Extraction of Translation Unit from Chinese-English Parallel Corpora. - Baobao Chang; Pernilla Danielsson; Wolfgang Teubert (SIGHAN@COLING, 2002)

Chinese Word Segmentation at Peking University. - Huiming Duan; Xiaojing Bai; Baobao Chang; Shiwen Yu (SIGHAN, 2003)

The Markup Guidelines for the Chinese-English Parallel Corpus of Peking University. - Baobao Chang; Xiaojing Bai (J. Chin. Lang. Comput., 2003)

Specification for Corpus Processing at Peking University: Word Segmentation, POS Tagging and Phonetic Notation. - Shiwen Yu; Huiming Duan; Bin Swen; Baobao Chang (J. Chin. Lang. Comput., 2003)

Chinese-English Parallel Corpus Construction and its Application. - Baobao Chang (PACLIC, 2004)

Extracting Terminologically Relevant Collocations in the Translation of Chinese Monograph. - Byeong Kwu Kang; Baobao Chang; Yi-Rong Chen; Shiwen Yu (IJCNLP, 2005)

Improving Chinese Semantic Role Classification with Hierarchical Feature Selection Strategy. - Weiwei Ding; Baobao Chang (EMNLP, 2008)

Bootstrapping word alignment by automatically generated bilingual dictionary. - Danqing Zhu; Baobao Chang (NLPKE, 2008)

Fast Semantic Role Labeling for Chinese Based on Semantic Chunking. - Weiwei Ding; Baobao Chang (ICCPOL, 2009)

Applying tree kernel to Chinese syntactic parsing reranking. - Xiaodong Zheng; Liang Chen 024; Baobao Chang (NLPKE, 2009)

Word Based Chinese Semantic Role Labeling with Semantic Chunking. - Weiwei Ding; Baobao Chang (Int. J. Comput. Process. Orient. Lang., 2009)

Chinese word segmentation model using bootstrapping. - Baobao Chang; Mairgup Mansur (CIPS-SIGHAN, 2010)

Enhancing Domain Portability of Chinese Segmentation Model Using Chi-Square Statistics and Bootstrapping. - Baobao Chang; Dongxu Han (EMNLP, 2010)

Training MT Model Using Structural SVM. - Tiansang Du; Baobao Chang (IALP, 2010)

A Method of Automatic Translation of Words of Multiple Affixes In Scientific Literature. - Lei Wang; Baobao Chang; Janet Harkness (Int. J. Asian Lang. Process., 2011)

Update Summarization using a Multi-level Hierarchical Dirichlet Process Model. - Jiwei Li; Sujian Li; Xun Wang; Ye Tian; Baobao Chang (COLING, 2012)

A Maximum Entropy Approach to Chinese Spelling Check. - Dongxu Han; Baobao Chang (SIGHAN@IJCNLP, 2013)

Exploiting collaborative filtering techniques for automatic assessment of student free-text responses. - Tao Ge 001; Zhifang Sui; Baobao Chang (CIKM, 2013)

A Refined HDP-Based Model for Unsupervised Chinese Word Segmentation. - Wenzhe Pei; Dongxu Han; Baobao Chang (CCL, 2013)

Event-Based Time Label Propagation for Automatic Dating of News Articles. - Tao Ge 001; Baobao Chang; Sujian Li; Zhifang Sui (EMNLP, 2013)

Feature-based Neural Language Model and Chinese Word Segmentation. - Mairgup Mansur; Wenzhe Pei; Baobao Chang (IJCNLP, 2013)

A novel topic model for automatic term extraction. - Sujian Li; Jiwei Li; Tao Song; Wenjie Li 002; Baobao Chang (SIGIR, 2013)

Max-Margin Tensor Neural Network for Chinese Word Segmentation. - Wenzhe Pei; Tao Ge 001; Baobao Chang (ACL (1), 2014)

Inducing Word Sense with Automatically Learned Hidden Concepts. - Baobao Chang; Wenzhe Pei; Miaohong Chen (COLING, 2014)

A Joint Model for Unsupervised Chinese Word Segmentation. - Miaohong Chen; Baobao Chang; Wenzhe Pei (EMNLP, 2014)

SSMT: A Machine Translation Evaluation View To Paragraph-to-Sentence Semantic Similarity. - Pingping Huang; Baobao Chang (SemEval@COLING, 2014)

One Tense per Scene: Predicting Tense in Chinese Conversations. - Tao Ge 001; Heng Ji 001; Baobao Chang; Zhifang Sui (ACL (2), 2015)

Bring you to the past: Automatic Generation of Topically Relevant Event Chronicles. - Tao Ge 001; Wenzhe Pei; Heng Ji 001; Sujian Li; Baobao Chang; Zhifang Sui (ACL (1), 2015)

An Effective Neural Network Model for Graph-based Dependency Parsing. - Wenzhe Pei; Tao Ge 001; Baobao Chang (ACL (1), 2015)

Distinguishing Specific and Daily Topics. - Tao Ge 001; Wenzhe Pei; Baobao Chang; Zhifang Sui (APWeb, 2015)

A Neural Network Based Translation Constrained Reranking Model for Chinese Dependency Parsing. - Miaohong Chen; Baobao Chang; Yang Liu 124 (CCL, 2015)

Graph-Based Dependency Parsing with Recursive Neural Network. - Pingping Huang; Baobao Chang (CCL, 2015)

Semantic Role Labeling Using Recursive Neural Network. - Tianshi Li 002; Baobao Chang (CCL, 2015)

Distantly Supervised Neural Network Model for Relation Extraction. - Zhen Wang; Baobao Chang; Zhifang Sui (CCL, 2015)

Multi-label Text Categorization with Joint Learning Predictions-as-Features Method. - Li Li; Houfeng Wang; Xu Sun 001; Baobao Chang; Shi Zhao; Lei Sha (EMNLP, 2015)

Recognizing Textual Entailment Using Probabilistic Inference. - Lei Sha; Sujian Li; Baobao Chang; Zhifang Sui; Tingsong Jiang (EMNLP, 2015)

Chinese Semantic Role Labeling with Bidirectional Recurrent Neural Networks. - Zhen Wang; Tingsong Jiang; Baobao Chang; Zhifang Sui (EMNLP, 2015)

ERSOM: A Structural Ontology Matching Approach Using Automatically Learned Entity Representation. - Chuncheng Xiang; Tingsong Jiang; Baobao Chang; Zhifang Sui (EMNLP, 2015)

An Ontology Matching Approach Based on Affinity-Preserving Random Walks. - Chuncheng Xiang; Baobao Chang; Zhifang Sui (IJCAI, 2015)

RBPB: Regularization-Based Pattern Balancing Method for Event Extraction. - Lei Sha; Jing Liu 022; Chin-Yew Lin; Sujian Li; Baobao Chang; Zhifang Sui (ACL (1), 2016)

Graph-based Dependency Parsing with Bidirectional LSTM. - Wenhui Wang 003; Baobao Chang (ACL (1), 2016)

Improving Chinese Semantic Role Labeling with English Proposition Bank. - Tianshi Li 002; Qi Li; Baobao Chang (CCL, 2016)

Recognizing Textual Entailment via Multi-task Knowledge Assisted LSTM. - Lei Sha; Sujian Li; Baobao Chang; Zhifang Sui (CCL, 2016)

Improved Graph-Based Dependency Parsing via Hierarchical LSTM Networks. - Wenhui Wang 003; Baobao Chang (CCL, 2016)

Event Detection with Burst Information Networks. - Tao Ge 001; Lei Cui 001; Baobao Chang; Zhifang Sui; Ming Zhou 001 (COLING, 2016)

Towards Time-Aware Knowledge Graph Completion. - Tingsong Jiang; Tianyu Liu 001; Tao Ge 001; Lei Sha; Baobao Chang; Sujian Li; Zhifang Sui (COLING, 2016)

Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition. - Lei Sha; Baobao Chang; Zhifang Sui; Sujian Li (COLING, 2016)

News Stream Summarization using Burst Information Networks. - Tao Ge 001; Lei Cui 001; Baobao Chang; Sujian Li; Ming Zhou 001; Zhifang Sui (EMNLP, 2016)

Encoding Temporal Information for Time-Aware Link Prediction. - Tingsong Jiang; Tianyu Liu 001; Tao Ge 001; Lei Sha; Sujian Li; Baobao Chang; Zhifang Sui (EMNLP, 2016)

Discourse Parsing with Attention-based Hierarchical Neural Networks. - Qi Li; Tianshi Li 002; Baobao Chang (EMNLP, 2016)

Capturing Argument Relationship for Chinese Semantic Role Labeling. - Lei Sha; Sujian Li; Baobao Chang; Zhifang Sui; Tingsong Jiang (EMNLP, 2016)

Joint Learning Templates and Slots for Event Schema Induction. - Lei Sha; Sujian Li; Baobao Chang; Zhifang Sui (HLT-NAACL, 2016)

Discovering Concept-Level Event Associations from a Text Stream. - Tao Ge 001; Lei Cui 001; Heng Ji 001; Baobao Chang; Zhifang Sui (NLPCC/ICCPOL, 2016)

Learning Word Sense Embeddings from Word Sense Definitions. - Qi Li; Tianshi Li 002; Baobao Chang (NLPCC/ICCPOL, 2016)

Aligning Coordinated Text Streams through Burst Information Network Construction and Decipherment. - Tao Ge 001; Qing Dou; Xiaoman Pan; Heng Ji 001; Lei Cui 001; Baobao Chang; Zhifang Sui; Ming Zhou 001 (CoRR, 2016)

Multi-phase Word Sense Embedding Learning Using a Corpus and a Lexical Ontology. - Qi Li; Tianshi Li 002; Baobao Chang (CoRR, 2016)

Gated Self-Matching Networks for Reading Comprehension and Question Answering. - Wenhui Wang 003; Nan Yang 002; Furu Wei; Baobao Chang; Ming Zhou 001 (ACL (1), 2017)

A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data. - Qiaolin Xia; Lei Sha; Baobao Chang; Zhifang Sui (ACL (1), 2017)

A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction. - Tianyu Liu 001; Kexiang Wang; Baobao Chang; Zhifang Sui (EMNLP, 2017)

Syntax Aware LSTM model for Semantic Role Labeling. - Feng Qian; Lei Sha; Baobao Chang; Luchen Liu; Ming Zhang 004 (SPNLP@EMNLP, 2017)

Affinity-Preserving Random Walk for Multi-Document Summarization. - Kexiang Wang; Tianyu Liu 001; Zhifang Sui; Baobao Chang (EMNLP, 2017)

Large-Scale Simple Question Generation by Template-Based Seq2seq Learning. - Tianyu Liu 001; Bingzhen Wei; Baobao Chang; Zhifang Sui (NLPCC, 2017)

Syntax Aware LSTM Model for Chinese Semantic Role Labeling. - Feng Qian; Lei Sha; Baobao Chang; Luchen Liu; Ming Zhang 004 (CoRR, 2017)

Table-to-Text Generation by Structure-Aware Seq2seq Learning. - Tianyu Liu 001; Kexiang Wang; Lei Sha; Baobao Chang; Zhifang Sui (AAAI, 2018)

Order-Planning Neural Text Generation From Structured Data. - Lei Sha; Lili Mou; Tianyu Liu 001; Pascal Poupart; Sujian Li; Baobao Chang; Zhifang Sui (AAAI, 2018)

Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction. - Lei Sha; Feng Qian; Baobao Chang; Zhifang Sui (AAAI, 2018)

A Multi-View Fusion Neural Network for Answer Selection. - Lei Sha; Xiaodong Zhang 022; Feng Qian; Baobao Chang; Zhifang Sui (AAAI, 2018)

Incorporating Glosses into Neural Word Sense Disambiguation. - Fuli Luo; Tianyu Liu 001; Qiaolin Xia; Baobao Chang; Zhifang Sui (ACL (1), 2018)

A Research on Construction of Knowledge Fusion Network in Chinese and English Languages. - Odmaa Byambasuren; Zhifang Sui; Baobao Chang (CLSW, 2018)

Fine-grained Coordinated Cross-lingual Text Stream Alignment for Endless Language Knowledge Acquisition. - Tao Ge 001; Qing Dou; Heng Ji 001; Lei Cui 001; Baobao Chang; Zhifang Sui; Furu Wei; Ming Zhou 001 (EMNLP, 2018)

Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention. - Fuli Luo; Tianyu Liu 001; Zexue He; Qiaolin Xia; Zhifang Sui; Baobao Chang (EMNLP, 2018)

Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data. - Wenhui Wang 003; Baobao Chang; Mairgup Mansur (EMNLP, 2018)

EventWiki: A Knowledge Base of Major Events. - Tao Ge 001; Lei Cui 001; Baobao Chang; Zhifang Sui; Furu Wei; Ming Zhou 001 (LREC, 2018)

SeRI: A Dataset for Sub-event Relation Inference from an Encyclopedia. - Tao Ge 001; Lei Cui 001; Baobao Chang; Zhifang Sui; Furu Wei; Ming Zhou 001 (NLPCC (2), 2018)

Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables. - Tianyu Liu 001; Fuli Luo; Qiaolin Xia; Shuming Ma; Baobao Chang; Zhifang Sui (AAAI, 2019)

Towards Comprehensive Description Generation from Factual Attribute-value Tables. - Tianyu Liu 001; Fuli Luo; Pengcheng Yang; Wei Wu 044; Baobao Chang; Zhifang Sui (ACL (1), 2019)

Learning to Control the Fine-grained Sentiment for Story Ending Generation. - Fuli Luo; Damai Dai; Pengcheng Yang; Tianyu Liu 001; Baobao Chang; Zhifang Sui; Xu Sun 001 (ACL (1), 2019)

Towards Fine-grained Text Sentiment Transfer. - Fuli Luo; Peng Li 030; Pengcheng Yang; Jie Zhou 016; Yutong Tan; Baobao Chang; Zhifang Sui; Xu Sun 001 (ACL (1), 2019)

Pun-GAN: Generative Adversarial Network for Pun Generation. - Fuli Luo; Shunyao Li; Pengcheng Yang; Lei Li 039; Baobao Chang; Zhifang Sui; Xu Sun 001 (EMNLP/IJCNLP (1), 2019)

A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer. - Fuli Luo; Peng Li 030; Jie Zhou 016; Pengcheng Yang; Baobao Chang; Xu Sun 001; Zhifang Sui (IJCAI, 2019)

A Soft Label Strategy for Target-Level Sentiment Classification. - Da Yin; Xiao Liu 032; Xiuyu Wu; Baobao Chang (WASSA@NAACL-HLT, 2019)

Interactive Neural Network: Leveraging Part-of-Speech Window for Aspect Term Extraction (Student Abstract). - Da Yin; Xiuyu Wu; Baobao Chang (AAAI, 2020)

Soap: Soaking Capacity Optimization for Multi-Document Summarization. - Kexiang Wang; Baobao Chang; Zhifang Sui (CIKM, 2020)

Building a Pediatric Medical Corpus: Word Segmentation and Named Entity Annotation. - Hongying Zan; Wenxin Li; Kunli Zhang; Yajuan Ye; Baobao Chang; Zhifang Sui (CLSW, 2020)

An Anchor-Based Automatic Evaluation Metric for Document Summarization. - Kexiang Wang; Tianyu Liu 001; Baobao Chang; Zhifang Sui (COLING, 2020)

An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference. - Tianyu Liu 001; Xin Zheng; Xiaoan Ding; Baobao Chang; Zhifang Sui (CoNLL, 2020)

Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference. - Xiaoan Ding; Tianyu Liu 001; Baobao Chang; Zhifang Sui; Kevin Gimpel (EMNLP (1), 2020)

A Spectral Method for Unsupervised Multi-Document Summarization. - Kexiang Wang; Baobao Chang; Zhifang Sui (EMNLP (1), 2020)

Double Graph Based Reasoning for Document-level Relation Extraction. - Shuang Zeng; Runxin Xu; Baobao Chang; Lei Li 005 (EMNLP (1), 2020)

HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference. - Tianyu Liu 001; Xin Zheng; Baobao Chang; Zhifang Sui (LREC, 2020)

Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions. - Damai Dai; Hua Zheng; Fuli Luo; Pengcheng Yang; Baobao Chang; Zhifang Sui (CoRR, 2020)

Generating Math Word Problems from Equations with Topic Controlling and Commonsense Enforcement. - Tianyang Cao; Shuang Zeng; Songge Zhao; Mairgup Mansur; Baobao Chang (CoRR, 2020)

Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View. - Tianyu Liu 001; Xin Zheng; Baobao Chang; Zhifang Sui (AAAI, 2021)

Joint Multi-Decoder Framework with Hierarchical Pointer Network for Frame Semantic Parsing. - Xudong Chen; Ce Zheng; Baobao Chang (ACL/IJCNLP (Findings), 2021)

Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker. - Runxin Xu; Tianyu Liu 001; Lei Li 005; Baobao Chang (ACL/IJCNLP (1), 2021)

SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction. - Shuang Zeng; Yuting Wu; Baobao Chang (ACL/IJCNLP (Findings), 2021)

Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. - Peiyi Wang; Runxin Xu; Tianyu Liu 001; Damai Dai; Baobao Chang; Zhifang Sui (CIKM, 2021)

Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning. - Runxin Xu; Fuli Luo; Zhiyuan Zhang; Chuanqi Tan; Baobao Chang; Songfang Huang; Fei Huang 002 (EMNLP (1), 2021)

Generating Math Word Problems from Equations with Topic Consistency Maintaining and Commonsense Enforcement. - Tianyang Cao; Shuang Zeng; Songge Zhao; Mairgup Mansur; Baobao Chang (ICANN (3), 2021)

Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation. - Hua Zheng; Damai Dai; Lei Li 039; Tianyu Liu 001; Zhifang Sui; Baobao Chang; Yang Liu 124 (NAACL-HLT, 2021)

Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions. - Damai Dai; Hua Zheng; Fuli Luo; Pengcheng Yang; Tianyu Liu 001; Zhifang Sui; Baobao Chang (RepL4NLP@ACL-IJCNLP, 2021)

Incorporating Connections Beyond Knowledge Embeddings: A Plug-and-Play Module to Enhance Commonsense Reasoning in Machine Reading Comprehension. - Damai Dai; Hua Zheng; Zhifang Sui; Baobao Chang (CoRR, 2021)

Problems and Countermeasures in Natural Language Processing Evaluation. - Qingxiu Dong; Zhifang Sui; Weidong Zhan; Baobao Chang (CoRR, 2021)

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. - Ningyu Zhang 001; Zhen Bi; Xiaozhuan Liang; Lei Li 040; Xiang Chen 016; Shumin Deng; Luoqiu Li; Hongbin Ye; Xin Shang; Kangping Yin; Chuanqi Tan; Jian Xu; et al. (CoRR, 2021)

Explicit Interaction Network for Aspect Sentiment Triplet Extraction. - Peiyi Wang; Lianzhe Huang; Tianyu Liu 001; Damai Dai; Runxin Xu; Houfeng Wang; Baobao Chang; Zhifang Sui (CoRR, 2021)

Hierarchical Curriculum Learning for AMR Parsing. - Peiyi Wang; Liang Chen 024; Tianyu Liu 001; Baobao Chang; Zhifang Sui (CoRR, 2021)

From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression. - Runxin Xu; Fuli Luo; Chengyu Wang 001; Baobao Chang; Jun Huang 007; Songfang Huang; Fei Huang 002 (AAAI, 2022)

Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation. - Liang Chen 024; Runxin Xu; Baobao Chang (ACL (2), 2022)

StableMoE: Stable Routing Strategy for Mixture of Experts. - Damai Dai; Li Dong 004; Shuming Ma; Bo Zheng 010; Zhifang Sui; Baobao Chang; Furu Wei (ACL (1), 2022)

Knowledge Neurons in Pretrained Transformers. - Damai Dai; Li Dong 004; Yaru Hao; Zhifang Sui; Baobao Chang; Furu Wei (ACL (1), 2022)

Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues. - Qingxiu Dong; Ziwei Qin; Heming Xia; Tian Feng; Shoujie Tong; Haoran Meng; Lin Xu; Zhongyu Wei; Weidong Zhan; Baobao Chang; Sujian Li; Tianyu Liu 001; et al. (ACL (1), 2022)

Hierarchical Curriculum Learning for AMR Parsing. - Peiyi Wang; Liang Chen 024; Tianyu Liu 001; Damai Dai; Yunbo Cao; Baobao Chang; Zhifang Sui (ACL (2), 2022)

S$^4$-Tuning: A Simple Cross-lingual Sub-network Tuning Method. - Runxin Xu; Fuli Luo; Baobao Chang; Songfang Huang; Fei Huang 002 (ACL (2), 2022)

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. - Ningyu Zhang 001; Mosha Chen; Zhen Bi; Xiaozhuan Liang; Lei Li 040; Xin Shang; Kangping Yin; Chuanqi Tan; Jian Xu; Fei Huang 002; Luo Si; Yuan Ni; et al. (ACL (1), 2022)

DISK: Domain-constrained Instance Sketch for Math Word Problem Generation. - Tianyang Cao; Shuang Zeng; Xiaodan Xu; Mairgup Mansur; Baobao Chang (COLING, 2022)

SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER. - Shuzheng Si; Shuang Zeng; Jiaxing Lin; Baobao Chang (COLING, 2022)

Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. - Shoujie Tong; Qingxiu Dong; Damai Dai; Yifan Song 002; Tianyu Liu 001; Baobao Chang; Zhifang Sui (IJCAI, 2022)

CLINER: Clinical Interrogation Named Entity Recognition. - Jing Ren; Tianyang Cao; Yifan Yang 008; Yunyan Zhang; Xi Chen 003; Tian Feng; Baobao Chang; Zhifang Sui; Ruihui Zhao; Yefeng Zheng 001; Bang Liu (KSEM (2), 2022)

ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. - Liang Chen 024; Peiyi Wang; Runxin Xu; Tianyu Liu 001; Zhifang Sui; Baobao Chang (NAACL-HLT (Findings), 2022)

Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomplete Utterance Rewriting. - Shuzheng Si; Shuang Zeng; Baobao Chang (NAACL-HLT, 2022)

An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. - Peiyi Wang; Runxin Xu; Tianyu Liu 001; Qingyu Zhou; Yunbo Cao; Baobao Chang; Zhifang Sui (NAACL-HLT, 2022)

A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. - Runxin Xu; Peiyi Wang; Tianyu Liu 001; Shuang Zeng; Baobao Chang; Zhifang Sui (NAACL-HLT, 2022)

A Double-Graph Based Framework for Frame Semantic Parsing. - Ce Zheng; Xudong Chen; Runxin Xu; Baobao Chang (NAACL-HLT, 2022)

Plug-and-Play Module for Commonsense Reasoning in Machine Reading Comprehension. - Damai Dai; Hua Zheng; Zhifang Sui; Baobao Chang (NLPCC (2), 2022)

Mixture of Experts for Biomedical Question Answering. - Damai Dai; Wenbin Jiang 002; Jiyuan Zhang; Weihua Peng; Yajuan Lyu; Zhifang Sui; Baobao Chang; Yong Zhu 004 (CoRR, 2022)

A Two-Stage Method for Chinese AMR Parsing. - Liang Chen 024; Bofei Gao; Baobao Chang (CoRR, 2022)

Query Your Model with Definitions in FrameNet: An Effective Method for Frame Semantic Role Labeling. - Ce Zheng; Yiming Wang; Baobao Chang (AAAI, 2023)

On the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation. - Liang Chen 024; Shuming Ma; Dongdong Zhang 001; Furu Wei; Baobao Chang (ACL (Findings), 2023)

SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition. - Shuzheng Si; Zefan Cai; Shuang Zeng; Guoqiang Feng; Jiaxing Lin; Baobao Chang (ACL (Findings), 2023)

Coarse-to-Fine Dual Encoders are Better Frame Identification Learners. - Kaikai An; Ce Zheng; Bofei Gao; Haozhe Zhao; Baobao Chang (EMNLP (Findings), 2023)

Guiding AMR Parsing with Reverse Graph Linearization. - Bofei Gao; Liang Chen 024; Peiyi Wang; Zhifang Sui; Baobao Chang (EMNLP (Findings), 2023)

Can We Edit Factual Knowledge by In-Context Learning? - Ce Zheng; Lei Li 039; Qingxiu Dong; Yuxuan Fan; Zhiyong Wu 011; Jingjing Xu 001; Baobao Chang (EMNLP, 2023)

TABLEIE: Capturing the Interactions Among Sub-Tasks in Information Extraction via Double Tables. - Jiaxing Lin; Runxin Xu; Baobao Chang (ICASSP, 2023)

On the Pareto Front of Multilingual Neural Machine Translation. - Liang Chen 024; Shuming Ma; Dongdong Zhang 001; Furu Wei; Baobao Chang (NeurIPS, 2023)

Mixture-of-Experts for Biomedical Question Answering. - Damai Dai; Wenbin Jiang 002; Jiyuan Zhang; Yajuan Lyu; Zhifang Sui; Baobao Chang (NLPCC (1), 2023)

Coarse-to-Fine Entity Representations for Document-Level Relation Extraction. - Damai Dai; Jing Ren; Shuang Zeng; Baobao Chang; Zhifang Sui (NLPCC (2), 2023)

A Survey for In-context Learning. - Qingxiu Dong; Lei Li 039; Damai Dai; Ce Zheng; Zhiyong Wu 011; Baobao Chang; Xu Sun 001; Jingjing Xu 001; Lei Li 005; Zhifang Sui (CoRR, 2023)

DiffCap: Exploring Continuous Diffusion on Image Captioning. - Yufeng He; Zefan Cai; Xu Gan; Baobao Chang (CoRR, 2023)

DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade. - Zefan Cai; Xin Zheng; Tianyu Liu 001; Xu Wang; Haoran Meng; Jiaqi Han; Gang Yuan; Binghuai Lin; Baobao Chang; Yunbo Cao (CoRR, 2023)

Human-in-the-Loop through Chain-of-Thought. - Zefan Cai; Baobao Chang; Wenjuan Han (CoRR, 2023)

Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond. - Liang Chen 024; Yichi Zhang; Shuhuai Ren; Haozhe Zhao; Zefan Cai; Yuchi Wang; Peiyi Wang; Tianyu Liu 001; Baobao Chang (CoRR, 2023)

Distantly-Supervised Named Entity Recognition with Uncertainty-aware Teacher Learning and Student-student Collaborative Learning. - Helan Hu; Shuzheng Si; Haozhe Zhao; Shuang Zeng; Kaikai An; Zefan Cai; Baobao Chang (CoRR, 2023)

ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks. - Yuliang Liu; Xiangru Tang; Zefan Cai; Junjie Lu; Yichi Zhang; Yanjun Shao; Zexuan Deng; Helan Hu; Zengxian Yang; Kaikai An; Ruijun Huang; Shuzheng Si; et al. (CoRR, 2023)

Local-to-Global Framework for Multi-target Frame Identification. - Xudong Chen; Ce Zheng; Baobao Chang; Ru Li 001 (World Sci. Annu. Rev. Artif. Intell., 2023)

A Span-based Target-aware Relation Model for Frame-semantic Parsing. - Xuefeng Su; Ru Li 001; Xiaoli Li 001; Baobao Chang; Zhiwei Hu; Xiaoqi Han; Zhichao Yan (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Improving Event Definition Following For Zero-Shot Event Detection. - Zefan Cai; Po-Nien Kung; Ashima Suvarna; Mingyu Derek Ma; Hritik Bansal; Baobao Chang; P. Jeffrey Brantingham; Wei Wang 010; Nanyun Peng 001 (ACL (1), 2024)

PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain. - Liang Chen 024; Yichi Zhang; Shuhuai Ren; Haozhe Zhao; Zefan Cai; Yuchi Wang; Peiyi Wang; Xiangdi Meng; Tianyu Liu 001; Baobao Chang (ACL (Findings), 2024)

Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning. - Shuzheng Si; Helan Hu; Haozhe Zhao; Shuang Zeng; Kaikai An; Zefan Cai; Baobao Chang (ACL (Findings), 2024)

An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models. - Liang Chen 024; Haozhe Zhao; Tianyu Liu 001; Shuai Bai; Junyang Lin; Chang Zhou; Baobao Chang (ECCV (81), 2024)

A Survey on In-context Learning. - Qingxiu Dong; Lei Li 039; Damai Dai; Ce Zheng; Jingyuan Ma; Rui Li 094; Heming Xia; Jingjing Xu 001; Zhiyong Wu 011; Baobao Chang; Xu Sun 001; Lei Li 005; et al. (EMNLP, 2024)

MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning. - Haozhe Zhao; Zefan Cai; Shuzheng Si; Xiaojian Ma 001; Kaikai An; Liang Chen 024; Zixuan Liu 001; Sheng Wang 012; Wenjuan Han; Baobao Chang (ICLR, 2024)

VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness. - Rongyu Zhang; Zefan Cai; Huanrui Yang; Zidong Liu; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Baobao Chang; Yuan Du; Li Du; Shanghang Zhang (ACM Multimedia, 2024)

DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade. - Zefan Cai; Xin Zheng; Tianyu Liu 001; Haoran Meng; Jiaqi Han; Gang Yuan; Binghuai Lin; Baobao Chang; Yunbo Cao (NAACL-HLT, 2024)

Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation. - Haozhe Zhao; Zefan Cai; Shuzheng Si; Liang Chen 024; Yufeng He; Kaikai An; Baobao Chang (NAACL-HLT, 2024)

Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models. - Bowen Ping; Shuo Wang 013; Hanqing Wang 003; Xu Han 007; Yuzhuang Xu; Yukun Yan; Yun Chen 007; Baobao Chang; Zhiyuan Liu 001; Maosong Sun 001 (NeurIPS, 2024)

UltraEdit: Instruction-based Fine-Grained Image Editing at Scale. - Haozhe Zhao; Xiaojian (Shawn) Ma; Liang Chen 024; Shuzheng Si; Rujie Wu; Kaikai An; Peiyu Yu; Minjia Zhang; Qing Li 003; Baobao Chang (NeurIPS, 2024)

VeCAF: VLM-empowered Collaborative Active Finetuning with Training Objective Awareness. - Rongyu Zhang; Zefan Cai; Huanrui Yang; Zidong Liu; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Baobao Chang; Yuan Du; Li Du; Shanghang Zhang (CoRR, 2024)

PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling. - Zefan Cai; Yichi Zhang; Bofei Gao; Yuliang Liu; Tianyu Liu 001; Keming Lu; Wayne Xiong; Yue Dong 002; Baobao Chang; Junjie Hu 001; Wen Xiao (CoRR, 2024)

LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback. - Bofei Gao; Zefan Cai; Runxin Xu; Peiyi Wang; Ce Zheng; Runji Lin; Keming Lu; Junyang Lin; Chang Zhou; Wen Xiao; Junjie Hu 001; Tianyu Liu 001; et al. (CoRR, 2024)

Towards a Unified View of Preference Learning for Large Language Models: A Survey. - Bofei Gao; Feifan Song 001; Yibo Miao; Zefan Cai; Zhe Yang 013; Liang Chen 024; Helan Hu; Runxin Xu; Qingxiu Dong; Ce Zheng; Wen Xiao; Ge Zhang 009; et al. (CoRR, 2024)

Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints. - Kaikai An; Shuzheng Si; Helan Hu; Haozhe Zhao; Yuchi Wang; Qingyan Guo; Baobao Chang (CoRR, 2024)

Selecting Influential Samples for Long Context Alignment via Homologous Models' Guidance and Contextual Awareness Measurement. - Shuzheng Si; Haozhe Zhao; Gang Chen 039; Yunshui Li; Kangyang Luo; Chuancheng Lv; Kaikai An; Fanchao Qi; Baobao Chang; Maosong Sun 001 (CoRR, 2024)

Looking Beyond Text: Reducing Language bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance. - Haozhe Zhao; Shuzheng Si; Liang Chen 024; Yichi Zhang; Maosong Sun 001; Mingjia Zhang; Baobao Chang (CoRR, 2024)

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey. - Liang Chen 024; Zekun Wang; Shuhuai Ren; Lei Li 039; Haozhe Zhao; Yunshui Li; Zefan Cai; Hongcheng Guo; Lei Zhang 201; Yizhe Xiong; Yichi Zhang; Ruoyu Wu; et al. (CoRR, 2024)

LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback. - Bofei Gao; Zefan Cai; Runxin Xu; Peiyi Wang; Ce Zheng; Runji Lin; Keming Lu; Dayiheng Liu; Chang Zhou; Wen Xiao; Tianyu Liu 001; Baobao Chang (ACL (Findings), 2025)

Towards A Better Initial Policy Model For Scalable Long-CoT Reinforcement Learning. - Bofei Gao; Yejie Wang; Yibo Miao; Ruoyu Wu; Feifan Song 001; Longhui Yu; Tianyu Liu 001; Baobao Chang (ACL (Findings), 2025)

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering. - Shuzheng Si; Haozhe Zhao; Gang Chen 039; Cheng Gao; Yuzhuo Bai; Zhitong Wang; Kaikai An; Kangyang Luo; Chen Qian; Fanchao Qi; Baobao Chang; Maosong Sun 001 (ACL (1), 2025)

A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation. - Liang Chen 024; Sinan Tan; Zefan Cai; Weichu Xie; Haozhe Zhao; Yichi Zhang; Junyang Lin; Jinze Bai; Tianyu Liu 001; Baobao Chang (ICLR, 2025)

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models. - Bofei Gao; Feifan Song 001; Zhe Yang 013; Zefan Cai; Yibo Miao; Qingxiu Dong; Lei Li 039; Chenghao Ma; Liang Chen 024; Runxin Xu; Zhengyang Tang; Benyou Wang; et al. (ICLR, 2025)

MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation. - Jinsheng Huang; Liang Chen 024; Taian Guo; Fu Zeng; Yusheng Zhao; Bohan Wu; Ye Yuan 016; Haozhe Zhao; Zhihui Guo; Yichi Zhang; Jingyang Yuan; Wei Ju 001; et al. (NAACL (Long Papers), 2025)

UltraIF: Advancing Instruction Following from the Wild. - Kaikai An; Li Sheng; Ganqu Cui; Shuzheng Si; Ning Ding; Yu Cheng; Baobao Chang (CoRR, 2025)

Multimodal Representation Alignment for Image Generation: Text-Image Interleaved Control Is Easier Than You Think. - Liang Chen 024; Shuai Bai; Wenhao Chai; Weichu Xie; Haozhe Zhao; Leon Vinci; Junyang Lin; Baobao Chang (CoRR, 2025)

G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning. - Liang Chen 024; Hongcheng Gao; Tianyu Liu 001; Zhiqi Huang; Flood Sung; Xinyu Zhou; Yuxin Wu; Baobao Chang (CoRR, 2025)

Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning. - Shuzheng Si; Haozhe Zhao; Cheng Gao; Yuzhuo Bai; Zhitong Wang; Bofei Gao; Kangyang Luo; Wenhao Li 003; Yufei Huang 008; Gang Chen 039; Fanchao Qi; Minjia Zhang; et al. (CoRR, 2025)