmin Wang; Jie Yang 039; Yue Zhang 004 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020)

Topic-Enhanced Capsule Network for Multi-Label Emotion Classification. - Hao Fei 001; Donghong Ji; Yue Zhang 004; Yafeng Ren (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Investigating Self-Attention Network for Chinese Word Segmentation. - Leilei Gan; Yue Zhang 004 (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Towards Better Word Alignment in Transformer. - Kai Song; Xiaoqing Zhou; Heng Yu 006; Zhongqiang Huang; Yue Zhang 004; Weihua Luo; Xiangyu Duan; Min Zhang 005 (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Lattice LSTM for Chinese Sentence Representation. - Yue Zhang 004; Yile Wang 001; Jie Yang 039 (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Contextualized Rewriting for Text Summarization. - Guangsheng Bao; Yue Zhang 004 (AAAI, 2021)

Brain Decoding Using fNIRS. - Lu Cao; Dandan Huang; Yue Zhang 004; Xiaowei Jiang; Yanan Chen (AAAI, 2021)

Natural Language Inference in Context - Investigating Contextual Reasoning over Long Texts. - Hanmeng Liu; Leyang Cui; Jian Liu 030; Yue Zhang 004 (AAAI, 2021)

Semantic Representation for Dialogue Modeling. - Xuefeng Bai 001; Yulong Chen 001; Linfeng Song; Yue Zhang 004 (ACL/IJCNLP (1), 2021)

G-Transformer for Document-Level Machine Translation. - Guangsheng Bao; Yue Zhang 004; Zhiyang Teng; Boxing Chen; Weihua Luo (ACL/IJCNLP (1), 2021)

DialogSum: A Real-Life Scenario Dialogue Summarization Dataset. - Yulong Chen 001; Yang Liu 124; Liang Chen; Yue Zhang 004 (ACL/IJCNLP (Findings), 2021)

On Commonsense Cues in BERT for Solving Commonsense Tasks. - Leyang Cui; Sijie Cheng; Yu Wu 012; Yue Zhang 004 (ACL/IJCNLP (Findings), 2021)

Template-Based Named Entity Recognition Using BART. - Leyang Cui; Yu Wu 012; Jian Liu 030; Sen Yang 005; Yue Zhang 004 (ACL/IJCNLP (Findings), 2021)

End-to-End AMR Corefencence Resolution. - Qiankun Fu; Linfeng Song; Wenyu Du; Yue Zhang 004 (ACL/IJCNLP (1), 2021)

A Comparison between Pre-training and Large-scale Back-translation for Neural Machine Translation. - Dandan Huang; Kun Wang; Yue Zhang 004 (ACL/IJCNLP (Findings), 2021)

On Compositional Generalization of Neural Machine Translation. - Yafu Li; Yongjing Yin; Yulong Chen 001; Yue Zhang 004 (ACL/IJCNLP (1), 2021)

Generalized Supervised Attention for Text Generation. - Yixian Liu; Liwen Zhang; Xinyu Zhang; Yong Jiang 001; Yue Zhang 004; Kewei Tu (ACL/IJCNLP (Findings), 2021)

Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA? - Cunxiang Wang; Pai Liu; Yue Zhang 004 (ACL/IJCNLP (1), 2021)

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing. - Xiao Wang 001; Qin Liu 010; Tao Gui; Qi Zhang 001; Yicheng Zou; Xin Zhou 012; Jiacheng Ye; Yongxin Zhang; Rui Zheng; Zexiong Pang; Qinzhuo Wu; Zhengyan Li; et al. (ACL (demo), 2021)

Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. - Linyi Yang; Jiazheng Li 002; Padraig Cunningham; Yue Zhang 004; Barry Smyth; Ruihai Dong (ACL/IJCNLP (1), 2021)

What Did You Refer to? Evaluating Co-References in Dialogue. - Weinan Zhang 003; Yue Zhang 004; Hanlin Tang; Zhengyu Zhao 003; Caihai Zhu; Ting Liu 001 (ACL/IJCNLP (Findings), 2021)

Entity Relation Extraction as Dependency Parsing in Visually Rich Documents. - Yue Zhang 004; Bo Zhang 071; Rui Wang 005; Junjie Cao; Chen Li 001; Zuyi Bao (EMNLP (1), 2021)

Solving Aspect Category Sentiment Analysis as a Text Generation Task. - Jian Liu 030; Zhiyang Teng; Leyang Cui; Hanmeng Liu; Yue Zhang 004 (EMNLP (1), 2021)

Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generation. - Leyang Cui; Yu Wu 012; Shujie Liu 001; Yue Zhang 004 (EMNLP (1), 2021)

When Computational Representation Meets Neuroscience: A Survey on Brain Encoding and Decoding. - Lu Cao; Dandan Huang; Yue Zhang 004 (IJCAI, 2021)

DialogSum Challenge: Summarizing Real-Life Scenario Dialogues. - Yulong Chen 001; Yang Liu 124; Yue Zhang 004 (INLG, 2021)

A Unified Span-Based Approach for Opinion Mining with Syntactic Constituents. - Qingrong Xia; Bo Zhang 071; Rui Wang 005; Zhenghua Li; Yue Zhang 004; Fei Huang 002; Luo Si; Min Zhang 005 (NAACL-HLT, 2021)

Sentence-State LSTMs For Sequence-to-Sequence Learning. - Xuefeng Bai 001; Yafu Li; Zhirui Zhang; Mingzhou Xu; Boxing Chen; Weihua Luo; Derek F. Wong; Yue Zhang 004 (NLPCC (1), 2021)

Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning. - Cunxiang Wang; Boyuan Zheng; Yuchen Niu; Yue Zhang 004 (NLPCC (1), 2021)

Enriching contextualized language model from knowledge graph for biomedical information extraction. - Hao Fei 001; Yafeng Ren; Yue Zhang 004; Donghong Ji; Xiaohui Liang 003 (Briefings Bioinform., 2021)

A span-graph neural model for overlapping entity relation extraction in biomedical texts. - Hao Fei 001; Yue Zhang 004; Yafeng Ren; Donghong Ji (Bioinform., 2021)

Constrained Text Generation with Global Guidance - Case Study on CommonGen. - Yixian Liu; Liwen Zhang; Wenjuan Han; Yue Zhang 004; Kewei Tu (CoRR, 2021)

DialogSumm: A Real-Life Scenario Dialogue Summarization Dataset. - Yulong Chen 001; Yang Liu 124; Liang Chen; Yue Zhang 004 (CoRR, 2021)

Towards Navigation by Reasoning over Spatial Configurations. - Yue Zhang 004; Quan Guo; Parisa Kordjamshidi (CoRR, 2021)

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. - Kaustubh D. Dhole; Varun Gangal; Sebastian Gehrmann; Aadesh Gupta; Zhenhao Li; Saad Mahamood; Abinaya Mahendiran; Simon Mille; Ashish Srivastava; Samson Tan; Tongshuang Wu; Jascha Sohl-Dickstein; et al. (CoRR, 2021)

Syntax grounded graph convolutional network for joint entity and event extraction. - Junchi Zhang; Qi He; Yue Zhang 004 (Neurocomputing, 2021)

Investigating Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network. - Xuefeng Bai 001; Pengbo Liu 006; Yue Zhang 004 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Multi-Task Sequence Tagging for Emotion-Cause Pair Extraction Via Tag Distribution Refinement. - Chuang Fan; Chaofa Yuan; Lin Gui 003; Yue Zhang 004; Ruifeng Xu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Improving Skip-Gram Embeddings Using BERT. - Yile Wang 001; Leyang Cui; Yue Zhang 004 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting. - Linyi Yang; Jiazheng Li 002; Ruihai Dong; Yue Zhang 004; Barry Smyth (AAAI, 2022)

Graph Pre-training for AMR Parsing and Generation. - Xuefeng Bai 001; Yulong Chen 001; Yue Zhang 004 (ACL (1), 2022)

Explicit Object Relation Alignment for Vision and Language Navigation. - Yue Zhang 004; Parisa Kordjamshidi (ACL (student), 2022)

Discrete Opinion Tree Induction for Aspect-based Sentiment Analysis. - Chenhua Chen; Zhiyang Teng; Zhongqing Wang; Yue Zhang 004 (ACL (1), 2022)

Investigating Non-local Features for Neural Constituency Parsing. - Leyang Cui; Sen Yang 005; Yue Zhang 004 (ACL (1), 2022)

A Graph Enhanced BERT Model for Event Prediction. - Li Du; Xiao Ding; Yue Zhang 004; Ting Liu 001; Bing Qin 001 (ACL (Findings), 2022)

Prompt-Driven Neural Machine Translation. - Yafu Li; Yongjing Yin; Jing Li; Yue Zhang 004 (ACL (Findings), 2022)

A Rationale-Centric Framework for Human-in-the-loop Machine Learning. - Jinghui Lu; Linyi Yang; Brian MacNamee; Yue Zhang 004 (ACL (1), 2022)

Challenges to Open-Domain Constituency Parsing. - Sen Yang 005; Leyang Cui; Ruoxi Ning; Di Wu; Yue Zhang 004 (ACL (Findings), 2022)

Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings. - Jiangbin Zheng 002; Yile Wang 001; Ge Wang; Jun Xia 001; Yufei Huang 002; Guojiang Zhao; Yue Zhang 004; Stan Z. Li (ACL (1), 2022)

Semantic-based Pre-training for Dialogue Understanding. - Xuefeng Bai 001; Linfeng Song; Yue Zhang 004 (COLING, 2022)

LOViS: Learning Orientation and Visual Signals for Vision and Language Navigation. - Yue Zhang 004; Parisa Kordjamshidi (COLING, 2022)

Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expect. - Naihao Deng; Yulong Chen 001; Yue Zhang 004 (COLING, 2022)

Mere Contrastive Learning for Cross-Domain Sentiment Analysis. - Yun Luo; Fang Guo; Zihan Liu; Yue Zhang 004 (COLING, 2022)

Exploiting Sentiment and Common Sense for Zero-shot Stance Detection. - Yun Luo; Zihan Liu; Yuefeng Shi; Stan Z. Li; Yue Zhang 004 (COLING, 2022)

On the Role of Pre-trained Language Models in Word Ordering: A Case Study with BART. - Zebin Ou; Meishan Zhang; Yue Zhang 004 (COLING, 2022)

Human-in-the-loop Robotic Grasping Using BERT Scene Representation. - Yaoxian Song; Penglei Sun; Pengfei Fang; Linyi Yang; Yanghua Xiao; Yue Zhang 004 (COLING, 2022)

Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction. - Yidong Wang; Hao Wu 059; Ao Liu 008; Wenxin Hou; Zhen Wu 002; Jindong Wang 001; Takahiro Shinozaki; Manabu Okumura; Yue Zhang 004 (COLING, 2022)

FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition. - Linyi Yang; Lifan Yuan; Leyang Cui; Wenyang Gao; Yue Zhang 004 (COLING, 2022)

Categorizing Semantic Representations for Neural Machine Translation. - Yongjing Yin; Yafu Li; Fandong Meng; Jie Zhou 016; Yue Zhang 004 (COLING, 2022)

AdaPrompt: Adaptive Model Training for Prompt-based NLP. - Yulong Chen 001; Yang Liu 124; Li Dong; Shuohang Wang; Chenguang Zhu 001; Michael Zeng 001; Yue Zhang 004 (EMNLP (Findings), 2022)

Cross-domain Generalization for AMR Parsing. - Xuefeng Bai 001; Sen Yang 005; Leyang Cui; Linfeng Song; Yue Zhang 004 (EMNLP, 2022)

SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser. - Yue Zhang 004; Bo Zhang 071; Zhenghua Li; Zuyi Bao; Chen Li 001; Min Zhang 005 (EMNLP, 2022)

Multi-Granularity Optimization for Non-Autoregressive Translation. - Yafu Li; Leyang Cui; Yongjing Yin; Yue Zhang 004 (EMNLP, 2022)

RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees. - Tengxiao Liu; Qipeng Guo; Xiangkun Hu; Yue Zhang 004; Xipeng Qiu; Zheng Zhang 001 (EMNLP, 2022)

MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction. - Yue Zhang 004; Zhenghua Li; Zuyi Bao; Jiacheng Li; Bo Zhang 071; Chen Li 001; Fei Huang 002; Min Zhang 005 (NAACL-HLT, 2022)

USB: A Unified Semi-supervised Learning Benchmark for Classification. - Yidong Wang; Hao Chen 102; Yue Fan; Wang Sun; Ran Tao 013; Wenxin Hou; Renjie Wang; Linyi Yang; Zhi Zhou 007; Lan-Zhe Guo; Heli Qi; Zhen Wu 002; et al. (NeurIPS, 2022)

Towards Event-level Causal Relation Identification. - Chuang Fan; Daoxing Liu; Libo Qin 001; Yue Zhang 004; Ruifeng Xu 001 (SIGIR, 2022)

Contrastive latent variable models for neural text generation. - Zhiyang Teng; Chenhua Chen; Yan Zhang 004; Yue Zhang 004 (UAI, 2022)

Do Prompts Solve NLP Tasks Using Natural Language? - Sen Yang 005; Yunchen Zhang; Leyang Cui; Yue Zhang 004 (CoRR, 2022)

Towards Robust Online Dialogue Response Generation. - Leyang Cui; Fandong Meng; Yijin Liu; Jie Zhou 016; Yue Zhang 004 (CoRR, 2022)

Challenges for Open-domain Targeted Sentiment Analysis. - Yun Luo; Hongjie Cai; Linyi Yang; Yanxia Qin; Rui Xia; Yue Zhang 004 (CoRR, 2022)

Towards Fine-grained Causal Reasoning and QA. - Linyi Yang; Zhen Wang; Yuxiang Wu; Jie Yang 028; Yue Zhang 004 (CoRR, 2022)

On Effectively Learning of Knowledge in Continual Pre-training. - Cunxiang Wang; Fuli Luo; Yanyang Li; Runxin Xu; Fei Huang 002; Yue Zhang 004 (CoRR, 2022)

The Cross-lingual Conversation Summarization Challenge. - Yulong Chen 001; Ming Zhong 005; Xuefeng Bai 001; Naihao Deng; Jing Li; Xianchao Zhu; Yue Zhang 004 (CoRR, 2022)

A Graph Enhanced BERT Model for Event Prediction. - Li Du; Xiao Ding; Yue Zhang 004; Kai Xiong 002; Ting Liu 001; Bing Qin 001 (CoRR, 2022)

Mining Error Templates for Grammatical Error Correction. - Yue Zhang 004; Haochen Jiang; Zuyi Bao; Bo Zhang 071; Chen Li 001; Zhenghua Li (CoRR, 2022)

DialogSum Challenge: Results of the Dialogue Summarization Shared Task. - Yulong Chen 001; Naihao Deng; Yang Liu 124; Yue Zhang 004 (CoRR, 2022)

USB: A Unified Semi-supervised Learning Benchmark. - Yidong Wang; Hao Chen 102; Yue Fan; Wang Sun; Ran Tao 013; Wenxin Hou; Renjie Wang; Linyi Yang; Zhi Zhou 007; Lan-Zhe Guo; Heli Qi; Zhen Wu 002; et al. (CoRR, 2022)

Open Information Extraction from 2007 to 2022 - A Survey. - Pai Liu; Wenyang Gao; Wenjie Dong; Songfang Huang; Yue Zhang 004 (CoRR, 2022)

Exploiting Sentiment and Common Sense for Zero-shot Stance Detection. - Yun Luo; Zihan Liu; Yuefeng Shi; Yue Zhang 004 (CoRR, 2022)

Pre-Training a Graph Recurrent Network for Language Representation. - Yile Wang 001; Linyi Yang; Zhiyang Teng; Ming Zhou 001; Yue Zhang 004 (CoRR, 2022)

Cross-domain Generalization for AMR Parsing. - Xuefeng Bai 001; Seng Yang; Leyang Cui; Linfeng Song; Yue Zhang 004 (CoRR, 2022)

CSynGEC: Incorporating Constituent-based Syntax for Grammatical Error Correction with a Tailored GEC-Oriented Parser. - Yue Zhang 004; Zhenghua Li (CoRR, 2022)

UniSumm: Unified Few-shot Summarization with Multi-Task Pre-Training and Prefix-Tuning. - Yulong Chen 001; Yang Liu 124; Ruochen Xu; Ziyi Yang; Chenguang Zhu 001; Michael Zeng 001; Yue Zhang 004 (CoRR, 2022)

Can Offline Reinforcement Learning Help Natural Language Understanding? - Ziqi Zhang; Yile Wang 001; Yue Zhang 004; Donglin Wang (CoRR, 2022)

Exploiting Rich Textual User-Product Context for Improving Sentiment Analysis. - Chenyang Lyu; Linyi Yang; Yue Zhang 004; Yvette Graham; Jennifer Foster (CoRR, 2022)

News-driven stock prediction via noisy equity state representation. - Heyan Huang; Xiao Liu 029; Yue Zhang 004; Chong Feng 001 (Neurocomputing, 2022)

End-to-end event factuality prediction using directional labeled graph recurrent network. - Xiao Liu 029; Heyan Huang; Yue Zhang 004 (Inf. Process. Manag., 2022)

Multi-domain Spoken Language Understanding Using Domain- and Task-aware Parameterization. - Libo Qin 001; Fuxuan Wei; Minheng Ni; Yue Zhang 004; Wanxiang Che; Yangming Li; Ting Liu 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022)

Advancing Chinese Event Detection via Revisiting Character Information. - Yanxia Qin; Zhongqing Wang; Yue Zhang 004; Kehai Chen; Min Zhang 005 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022)

Label Attention Network for Structured Prediction. - Leyang Cui; Yafu Li; Yue Zhang 004 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

SemGloVe: Semantic Co-Occurrences for GloVe From BERT. - Leilei Gan; Zhiyang Teng; Yue Zhang 004; Linchao Zhu; Fei Wu 001; Yi Yang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Balancing Precision and Recall for Neural Biomedical Event Extraction. - Fangfang Su; Yue Zhang 004; Fei Li 021; Donghong Ji (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Evidence Integration for Multi-Hop Reading Comprehension With Graph Neural Networks. - Linfeng Song; Zhiguo Wang; Mo Yu; Yue Zhang 004; Radu Florian; Daniel Gildea (IEEE Trans. Knowl. Data Eng., 2022)

Optimizing Attention for Sequence Modeling via Reinforcement Learning. - Hao Fei 001; Yue Zhang 004; Yafeng Ren; Donghong Ji (IEEE Trans. Neural Networks Learn. Syst., 2022)

GLUECons: A Generic Benchmark for Learning under Constraints. - Hossein Rajaby Faghihi; Aliakbar Nafar; Chen Zheng; Roshanak Mirzaee; Yue Zhang 004; Andrzej Uszok; Alexander Wan; Tanawan Premsri; Dan Roth 001; Parisa Kordjamshidi (AAAI, 2023)

Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding. - Hongliang He; Junlei Zhang; Zhenzhong Lan; Yue Zhang 004 (AAAI, 2023)

UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization. - Yulong Chen 001; Yang Liu 124; Ruochen Xu; Ziyi Yang; Chenguang Zhu 001; Michael Zeng 001; Yue Zhang 004 (ACL (1), 2023)

Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation. - Yulong Chen 001; Huajian Zhang; Yijie Zhou; Xuefeng Bai 001; Yueguan Wang; Ming Zhong 005; Jianhao Yan; Yafu Li; Judy Li; Xianchao Zhu; Yue Zhang 004 (ACL (1), 2023)

An AMR-based Link Prediction Approach for Document-level Event Argument Extraction. - Yuqing Yang 004; Qipeng Guo; Xiangkun Hu; Yue Zhang 004; Xipeng Qiu; Zheng Zhang 001 (ACL (1), 2023)

VLN-Trans: Translator for the Vision and Language Navigation Agent. - Yue Zhang 004; Parisa Kordjamshidi (ACL (1), 2023)

Target-Side Augmentation for Document-Level Machine Translation. - Guangsheng Bao; Zhiyang Teng; Yue Zhang 004 (ACL (1), 2023)

Dual Cache for Long Document Neural Coreference Resolution. - Qipeng Guo; Xiangkun Hu; Yue Zhang 004; Xipeng Qiu; Zheng Zhang 001 (ACL (1), 2023)

Explicit Syntactic Guidance for Neural Text Generation. - Yafu Li; Leyang Cui; Jianhao Yan; Yongjing Yin; Wei Bi; Shuming Shi 001; Yue Zhang 004 (ACL (1), 2023)

Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis. - Chenyang Lyu; Linyi Yang; Yue Zhang 004; Yvette Graham; Jennifer Foster (ACL (Findings), 2023)

Learning to Generalize for Cross-domain QA. - Yingjie Niu; Linyi Yang; Ruihai Dong; Yue Zhang 004 (ACL (Findings), 2023)

Distributed Marker Representation for Ambiguous Discourse Markers and Entangled Relations. - Dongyu Ru; Lin Qiu; Xipeng Qiu; Yue Zhang 004; Zheng Zhang 001 (ACL (1), 2023)

Exploiting Abstract Meaning Representation for Open-Domain Question Answering. - Cunxiang Wang; Zhikun Xu; Qipeng Guo; Xiangkun Hu; Xuefeng Bai 001; Zheng Zhang 001; Yue Zhang 004 (ACL (Findings), 2023)

RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering. - Cunxiang Wang; Haofei Yu; Yue Zhang 004 (ACL (Findings), 2023)

Measuring Consistency in Text-based Financial Forecasting Models. - Linyi Yang; Yingpeng Ma; Yue Zhang 004 (ACL (1), 2023)

GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective. - Linyi Yang; Shuibai Zhang; Libo Qin 003; Yafu Li; Yidong Wang; Hanmeng Liu; Jindong Wang 001; Xing Xie 001; Yue Zhang 004 (ACL (Findings), 2023)

Consistency Regularization Training for Compositional Generalization. - Yongjing Yin; Jiali Zeng; Yafu Li; Fandong Meng; Jie Zhou 016; Yue Zhang 004 (ACL (1), 2023)

NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts. - Yue Zhang 004; Bo Zhang 071; Haochen Jiang; Zhenghua Li; Chen Li 001; Fei Huang 002; Min Zhang 005 (ACL (Findings), 2023)

End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions. - Libo Qin 001; Wenbo Pan; Qiguang Chen; Lizi Liao; Zhou Yu; Yue Zhang 004; Wanxiang Che; Min Li 007 (EMNLP, 2023)

RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation. - Yue Zhang 004; Leyang Cui; Enbo Zhao; Wei Bi; Shuming Shi 001 (EMNLP, 2023)

Non-autoregressive Text Editing with Copy-aware Latent Alignments. - Yu Zhang 092; Yue Zhang 004; Leyang Cui; Guohong Fu (EMNLP, 2023)

GEMINI: Controlling The Sentence-Level Summary Style in Abstractive Text Summarization. - Guangsheng Bao; Zebin Ou; Yue Zhang 004 (EMNLP, 2023)

Non-Autoregressive Document-Level Machine Translation. - Guangsheng Bao; Zhiyang Teng; Hao Zhou 012; Jianhao Yan; Yue Zhang 004 (EMNLP (Findings), 2023)

StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding. - Cheng Jiayang; Lin Qiu; Tsz Ho Chan; Tianqing Fang; Weiqi Wang 001; Chunkit Chan; Dongyu Ru; Qipeng Guo; Hongming Zhang 009; Yangqiu Song; Yue Zhang 004; Zheng Zhang 001 (EMNLP, 2023)

LLM-enhanced Self-training for Cross-domain Constituency Parsing. - Jianling Li; Meishan Zhang; Peiming Guo; Min Zhang 005; Yue Zhang 004 (EMNLP, 2023)

Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts. - Tengxiao Liu; Qipeng Guo; Yuqing Yang 004; Xiangkun Hu; Yue Zhang 004; Xipeng Qiu; Zheng Zhang 001 (EMNLP, 2023)

LogiCoT: Logical Chain-of-Thought Instruction Tuning. - Hanmeng Liu; Zhiyang Teng; Leyang Cui; Chaoli Zhang; Qiji Zhou; Yue Zhang 004 (EMNLP (Findings), 2023)

Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information. - Yun Luo; Zhen Yang; Fandong Meng; Yingjie Li 008; Jie Zhou 016; Yue Zhang 004 (EMNLP (Findings), 2023)

Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future. - Linyi Yang; Yaoxian Song; Xuan Ren; Chenyang Lyu; Yidong Wang; Jingming Zhuo; Lingqiao Liu; Jindong Wang 001; Jennifer Foster; Yue Zhang 004 (EMNLP, 2023)

TRAMS: Training-free Memory Selection for Long-range Language Modeling. - Haofei Yu; Cunxiang Wang; Yue Zhang 004; Wei Bi (EMNLP (Findings), 2023)

Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus. - Tianhang Zhang; Lin Qiu; Qipeng Guo; Cheng Deng; Yue Zhang 004; Zheng Zhang 001; Chenghu Zhou; Xinbing Wang; Luoyi Fu (EMNLP, 2023)

Diabetic Retinopathy Grading with Weakly-Supervised Lesion Priors. - Junlin Hou; Fan Xiao; Jilan Xu; Rui Feng 001; Yue Zhang 004; Haidong Zou; Lina Lu; Wenwen Xue (ICASSP, 2023)

Knowledgeable Salient Span Mask for Enhancing Language Models as Knowledge Base. - Cunxiang Wang; Fuli Luo; Yanyang Li; Runxin Xu; Fei Huang 002; Yue Zhang 004 (NLPCC (2), 2023)

Token-level Fitting Issues of Seq2seq Models. - Guangsheng Bao; Zhiyang Teng; Yue Zhang 004 (RepL4NLP@ACL, 2023)

SciMine: An Efficient Systematic Prioritization Model Based on Richer Semantic Information. - Fang Guo; Yun Luo; Linyi Yang; Yue Zhang 004 (SIGIR, 2023)

MA-MRC: A Multi-answer Machine Reading Comprehension Dataset. - Zhiang Yue; Jingping Liu; Cong Zhang; Chao Wang 095; Haiyun Jiang; Yue Zhang 004; Xianyang Tian; Zhedong Cen; Yanghua Xiao; Tong Ruan (SIGIR, 2023)

Improving (Dis)agreement Detection with Inductive Social Relation Information From Comment-Reply Interactions. - Yun Luo; Zihan Liu; Stan Z. Li; Yue Zhang 004 (WWW, 2023)

Learning 6-DoF Fine-grained Grasp Detection Based on Part Affordance Grounding. - Yaoxian Song; Penglei Sun; Yi Ren; Yu Zheng 001; Yue Zhang 004 (CoRR, 2023)

Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation. - Tao Fang; Shu Yang 010; Kaixin Lan; Derek F. Wong; Jinpeng Hu; Lidia S. Chao; Yue Zhang 004 (CoRR, 2023)

Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4. - Hanmeng Liu; Ruoxi Ning; Zhiyang Teng; Jian Liu 030; Qiji Zhou; Yue Zhang 004 (CoRR, 2023)

GEMINI: Controlling the Sentence-level Writing Style for Abstractive Text Summarization. - Guangsheng Bao; Zebin Ou; Yue Zhang 004 (CoRR, 2023)

A Curriculum View of Robust Loss Functions. - Zebin Ou; Yue Zhang 004 (CoRR, 2023)

Investigating Forgetting in Pre-Trained Representations Through Continual Learning. - Yun Luo; Zhen Yang; Xuefeng Bai 001; Fandong Meng; Jie Zhou 016; Yue Zhang 004 (CoRR, 2023)

LogiCoT: Logical Chain-of-Thought Instruction-Tuning Data Collection with GPT-4. - Hanmeng Liu; Zhiyang Teng; Leyang Cui; Chaoli Zhang; Qiji Zhou; Yue Zhang 004 (CoRR, 2023)

Mitigating Catastrophic Forgetting in Task-Incremental Continual Learning with Adaptive Classification Criterion. - Yun Luo; Xiaotian Lin; Zhen Yang; Fandong Meng; Jie Zhou 016; Yue Zhang 004 (CoRR, 2023)

Evaluating Open Question Answering Evaluation. - Cunxiang Wang; Sirui Cheng; Zhikun Xu; Bowen Ding; Yidong Wang; Yue Zhang 004 (CoRR, 2023)

Non-Autoregressive Document-Level Machine Translation (NA-DMT): Exploring Effective Approaches, Challenges, and Opportunities. - Guangsheng Bao; Zhiyang Teng; Yue Zhang 004 (CoRR, 2023)

Multi-Task Instruction Tuning of LLaMa for Specific Scenarios: A Preliminary Study on Writing Assistance. - Yue Zhang 004; Leyang Cui; Deng Cai 002; Xinting Huang; Tao Fang; Wei Bi (CoRR, 2023)

Deepfake Text Detection in the Wild. - Yafu Li; Qintong Li; Leyang Cui; Wei Bi; Longyue Wang; Linyi Yang; Shuming Shi 001; Yue Zhang 004 (CoRR, 2023)

Out-of-Distribution Generalization in Text Classification: Past, Present, and Future. - Linyi Yang; Yaoxiao Song; Xuan Ren; Chenyang Lyu; Yidong Wang; Lingqiao Liu; Jindong Wang 001; Jennifer Foster; Yue Zhang 004 (CoRR, 2023)

EASE: An Easily-Customized Annotation System Powered by Efficiency Enhancement Mechanisms. - Naihao Deng; Yikai Liu; Mingye Chen; Winston Wu; Siyang Liu 003; Yulong Chen 001; Yue Zhang 004; Rada Mihalcea (CoRR, 2023)

PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. - Kaijie Zhu; Jindong Wang 001; Jiaheng Zhou; Zichen Wang; Hao Chen 102; Yidong Wang; Linyi Yang; Wei Ye 004; Neil Zhenqiang Gong; Yue Zhang 004; Xing Xie 001 (CoRR, 2023)

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. - Yidong Wang; Zhuohao Yu 001; Zhengran Zeng; Linyi Yang; Cunxiang Wang; Hao Chen 102; Chaoya Jiang; Rui Xie 003; Jindong Wang 001; Xing Xie 001; Wei Ye 004; Shikun Zhang; et al. (CoRR, 2023)

Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model. - Jiong Cai; Yong Jiang 001; Yue Zhang 004; Chengyue Jiang; Ke Yu; Jianhui Ji; Rong Xiao 005; Haihong Tang; Tao Wang 056; Zhongqiang Huang; Pengjun Xie; Fei Huang 002; et al. (CoRR, 2023)

Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation. - Yulong Chen 001; Huajian Zhang; Yijie Zhou; Xuefeng Bai 001; Yueguan Wang; Ming Zhong 005; Jianhao Yan; Yafu Li; Judy Li; Michael Zhu; Yue Zhang 004 (CoRR, 2023)

DPMix: Mixture of Depth and Point Cloud Video Experts for 4D Action Segmentation. - Yue Zhang 004; Hehe Fan; Yi Yang 001; Mohan S. Kankanhalli (CoRR, 2023)

An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning. - Yun Luo; Zhen Yang; Fandong Meng; Yafu Li; Jie Zhou 016; Yue Zhang 004 (CoRR, 2023)

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models. - Yue Zhang 004; Yafu Li; Leyang Cui; Deng Cai 002; Lemao Liu; Tingchen Fu; Xinting Huang; Enbo Zhao; Yu Zhang 092; Yulong Chen 001; Longyue Wang; Anh Tuan Luu; et al. (CoRR, 2023)

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. - Cunxiang Wang; Xiaoze Liu; Yuanhao Yue; Xiangru Tang; Tianhang Zhang; Cheng Jiayang; Yunzhi Yao; Wenyang Gao; Xuming Hu; Zehan Qi; Yidong Wang; Linyi Yang; et al. (CoRR, 2023)

GLoRE: Evaluating Logical Reasoning of Large Language Models. - Hanmeng Liu; Zhiyang Teng; Ruoxi Ning; Jian Liu 030; Qiji Zhou; Yue Zhang 004 (CoRR, 2023)

Dynamics of Instruction Tuning: Each Ability of Large Language Models Has Its Own Growth Pace. - Chiyu Song; Zhanchao Zhou; Jianhao Yan; Yuejiao Fei; Zhenzhong Lan; Yue Zhang 004 (CoRR, 2023)

Distantly supervised relation extraction with KB-enhanced reconstructed latent iterative graph networks. - Qiji Zhou; Yue Zhang 004; Donghong Ji (Knowl. Based Syst., 2023)

OpenFact: Factuality Enhanced Open Knowledge Extraction. - Linfeng Song; Ante Wang; Xiaoman Pan; Hongming Zhang 009; Dian Yu 001; Lifeng Jin; Haitao Mi; Jinsong Su; Yue Zhang 004; Dong Yu 001 (Trans. Assoc. Comput. Linguistics, 2023)

A General Contextualized Rewriting Framework for Text Summarization. - Guangsheng Bao; Yue Zhang 004 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

LogiQA 2.0 - An Improved Dataset for Logical Reasoning in Natural Language Understanding. - Hanmeng Liu; Jian Liu 030; Leyang Cui; Zhiyang Teng; Nan Duan; Ming Zhou 001; Yue Zhang 004 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Modularized Pre-Training for End-to-End Task-Oriented Dialogue. - Libo Qin 001; Xiao Xu 005; Lehan Wang; Yue Zhang 004; Wanxiang Che (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Building Dialogue Understanding Models for Low-resource Language Indonesian from Scratch. - Donglin Di; Xianyang Song; Weinan Zhang 003; Yue Zhang 004; Fanglin Wang (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Nonautoregressive Encoder-Decoder Neural Framework for End-to-End Aspect-Based Sentiment Triplet Extraction. - Hao Fei 001; Yafeng Ren; Yue Zhang 004; Donghong Ji (IEEE Trans. Neural Networks Learn. Syst., 2023)

LLMEval: A Preliminary Study on How to Evaluate Large Language Models. - Yue Zhang 004; Ming Zhang 030; Haipeng Yuan; Shichun Liu; Yongyao Shi; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (AAAI, 2024)

Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs. - Naihao Deng; Zhenjie Sun; Ruiqi He; Aman Sikka; Yulong Chen 001; Lin Ma 006; Yue Zhang 004; Rada Mihalcea (ACL (Findings), 2024)

Pro-Woman, Anti-Man? Identifying Gender Bias in Stance Detection. - Yingjie Li 008; Yue Zhang 004 (ACL (Findings), 2024)

MAGE: Machine-generated Text Detection in the Wild. - Yafu Li; Qintong Li; Leyang Cui; Wei Bi; Zhilin Wang; Longyue Wang; Linyi Yang; Shuming Shi 001; Yue Zhang 004 (ACL (1), 2024)

Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text. - Yafu Li; Zhilin Wang; Leyang Cui; Wei Bi; Shuming Shi 001; Yue Zhang 004 (ACL (Findings), 2024)

What Have We Achieved on Non-autoregressive Translation? - Yafu Li; Huajian Zhang; Jianhao Yan; Yongjing Yin; Yue Zhang 004 (ACL (Findings), 2024)

KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models. - Zhuohao Yu 001; Chang Gao; Wenjin Yao; Yidong Wang; Wei Ye 004; Jindong Wang 001; Xing Xie 001; Yue Zhang 004; Shikun Zhang (ACL (1), 2024)

Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model. - Runzhe Zhan; Xinyi Yang 008; Derek F. Wong; Lidia S. Chao; Yue Zhang 004 (ACL (Findings), 2024)

ZeroStance: Leveraging ChatGPT for Open-Domain Stance Detection via Dataset Generation. - Chenye Zhao; Yingjie Li 008; Cornelia Caragea; Yue Zhang 004 (ACL (Findings), 2024)

NLP-Based Analysis of Annual Reports: Asset Volatility Prediction and Portfolio Strategy Application. - Xiao Li; Yang Xu; Linyi Yang; Yue Zhang 004; Ruihai Dong (AICS, 2024)

Which Sense Dominates Multisensory Semantic Understanding? A Brain Decoding Study. - Dandan Huang; Lu Cao; Zhenting Li; Yue Zhang 004 (LREC/COLING, 2024)

DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding. - Jianhao Yan; Jin Xu; Fandong Meng; Jie Zhou 016; Yue Zhang 004 (LREC/COLING, 2024)

NavHint: Vision and Language Navigation Agent with a Hint Generator. - Yue Zhang 004; Quan Guo; Parisa Kordjamshidi (EACL (Findings), 2024)

PDF-to-Tree: Parsing PDF Text Blocks into a Tree. - Yue Zhang 004; Zhihao Zhang 002; Wenbin Lai; Chong Zhang; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (Findings), 2024)

ECON: On the Detection and Resolution of Evidence Conflicts. - Cheng Jiayang; Chunkit Chan; Qianqian Zhuang; Lin Qiu; Tianhang Zhang; Tengxiao Liu; Yangqiu Song; Yue Zhang 004; Pengfei Liu 003; Zheng Zhang 001 (EMNLP, 2024)

A Survey on Open Information Extraction from Rule-based Model to Large Language Model. - Pai Liu; Wenyang Gao; Wenjie Dong; Lin Ai; Ziwei Gong; Songfang Huang; Zongsheng Li; Ehsan Hoque 001; Julia Hirschberg; Yue Zhang 004 (EMNLP (Findings), 2024)

Knowledge Conflicts for LLMs: A Survey. - Rongwu Xu; Zehan Qi; Zhijiang Guo; Cunxiang Wang; Hongru Wang 003; Yue Zhang 004; Wei Xu 039 (EMNLP, 2024)

Semformer: Transformer Language Models with Semantic Planning. - Yongjing Yin; Junran Ding; Kai Song; Yue Zhang 004 (EMNLP, 2024)

Empirical Prior for Text Autoencoders. - Yongjing Yin; Wenyang Gao; Haodong Wu; Jianhao Yan; Yue Zhang 004 (EMNLP (Findings), 2024)

LexMatcher: Dictionary-centric Data Curation for LLM-based Machine Translation. - Yongjing Yin; Jiali Zeng; Yafu Li; Fandong Meng; Yue Zhang 004 (EMNLP (Findings), 2024)

Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding. - Chong Zhang; Yi Tu; Yixi Zhao; Chenshu Yuan; Huan Chen; Yue Zhang 004; Mingxu Chai; Ya Guo; Huijia Zhu; Qi Zhang 001; Tao Gui (EMNLP, 2024)

Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature. - Guangsheng Bao; Yanbin Zhao; Zhiyang Teng; Linyi Yang; Yue Zhang 004 (ICLR, 2024)

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. - Yidong Wang; Zhuohao Yu 001; Wenjin Yao; Zhengran Zeng; Linyi Yang; Cunxiang Wang; Hao Chen 102; Chaoya Jiang; Rui Xie 003; Jindong Wang 001; Xing Xie 001; Wei Ye 004; et al. (ICLR, 2024)

Understanding In-Context Learning from Repetitions. - Jianhao Yan; Jin Xu; Chiyu Song; Chenming Wu; Yafu Li; Yue Zhang 004 (ICLR, 2024)

Supervised Knowledge Makes Large Language Models Better In-context Learners. - Linyi Yang; Shuibai Zhang; Zhuohao Yu 001; Guangsheng Bao; Yidong Wang; Jindong Wang 001; Ruochen Xu; Wei Ye 004; Xing Xie 001; Weizhu Chen; Yue Zhang 004 (ICLR, 2024)

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. - Kaijie Zhu; Jindong Wang 001; Jiaheng Zhou; Zichen Wang; Hao Chen 102; Yidong Wang; Linyi Yang; Wei Ye 004; Yue Zhang 004; Neil Gong 001; Xing Xie 001 (LAMPS@CCS, 2024)

Narrowing the Gap between Vision and Action in Navigation. - Yue Zhang 004; Parisa Kordjamshidi (ACM Multimedia, 2024)

A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution. - Bowen Ding; Qingkai Min; Shengkun Ma; Yingjie Li 008; Linyi Yang; Yue Zhang 004 (NAACL-HLT, 2024)

XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners. - Yun Luo; Zhen Yang; Fandong Meng; Yingjie Li 008; Fang Guo; Qinglin Qi; Jie Zhou 016; Yue Zhang 004 (NAACL-HLT, 2024)

Gated Slot Attention for Efficient Linear-Time Sequence Modeling. - Yu Zhang 092; Songlin Yang; Rui-Jie Zhu 003; Yue Zhang 004; Leyang Cui; Yiqiao Wang 005; Bolun Wang; Freda Shi; Bailin Wang; Wei Bi; Peng Zhou 017; Guohong Fu (NeurIPS, 2024)

Can Language Models Learn to Skip Steps? - Tengxiao Liu; Qipeng Guo; Xiangkun Hu; Cheng Jiayang; Yue Zhang 004; Xipeng Qiu; Zheng Zhang 001 (NeurIPS, 2024)

RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation. - Dongyu Ru; Lin Qiu; Xiangkun Hu; Tianhang Zhang; Peng Shi 010; Shuaichen Chang; Cheng Jiayang; Cunxiang Wang; Shichao Sun; Huanyu Li 010; Zizhao Zhang; Binjie Wang; et al. (NeurIPS, 2024)

AutoSurvey: Large Language Models Can Automatically Write Surveys. - Yidong Wang; Qi Guo; Wenjin Yao; Hongbo Zhang; Xin Zhang 097; Zhen Wu 002; Meishan Zhang; Xinyu Dai; Min Zhang 005; Qingsong Wen; Wei Ye 004; Shikun Zhang; et al. (NeurIPS, 2024)

AI-driven platform for systematic nomenclature and intelligent knowledge acquisition of natural medicinal materials. - Zijie Yang; Yongjing Yin; Chaojun Kong; Tiange Chi; Wufan Tao; Yue Zhang 004; Tian Xu (CoRR, 2024)

MRKE: The Multi-hop Reasoning Evaluation of LLMs by Knowledge Edition. - Jian Wu 037; Linyi Yang; Manabu Okumura; Yue Zhang 004 (CoRR, 2024)

Tables as Images? Exploring the Strengths and Limitations of LLMs on Multimodal Representations of Tabular Data. - Naihao Deng; Zhenjie Sun; Ruiqi He; Aman Sikka; Yulong Chen 001; Lin Ma 006; Yue Zhang 004; Rada Mihalcea (CoRR, 2024)

Potential and Challenges of Model Editing for Social Debiasing. - Jianhao Yan; Futing Wang; Yafu Li; Yue Zhang 004 (CoRR, 2024)

RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models. - Jianhao Yan; Yun Luo; Yue Zhang 004 (CoRR, 2024)

SQL-CRAFT: Text-to-SQL through Interactive Refinement and Enhanced Reasoning. - Hanchen Xia; Feng Jiang; Naihao Deng; Cunxiang Wang; Guojiang Zhao; Rada Mihalcea; Yue Zhang 004 (CoRR, 2024)

LLMs with Chain-of-Thought Are Non-Causal Reasoners. - Guangsheng Bao; Hongbo Zhang; Linyi Yang; Cunxiang Wang; Yue Zhang 004 (CoRR, 2024)

Improving Cross-lingual Representation for Semantic Retrieval with Code-switching. - Mieradilijiang Maimaiti; Yuanhang Zheng; Ji Zhang 011; Fei Huang 002; Yue Zhang 004; Wenpei Luo; Kaiyu Huang (CoRR, 2024)

Knowledge Conflicts for LLMs: A Survey. - Rongwu Xu; Zehan Qi; Cunxiang Wang; Hongru Wang 003; Yue Zhang 004; Wei Xu 039 (CoRR, 2024)

FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models. - Zhuohao Yu 001; Chang Gao; Wenjin Yao; Yidong Wang; Zhengran Zeng; Wei Ye 004; Jindong Wang 001; Yue Zhang 004; Shikun Zhang (CoRR, 2024)

Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers. - Fang Guo; Wenyu Li; Honglei Zhuang; Yun Luo; Yafu Li; Le Yan; Yue Zhang 004 (CoRR, 2024)

Prompt-Aware Adapter: Towards Learning Adaptive Visual Tokens for Multimodal Large Language Models. - Yue Zhang 004; Hehe Fan; Yi Yang 001 (CoRR, 2024)

LexMatcher: Dictionary-centric Data Collection for LLM-based Machine Translation. - Yongjing Yin; Jiali Zeng; Yafu Li; Fandong Meng; Yue Zhang 004 (CoRR, 2024)

Break the Chain: Large Language Models Can be Shortcut Reasoners. - Mengru Ding; Hanmeng Liu; Zhizhang Fu; Jian Song; Wenbo Xie; Yue Zhang 004 (CoRR, 2024)

GPT-4 vs. Human Translators: A Comprehensive Evaluation of Translation Quality Across Languages, Domains, and Expertise Levels. - Jianhao Yan; Pingchuan Yan; Yulong Chen 001; Judy Li; Xianchao Zhu; Yue Zhang 004 (CoRR, 2024)

See What LLMs Cannot Answer: A Self-Challenge Framework for Uncovering LLM Weaknesses. - Yulong Chen 001; Yang Liu 124; Jianhao Yan; Xuefeng Bai 001; Ming Zhong 005; Yinghao Yang; Ziyi Yang; Chenguang Zhu 001; Yue Zhang 004 (CoRR, 2024)

RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation. - Xuanwang Zhang; Yunze Song; Yidong Wang; Shuyun Tang; Xinfeng Li; Zhengran Zeng; Zhen Wu 002; Wei Ye 004; Wenyuan Xu 001; Yue Zhang 004; Xinyu Dai; Shikun Zhang; et al. (CoRR, 2024)

Personality Alignment of Large Language Models. - Minjun Zhu; Linyi Yang; Yue Zhang 004 (CoRR, 2024)

SPARTUN3D: Situated Spatial Understanding of 3D World in Large Language Models. - Yue Zhang 004; Zhiyang Xu; Ying Shen 001; Parisa Kordjamshidi; Lifu Huang (CoRR, 2024)

Keys to Robust Edits: from Theoretical Insights to Practical Advances. - Jianhao Yan; Futing Wang; Yun Luo; Yafu Li; Yue Zhang 004 (CoRR, 2024)

Locking Down the Finetuned LLMs Safety. - Minjun Zhu; Linyi Yang; Yifan Wei; Ningyu Zhang 001; Yue Zhang 004 (CoRR, 2024)

Building Dialogue Understanding Models for Low-resource Language Indonesian from Scratch. - Donglin Di; Weinan Zhang 003; Yue Zhang 004; Fanglin Wang (CoRR, 2024)

Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement. - Yingwei Ma; Rongyu Cao; Yongchang Cao; Yue Zhang 004; Jue Chen; Yibo Liu; Yuchen Liu; Binhua Li; Fei Huang 002; Yongbin Li (CoRR, 2024)

Direct Preference Optimization Using Sparse Feature-Level Constraints. - Qingyu Yin; Chak Tou Leong; Hongbo Zhang; Minjun Zhu; Hanqi Yan; Qiang Zhang; Yulan He 001; Wenjie Li 002; Jun Wang 121; Yue Zhang 004; Linyi Yang (CoRR, 2024)

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. - Jindong Wang 001; Xixu Hu; Wenxin Hou; Hao Chen 102; Runkai Zheng; Yidong Wang; Linyi Yang; Wei Ye 004; Haojun Huang; Xiubo Geng; Binxing Jiao; Yue Zhang 004; et al. (IEEE Data Eng. Bull., 2024)

On compositional generalization of transformer-based neural machine translation. - Yongjing Yin; Lian Fu; Yafu Li; Yue Zhang 004 (Inf. Fusion, 2024)

Cross-domain Constituency Parsing by Leveraging Heterogeneous Data. - Peiming Guo; Meishan Zhang; Yulong Chen 001; Jianling Li; Min Zhang 005; Yue Zhang 004 (J. Artif. Intell. Res., 2024)

Lost in Context? On the Sense-Wise Variance of Contextualized Word Embeddings. - Yile Wang 001; Yue Zhang 004 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Gradual Syntactic Label Replacement for Language Model Pre-Training. - Yile Wang 001; Yue Zhang 004; Peng Li 030; Yang Liu 005 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models. - Yue Zhang 004; Ziqiao Ma 001; Jialu Li 001; Yanyuan Qiao; Zun Wang; Joyce Chai; Qi Wu 001; Mohit Bansal; Parisa Kordjamshidi (Trans. Mach. Learn. Res., 2024)

A Survey on Evaluation of Large Language Models. - Yupeng Chang; Xu Wang; Jindong Wang 001; Yuan Wu 002; Linyi Yang; Kaijie Zhu; Hao Chen 102; Xiaoyuan Yi; Cunxiang Wang; Yidong Wang; Wei Ye 004; Yue Zhang 004; et al. (ACM Trans. Intell. Syst. Technol., 2024)

Contrastive Learning on LLM Back Generation Treebank for Cross-domain Constituency Parsing. - Peiming Guo; Meishan Zhang; Jianling Li; Min Zhang 005; Yue Zhang 004 (ACL (1), 2025)

Lost in Literalism: How Supervised Training Shapes Translationese in LLMs. - Yafu Li; Ronghao Zhang; Zhilin Wang; Huajian Zhang; Leyang Cui; Yongjing Yin; Tong Xiao; Yue Zhang 004 (ACL (1), 2025)

PerSphere: A Comprehensive Framework for Multi-Faceted Perspective Retrieval and Summarization. - Yun Luo; Yingjie Li 008; Xiangkun Hu; Qinglin Qi; Fang Guo; Qipeng Guo; Zheng Zhang 001; Yue Zhang 004 (ACL (1), 2025)

ExploraCoder: Advancing Code Generation for Multiple Unseen APIs via Planning and Chained Exploration. - Yunkun Wang; Yue Zhang 004; Zhen Qin 004; Chen Zhi; Binhua Li; Fei Huang 002; Yongbin Li; Shuiguang Deng (ACL (1), 2025)

Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing. - Zhilin Wang; Yafu Li; Jianhao Yan; Yu Cheng 001; Yue Zhang 004 (ACL (1), 2025)

DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process. - Minjun Zhu; Yixuan Weng; Linyi Yang; Yue Zhang 004 (ACL (1), 2025)

How Likely Do LLMs with CoT Mimic Human Reasoning? - Guangsheng Bao; Hongbo Zhang; Cunxiang Wang; Linyi Yang; Yue Zhang 004 (COLING, 2025)

Dynamics of Instruction Fine-Tuning for Chinese Large Language Models. - Chiyu Song; Zhanchao Zhou; Jianhao Yan; Yuejiao Fei; Zhenzhong Lan; Yue Zhang 004 (COLING, 2025)

SPARTUN3D: Situated Spatial Understanding of 3D World in Large Language Model. - Yue Zhang 004; Zhiyang Xu; Ying Shen 001; Parisa Kordjamshidi; Lifu Huang (ICLR, 2025)

NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens. - Cunxiang Wang; Ruoxi Ning; Boqi Pan; Tonghui Wu; Qipeng Guo; Cheng Deng; Guangsheng Bao; Xiangkun Hu; Zheng Zhang 001; Qian Wang; Yue Zhang 004 (ICLR, 2025)

ELICIT: LLM Augmentation Via External In-context Capability. - Futing Wang; Jianhao Yan; Yue Zhang 004; Tao Lin (ICLR, 2025)

CycleResearcher: Improving Automated Research via Automated Review. - Yixuan Weng; Minjun Zhu; Guangsheng Bao; Hongbo Zhang; Jindong Wang 001; Yue Zhang 004; Linyi Yang (ICLR, 2025)

MMQA: Evaluating LLMs with Multi-Table Multi-Hop Complex Questions. - Jian Wu 037; Linyi Yang; Dongyuan Li; Yuliang Ji; Manabu Okumura; Yue Zhang 004 (ICLR, 2025)

CofCA: A STEP-WISE Counterfactual Multi-hop QA benchmark. - Jian Wu 037; Linyi Yang; Zhen Wang; Manabu Okumura; Yue Zhang 004 (ICLR, 2025)

Human Simulacra: Benchmarking the Personification of Large Language Models. - Qiujie Xie; Qiming Feng; Tianqi Zhang; Qingqiu Li; Linyi Yang; Yuejie Zhang; Rui Feng 001; Liang He; Shang Gao 003; Yue Zhang 004 (ICLR, 2025)

An Empirical Analysis of Uncertainty in Large Language Model Evaluations. - Qiujie Xie; Qingqiu Li; Zhuohao Yu 001; Yuejie Zhang; Yue Zhang 004; Linyi Yang (ICLR, 2025)

Personality Alignment of Large Language Models. - Minjun Zhu; Yixuan Weng; Linyi Yang; Yue Zhang 004 (ICLR, 2025)

Alleviating Hallucinations of Large Language Models through Induced Hallucinations. - Yue Zhang 004; Leyang Cui; Wei Bi; Shuming Shi 001 (NAACL (Findings), 2025)

MCRanker: Generating Diverse Criteria On-the-Fly to Improve Pointwise LLM Rankers. - Fang Guo; Wenyu Li; Honglei Zhuang; Yun Luo; Yafu Li; Le Yan; Qi Zhu 008; Yue Zhang 004 (WSDM, 2025)

Learning 6-DoF Fine-Grained Grasp Detection Based on Part Affordance Grounding. - Yaoxian Song; Penglei Sun; Piaopiao Jin; Yi Ren; Yu Zheng 001; Zhixu Li; Xiaowen Chu 001; Yue Zhang 004; Tiefeng Li; Jason Gu (IEEE Trans Autom. Sci. Eng., 2025)

Logical Reasoning in Large Language Models: A Survey. - Hanmeng Liu; Zhizhang Fu; Mengru Ding; Ruoxi Ning; Chaoli Zhang; Xiaozhang Liu; Yue Zhang 004 (CoRR, 2025)

Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values. - Hongbo Zhang; Han Cui; Guangsheng Bao; Linyi Yang; Jun Wang 012; Yue Zhang 004 (CoRR, 2025)

ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM Reasoning. - Shulin Huang; Linyi Yang; Yan Song 003; Shuang Chen; Leyang Cui; Ziyu Wan; Qingcheng Zeng; Ying Wen 001; Kun Shao; Weinan Zhang 001; Jun Wang 012; Yue Zhang 004 (CoRR, 2025)

LAG: LLM agents for Leaderboard Auto Generation on Demanding. - Jian Wu 037; Jiayu Zhang; Dongyuan Li; Linyi Yang; Aoxiao Zhong; Renhe Jiang; Qingsong Wen; Yue Zhang 004 (CoRR, 2025)

Decoupling Content and Expression: Two-Dimensional Detection of AI-Generated Text. - Guangsheng Bao; Lihua Rong; Yanbin Zhao; Qiji Zhou; Yue Zhang 004 (CoRR, 2025)

A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond. - Xiaoye Qu; Yafu Li; Zhaochen Su; Weigao Sun; Jianhao Yan; Dongrui Liu; Ganqu Cui; Daizong Liu; Shuxian Liang; Junxian He; Peng Li 030; Wei Wei 002; et al. (CoRR, 2025)

Learning to Reason under Off-Policy Guidance. - Jianhao Yan; Yafu Li; Zican Hu; Zhi Wang; Ganqu Cui; Xiaoye Qu; Yu Cheng 001; Yue Zhang 004 (CoRR, 2025)

Evaluating the Logical Reasoning Abilities of Large Reasoning Models. - Hanmeng Liu; Yiran Ding; Zhizhang Fu; Chaoli Zhang; Xiaozhang Liu; Yue Zhang 004 (CoRR, 2025)

Uni3D-MoE: Scalable Multimodal 3D Scene Understanding via Mixture of Experts. - Yue Zhang 004; Yingzhao Jian; Hehe Fan; Yi Yang 001; Roger Zimmermann (CoRR, 2025)

EPiC: Efficient Video Camera Control Learning with Precise Anchor-Video Guidance. - Zun Wang; Jaemin Cho 001; Jialu Li 001; Han Lin; Jaehong Yoon; Yue Zhang 004; Mohit Bansal (CoRR, 2025)

Pre-Training a Graph Recurrent Network for Text Understanding. - Yile Wang 001; Linyi Yang; Zhiyang Teng; Ming Zhou 001; Yue Zhang 004 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

AI Scientists Fail Without Strong Implementation Capability. - Minjun Zhu; Qiujie Xie; Yixuan Weng; Jian Wu 037; Zhen Lin; Linyi Yang; Yue Zhang 004 (CoRR, 2025)

RewardAnything: Generalizable Principle-Following Reward Models. - Zhuohao Yu 001; Jiali Zeng; Weizheng Gu; Yidong Wang; Jindong Wang 001; Fandong Meng; Jie Zhou 016; Yue Zhang 004; Shikun Zhang; Wei Ye 004 (CoRR, 2025)

Universal constituency treebanking and parsing: A pilot study. - Jianling Li; Meishan Zhang; Jianrong Wang; Min Zhang 005; Yue Zhang 004 (Comput. Speech Lang., 2026)