A Semantic Search Approach by Graph Matching with Negations and Inferences. - Kewei Tu; Jing Lu; Haiping Zhu; Guowei Liu; Yong Yu 001 (ICCS, 2003)

ORIENT: Integrate Ontology Engineering into Industry Tooling Environment. - Lei Zhang 007; Yong Yu 001; Jing Lu; Chenxi Lin; Kewei Tu; MingChuan Guo; Zhuo Zhang; Guo Tong Xie; Zhong Su; Yue Pan (ISWC, 2004)

CMC: Combining Multiple Schema-Matching Strategies Based on Credibility Prediction. - Kewei Tu; Yong Yu 001 (DASFAA, 2005)

Towards Imaging Large-Scale Ontologies for Quick Understanding and Analysis. - Kewei Tu; Miao Xiong; Lei Zhang 007; Haiping Zhu; Jie Zhang; Yong Yu 001 (ISWC, 2005)

An Approach to RDF(S) Query, Manipulation and Inference on Databases. - Jing Lu; Yong Yu 001; Kewei Tu; Chenxi Lin; Lei Zhang 007 (WAIM, 2005)

Unsupervised Learning of Probabilistic Context-Free Grammar using Iterative Biclustering. - Kewei Tu; Vasant G. Honavar (ICGI, 2008)

On the Utility of Curricula in Unsupervised Learning of Probabilistic Grammars. - Kewei Tu; Vasant G. Honavar (IJCAI, 2011)

Exemplar-based Robust Coherent Biclustering. - Kewei Tu; Xixiu Ouyang; Dingyi Han; Vasant G. Honavar (SDM, 2011)

Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars. - Kewei Tu; Vasant G. Honavar (EMNLP-CoNLL, 2012)

Unsupervised Structure Learning of Stochastic And-Or Grammars. - Kewei Tu; Maria Pavlovskaia; Song Chun Zhu (NIPS, 2013)

Mapping the Energy Landscape of Non-convex Optimization Problems. - Maria Pavlovskaia; Kewei Tu; Song-Chun Zhu (EMMCVPR, 2014)

Mapping Energy Landscapes of Non-Convex Learning Problems. - Maria Pavlovskaia; Kewei Tu; Song-Chun Zhu (CoRR, 2014)

Joint Video and Text Parsing for Understanding Events and Answering Queries. - Kewei Tu; Meng Meng; Mun Wai Lee; Tae Eun Choe; Song Chun Zhu (IEEE Multim., 2014)

Curriculum Learning of Bayesian Network Structures. - Yanpeng Zhao; Yetian Chen; Kewei Tu; Jin Tian 001 (ACML, 2015)

Unsupervised Neural Dependency Parsing. - Yong Jiang; Wenjuan Han; Kewei Tu (EMNLP, 2016)

Context-Dependent Sense Embedding. - Lin Qiu; Kewei Tu; Yong Yu 001 (EMNLP, 2016)

Modified Dirichlet Distribution: Allowing Negative Parameters to Induce Stronger Sparsity. - Kewei Tu (EMNLP, 2016)

Sequence Prediction Using Neural Network Classiers. - Yanpeng Zhao; Shanbo Chu; Yang Zhou; Kewei Tu (ICGI, 2016)

Stochastic and-or Grammars: A Unified Framework and Logic Perspective. - Kewei Tu (IJCAI, 2016)

Latent Dependency Forest Models. - Shanbo Chu; Yong Jiang; Kewei Tu (AAAI, 2017)

CRF Autoencoder for Unsupervised Dependency Parsing. - Jiong Cai; Yong Jiang; Kewei Tu (EMNLP, 2017)

Dependency Grammar Induction with Neural Lexicalization and Big Training Data. - Wenjuan Han; Yong Jiang; Kewei Tu (EMNLP, 2017)

Combining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual Decomposition. - Yong Jiang; Wenjuan Han; Kewei Tu (EMNLP, 2017)

Semi-supervised Structured Prediction with Neural CRF Autoencoder. - Xiao Zhang 017; Yong Jiang; Hao Peng; Kewei Tu; Dan Goldwasser (EMNLP, 2017)

Structured Attentions for Visual Question Answering. - Chen Zhu; Yanpeng Zhao; Shuaiyi Huang; Kewei Tu; Yi Ma (ICCV, 2017)

Expected Likelihood: Not a Good Metric for Gaussian Embeddings. - Yiding Tian; Lin Qiu; Kewei Tu; Yong Yu 001 (TAAI, 2017)

Learning Bayesian network structures under incremental construction curricula. - Yanpeng Zhao; Yetian Chen; Kewei Tu; Jin Tian 001 (Neurocomputing, 2017)

Maximum A Posteriori Inference in Sum-Product Networks. - Jun Mei; Yong Jiang; Kewei Tu (AAAI, 2018)

Gaussian Mixture Latent Vector Grammars. - Yanpeng Zhao; Liwen Zhang; Kewei Tu (ACL (1), 2018)

QA4IE: A Question Answering Based Framework for Information Extraction. - Lin Qiu; Hao Zhou 012; Yanru Qu; Weinan Zhang 001; Suoheng Li; Shu Rong; Dongyu Ru; Lihua Qian; Kewei Tu; Yong Yu 001 (ISWC (1), 2018)

Language Style Transfer from Sentences with Arbitrary Unknown Styles. - Yanpeng Zhao; Wei Bi; Deng Cai 002; Xiaojiang Liu; Kewei Tu; Shuming Shi 001 (CoRR, 2018)

Bidirectional Transition-Based Dependency Parsing. - Yunzhe Yuan; Yong Jiang; Kewei Tu (AAAI, 2019)

Enhancing Unsupervised Generative Dependency Parser with Contextual Information. - Wenjuan Han; Yong Jiang; Kewei Tu (ACL (1), 2019)

Second-Order Semantic Dependency Parsing with End-to-End Neural Networks. - Xinyu Wang 013; Jingxian Huang; Kewei Tu (ACL (1), 2019)

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

ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing. - Xinyu Wang 013; Yixian Liu; Zixia Jia; Chengyue Jiang; Kewei Tu (CoNLL Shared Task, 2019)

Multilingual Grammar Induction with Continuous Language Identification. - Wenjuan Han; Ge Wang 005; Yong Jiang; Kewei Tu (EMNLP/IJCNLP (1), 2019)

A Regularization-based Framework for Bilingual Grammar Induction. - Yong Jiang; Wenjuan Han; Kewei Tu (EMNLP/IJCNLP (1), 2019)

Latent Variable Autoencoder. - Wenjuan Han; Ge Wang 005; Kewei Tu (IEEE Access, 2019)

Projective Latent Dependency Forest Models. - Yong Jiang; Yang Zhou; Kewei Tu (IEEE Access, 2019)

Lexicalized Neural Unsupervised Dependency Parsing. - Wenjuan Han; Yong Jiang; Kewei Tu (Neurocomputing, 2019)

Learning and evaluation of latent dependency forest models. - Yong Jiang; Yang Zhou; Kewei Tu (Neural Comput. Appl., 2019)

Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders. - Zixia Jia; Youmi Ma; Jiong Cai; Kewei Tu (ACL, 2020)

An Empirical Comparison of Unsupervised Constituency Parsing Methods. - Jun Li; Yifan Cao; Jiong Cai; Yong Jiang; Kewei Tu (ACL, 2020)

Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation. - Bo Pang 004; Erik Nijkamp; Wenjuan Han; Linqi Zhou; Yixian Liu; Kewei Tu (ACL, 2020)

Structure-Level Knowledge Distillation For Multilingual Sequence Labeling. - Xinyu Wang 013; Yong Jiang 001; Nguyen Bach; Tao Wang 056; Fei Huang 002; Kewei Tu (ACL, 2020)

A Survey of Unsupervised Dependency Parsing. - Wenjuan Han; Yong Jiang; Hwee Tou Ng; Kewei Tu (COLING, 2020)

Deep Inside-outside Recursive Autoencoder with All-span Objective. - Ruyue Hong; Jiong Cai; Kewei Tu (COLING, 2020)

Semi-Supervised Dependency Parsing with Arc-Factored Variational Autoencoding. - Ge Wang 005; Kewei Tu (COLING, 2020)

Second-Order Unsupervised Neural Dependency Parsing. - Songlin Yang; Yong Jiang; Wenjuan Han; Kewei Tu (COLING, 2020)

More Embeddings, Better Sequence Labelers? - Xinyu Wang 013; Yong Jiang 001; Nguyen Bach; Tao Wang 056; Zhongqiang Huang; Fei Huang 002; Kewei Tu (EMNLP (Findings), 2020)

Adversarial Attack and Defense of Structured Prediction Models. - Wenjuan Han; Liwen Zhang; Yong Jiang; Kewei Tu (EMNLP (1), 2020)

An Investigation of Potential Function Designs for Neural CRF. - Zechuan Hu; Yong Jiang 001; Nguyen Bach; Tao Wang 056; Zhongqiang Huang; Fei Huang 002; Kewei Tu (EMNLP (Findings), 2020)

Learning Numeral Embedding. - Chengyue Jiang; Zhonglin Nian; Kaihao Guo; Shanbo Chu; Yinggong Zhao; Libin Shen; Kewei Tu (EMNLP (Findings), 2020)

Cold-Start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks. - Chengyue Jiang; Yinggong Zhao; Shanbo Chu; Libin Shen; Kewei Tu (EMNLP (1), 2020)

Unsupervised Cross-Lingual Adaptation of Dependency Parsers Using CRF Autoencoders. - Zhao Li; Kewei Tu (EMNLP (Findings), 2020)

AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network. - Xinyu Wang 013; Yong Jiang 001; Nguyen Bach; Tao Wang 056; Zhongqiang Huang; Fei Huang 002; Kewei Tu (EMNLP (1), 2020)

Second-Order Neural Dependency Parsing with Message Passing and End-to-End Training. - Xinyu Wang 013; Kewei Tu (AACL/IJCNLP, 2020)

Enhanced Universal Dependency Parsing with Second-Order Inference and Mixture of Training Data. - Xinyu Wang 013; Yong Jiang 001; Kewei Tu (IWPT 2020, 2020)

An Empirical Study of Encoders and Decoders in Graph-Based Dependency Parsing. - Ge Wang 005; Ziyuan Hu; Zechuan Hu; Kewei Tu (IEEE Access, 2020)

Learning Numeral Embeddings. - Chengyue Jiang; Zhonglin Nian; Kaihao Guo; Shanbo Chu; Yinggong Zhao; Libin Shen; Kewei Tu (CoRR, 2020)

Fast and Accurate Sequence Labeling with Approximate Inference Network. - Xinyu Wang 013; Yong Jiang 001; Nguyen Bach; Tao Wang 056; Zhongqiang Huang; Fei Huang 002; Kewei Tu (CoRR, 2020)

Structural Knowledge Distillation. - Xinyu Wang 013; Yong Jiang 001; Zhaohui Yan 001; Zixia Jia; Nguyen Bach; Tao Wang 056; Zhongqiang Huang; Fei Huang 002; Kewei Tu (CoRR, 2020)

Neural Latent Dependency Model for Sequence Labeling. - Yang Zhou; Yong Jiang; Zechuan Hu; Kewei Tu (CoRR, 2020)

Multi-View Cross-Lingual Structured Prediction with Minimum Supervision. - Zechuan Hu; Yong Jiang 001; Nguyen Bach; Tao Wang 056; Zhongqiang Huang; Fei Huang 002; Kewei Tu (ACL/IJCNLP (1), 2021)

Risk Minimization for Zero-shot Sequence Labeling. - Zechuan Hu; Yong Jiang 001; Nguyen Bach; Tao Wang 056; Zhongqiang Huang; Fei Huang 002; Kewei Tu (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)

Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning. - Xinyu Wang 013; Yong Jiang 001; Nguyen Bach; Tao Wang 056; Zhongqiang Huang; Fei Huang 002; Kewei Tu (ACL/IJCNLP (1), 2021)

Automated Concatenation of Embeddings for Structured Prediction. - Xinyu Wang 013; Yong Jiang 001; Nguyen Bach; Tao Wang 056; Zhongqiang Huang; Fei Huang 002; Kewei Tu (ACL/IJCNLP (1), 2021)

Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor. - Xinyu Wang 013; Yong Jiang 001; Zhaohui Yan 001; Zixia Jia; Nguyen Bach; Tao Wang 056; Zhongqiang Huang; Fei Huang 002; Kewei Tu (ACL/IJCNLP (1), 2021)

Neural Bi-Lexicalized PCFG Induction. - Songlin Yang; Yanpeng Zhao; Kewei Tu (ACL/IJCNLP (1), 2021)

Adapting Unsupervised Syntactic Parsing Methodology for Discourse Dependency Parsing. - Liwen Zhang; Ge Wang 005; Wenjuan Han; Kewei Tu (ACL/IJCNLP (1), 2021)

Unsupervised Natural Language Parsing (Introductory Tutorial). - Kewei Tu; Yong Jiang; Wenjuan Han; Yanpeng Zhao (EACL (Tutorial Abstracts), 2021)

Neuralizing Regular Expressions for Slot Filling. - Chengyue Jiang; Zijian Jin; Kewei Tu (EMNLP (1), 2021)

PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols. - Songlin Yang; Yanpeng Zhao; Kewei Tu (NAACL-HLT, 2021)

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

Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings. - Xinyu Wang 013; Zixia Jia; Yong Jiang 001; Kewei Tu (CoRR, 2021)

ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition. - Xinyu Wang 013; Min Gui; Yong Jiang 001; Zixia Jia; Nguyen Bach; Tao Wang 056; Zhongqiang Huang; Fei Huang 002; Kewei Tu (CoRR, 2021)

Span-Based Semantic Role Labeling with Argument Pruning and Second-Order Inference. - Zixia Jia; Zhaohui Yan 001; Haoyi Wu; Kewei Tu (AAAI, 2022)

Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing. - Chao Lou; Songlin Yang; Kewei Tu (ACL (1), 2022)

Headed-Span-Based Projective Dependency Parsing. - Songlin Yang; Kewei Tu (ACL (1), 2022)

Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks. - Songlin Yang; Kewei Tu (ACL (1), 2022)

Combining (Second-Order) Graph-Based and Headed-Span-Based Projective Dependency Parsing. - Songlin Yang; Kewei Tu (ACL (Findings), 2022)

Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field. - Chengyue Jiang; Yong Jiang 005; Weiqi Wu; Pengjun Xie; Kewei Tu (EMNLP, 2022)

Named Entity and Relation Extraction with Multi-Modal Retrieval. - Xinyu Wang 013; Jiong Cai; Yong Jiang 001; Pengjun Xie; Kewei Tu; Wei Lu 011 (EMNLP (Findings), 2022)

Semantic Dependency Parsing with Edge GNNs. - Songlin Yang; Kewei Tu (EMNLP (Findings), 2022)

Spa: On the Sparsity of Virtual Adversarial Training for Dependency Parsing. - Chao Lou; Wenjuan Han; Kewei Tu (AACL/IJCNLP (Findings), 2022)

An Empirical Study of Pipeline vs. Joint approaches to Entity and Relation Extraction. - Zhaohui Yan 001; Zixia Jia; Kewei Tu (AACL/IJCNLP (2), 2022)

ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition. - Xinyu Wang 013; Min Gui; Yong Jiang 001; Zixia Jia; Nguyen Bach; Tao Wang 056; Zhongqiang Huang; Kewei Tu (NAACL-HLT, 2022)

Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs. - Songlin Yang; Wei Liu 131; Kewei Tu (NAACL-HLT, 2022)

SHARP: Search-Based Adversarial Attack for Structured Prediction. - Liwen Zhang; Zixia Jia; Wenjuan Han; Zilong Zheng; Kewei Tu (NAACL-HLT (Findings), 2022)

Improving Constituent Representation with Hypertree Neural Networks. - Hao Zhou 012; Gongshen Liu; Kewei Tu (NAACL-HLT, 2022)

DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition. - Xinyu Wang 013; Yongliang Shen 001; Jiong Cai; Tao Wang 056; Xiaobin Wang; Pengjun Xie; Fei Huang 002; Weiming Lu 001; Yueting Zhuang; Kewei Tu; Wei Lu 011; Yong Jiang 001 (SemEval@NAACL, 2022)

Modeling Label Correlations for Second-Order Semantic Dependency Parsing with Mean-Field Inference. - Songlin Yang; Kewei Tu (CoRR, 2022)

Joint Information Extraction with Cross-Task and Cross-Instance High-Order Modeling. - Zixia Jia; Zhaohui Yan 001; Wenjuan Han; Zilong Zheng; Kewei Tu (CoRR, 2022)

Graph Propagation based Data Augmentation for Named Entity Recognition. - Jiong Cai; Shen Huang; Yong Jiang 005; Zeqi Tan; Pengjun Xie; Kewei Tu (ACL (2), 2023)

Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field. - Zixia Jia; Zhaohui Yan 001; Wenjuan Han; Zilong Zheng; Kewei Tu (ACL (1), 2023)

Recall, Expand, and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing. - Chengyue Jiang; Wenyang Hui; Yong Jiang 005; Xiaobin Wang; Pengjun Xie; Kewei Tu (ACL (1), 2023)

Structured Mean-Field Variational Inference for Higher-Order Span-Based Semantic Role. - Wei Liu 131; Songlin Yang; Kewei Tu (ACL (Findings), 2023)

Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints. - Chao Lou; Kewei Tu (ACL (2), 2023)

Do PLMs Know and Understand Ontological Knowledge? - Weiqi Wu; Chengyue Jiang; Yong Jiang 005; Pengjun Xie; Kewei Tu (ACL (1), 2023)

Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word Representation. - Haoyi Wu; Kewei Tu (ACL (Findings), 2023)

Don't Parse, Choose Spans! Continuous and Discontinuous Constituency Parsing via Autoregressive Span Selection. - Songlin Yang; Kewei Tu (ACL (1), 2023)

COMBO: A Complete Benchmark for Open KG Canonicalization. - Chengyue Jiang; Yong Jiang 005; Weiqi Wu; Yuting Zheng; Pengjun Xie; Kewei Tu (EACL, 2023)

Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks. - Zhaohui Yan 001; Songlin Yang; Wei Liu 131; Kewei Tu (EMNLP, 2023)

Using Interpretation Methods for Model Enhancement. - Zhuo Chen; Chengyue Jiang; Kewei Tu (EMNLP, 2023)

Improving Span Representation by Efficient Span-Level Attention. - Pengyu Ji; Songlin Yang; Kewei Tu (EMNLP (Findings), 2023)

Simple Hardware-Efficient PCFGs with Independent Left and Right Productions. - Wei Liu 131; Songlin Yang; Yoon Kim; Kewei Tu (EMNLP (Findings), 2023)

AMR Parsing with Causal Hierarchical Attention and Pointers. - Chao Lou; Kewei Tu (EMNLP, 2023)

Conic10K: A Challenging Math Problem Understanding and Reasoning Dataset. - Haoyi Wu; Wenyang Hui; Yezeng Chen; Weiqi Wu; Kewei Tu; Yi Zhou (EMNLP (Findings), 2023)

A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification. - Xiang Hu; Xinyu Kong; Kewei Tu (ICLR, 2023)

DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition. - Zeqi Tan; Shen Huang; Zixia Jia; Jiong Cai; Yinghui Li; Weiming Lu 001; Yueting Zhuang; Kewei Tu; Pengjun Xie; Fei Huang 002 (SemEval@ACL, 2023)

DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition. - Zeqi Tan; Shen Huang; Zixia Jia; Jiong Cai; Yinghui Li; Weiming Lu 001; Yueting Zhuang; Kewei Tu; Pengjun Xie; Fei Huang 002; Yong Jiang 001 (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)

Frame Semantic Role Labeling Using Arbitrary-Order Conditional Random Fields. - Chaoyi Ai; Kewei Tu (AAAI, 2024)

SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding. - Tianyu Yu 002; Chengyue Jiang; Chao Lou; Shen Huang; Xiaobin Wang; Wei Liu 131; Jiong Cai; Yangning Li; Yinghui Li; Kewei Tu; Hai-Tao Zheng 002; Ningyu Zhang 001; et al. (AAAI, 2024)

Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts. - Zhuo Chen; Xinyu Wang 013; Yong Jiang 001; Pengjun Xie; Fei Huang 002; Kewei Tu (ACL (Findings), 2024)

Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at Scale. - Xiang Hu; Pengyu Ji; Qingyang Zhu; Wei Wu; Kewei Tu (ACL (1), 2024)

Layer-Condensed KV Cache for Efficient Inference of Large Language Models. - Haoyi Wu; Kewei Tu (ACL (1), 2024)

Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models. - Yida Zhao; Chao Lou; Kewei Tu (ACL (1), 2024)

Potential and Limitations of LLMs in Capturing Structured Semantics: A Case Study on SRL. - Ning Cheng; Zhaohui Yan 001; Ziming Wang; Zhijie Li; Jiaming Yu; Zilong Zheng; Kewei Tu; Jinan Xu; Wenjuan Han (ICIC (LNAI 1), 2024)

Augmenting Transformers with Recursively Composed Multi-grained Representations. - Xiang Hu; Qingyang Zhu; Kewei Tu; Wei Wu (ICLR, 2024)

RoT: Enhancing Large Language Models with Reflection on Search Trees. - Wenyang Hui; Chengyue Jiang; Yan Wang; Kewei Tu (CoRR, 2024)

Sparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformers. - Chao Lou; Zixia Jia; Zilong Zheng; Kewei Tu (CoRR, 2024)

Learning Robust Named Entity Recognizers From Noisy Data With Retrieval Augmentation. - Chaoyi Ai; Yong Jiang 001; Shen Huang; Pengjun Xie; Kewei Tu (CoRR, 2024)

Efficient Long-range Language Modeling with Self-supervised Causal Retrieval. - Xiang Hu; Zhihao Teng; Wei Wu; Kewei Tu (CoRR, 2024)

Look Both Ways and No Sink: Converting LLMs into Text Encoders without Training. - Ziyong Lin; Haoyi Wu; Shu Wang; Kewei Tu; Zilong Zheng; Zixia Jia (ACL (1), 2025)

A Systematic Study of Compositional Syntactic Transformer Language Models. - Yida Zhao; Hao Xve; Xiang Hu; Kewei Tu (ACL (1), 2025)

Unsupervised Morphological Tree Tokenizer. - Qingyang Zhu; Xiang Hu; Pengyu Ji; Wei Wu; Kewei Tu (ACL (Findings), 2025)

A Systematic Study of Cross-Layer KV Sharing for Efficient LLM Inference. - You Wu; Haoyi Wu; Kewei Tu (NAACL (Short Papers), 2025)

Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference. - Zhuo Chen; Xinyu Wang 013; Yong Jiang 001; Zhen Zhang; Xinyu Geng; Pengjun Xie; Fei Huang 002; Kewei Tu (CoRR, 2025)

Random Long-Context Access for Mamba via Hardware-aligned Hierarchical Sparse Attention. - Xiang Hu; Jiaqi Leng; Jun Zhao; Kewei Tu; Wei Wu (CoRR, 2025)

EvolveSearch: An Iterative Self-Evolving Search Agent. - Dingchu Zhang; Yida Zhao; Jialong Wu 007; Baixuan Li; Wenbiao Yin; Liwen Zhang; Yong Jiang 001; Yufeng Li; Kewei Tu; Pengjun Xie; Fei Huang 002 (CoRR, 2025)

Parallel Continuous Chain-of-Thought with Jacobi Iteration. - Haoyi Wu; Zhihao Teng; Kewei Tu (CoRR, 2025)