| 2026 | ACL | GiLT: Augmenting Transformer Language Models with Dependency Graphs. | Tianyu Huang, Yida Zhao, Chuyan Zhou, Kewei Tu |
| 2026 | EACL | MMUIE: Massive Multi-Domain Universal Information Extraction for Long Documents. | Shuyi Zhang, Zhenbin Chen, Shuting Li, Kewei Tu, Li Jing, Zixia Jia, Zilong Zheng |
| 2025 | ACL | 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 |
| 2025 | ACL | A Systematic Study of Compositional Syntactic Transformer Language Models. | Yida Zhao, Hao Xve, Xiang Hu, Kewei Tu |
| 2025 | ACL | Unsupervised Morphological Tree Tokenizer. | Qingyang Zhu, Xiang Hu, Pengyu Ji, Wei Wu, Kewei Tu |
| 2025 | EMNLP | Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference. | Zhuo Chen, Xinyu Wang, Yong Jiang, Zhen Zhang, Xinyu Geng, Pengjun Xie, Fei Huang, Kewei Tu |
| 2025 | EMNLP | Tree-Structured Non-Autoregressive Decoding for Sequence-to-Sequence Text Generation. | Pengyu Ji, Yufei Liu, Xiang Hu, Kewei Tu |
| 2025 | EMNLP | Parallel Continuous Chain-of-Thought with Jacobi Iteration. | Haoyi Wu, Zhihao Teng, Kewei Tu |
| 2025 | EMNLP | EvolveSearch: An Iterative Self-Evolving Search Agent. | Dingchu Zhang, Yida Zhao, Jialong Wu, Liwen Zhang, Baixuan Li, Wenbiao Yin, Yong Jiang, Yu-Feng Li, Kewei Tu, Pengjun Xie, Fei Huang |
| 2025 | ICML | Efficient Length-Generalizable Attention via Causal Retrieval for Long-Context Language Modeling. | Xiang Hu, Zhihao Teng, Jun Zhao, Wei Wu, Kewei Tu |
| 2025 | NAACL | A Systematic Study of Cross-Layer KV Sharing for Efficient LLM Inference. | You Wu, Haoyi Wu, Kewei Tu |
| 2024 | AAAI | Frame Semantic Role Labeling Using Arbitrary-Order Conditional Random Fields. | Chaoyi Ai, Kewei Tu |
| 2024 | AAAI | SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding. | Tianyu Yu, Chengyue Jiang, Chao Lou, Shen Huang, Xiaobin Wang, Wei Liu, Jiong Cai, Yangning Li, Yinghui Li, Kewei Tu, Hai-Tao Zheng, Ningyu Zhang, Pengjun Xie, Fei Huang, Yong Jiang |
| 2024 | ACL | Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts. | Zhuo Chen, Xinyu Wang, Yong Jiang, Pengjun Xie, Fei Huang, Kewei Tu |
| 2024 | ACL | Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at Scale. | Xiang Hu, Pengyu Ji, Qingyang Zhu, Wei Wu, Kewei Tu |
| 2024 | ACL | Layer-Condensed KV Cache for Efficient Inference of Large Language Models. | Haoyi Wu, Kewei Tu |
| 2024 | ACL | Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models. | Yida Zhao, Chao Lou, Kewei Tu |
| 2024 | ICLR | Augmenting Transformers with Recursively Composed Multi-grained Representations. | Xiang Hu, Qingyang Zhu, Kewei Tu, Wei Wu |
| 2023 | ACL | Graph Propagation based Data Augmentation for Named Entity Recognition. | Jiong Cai, Shen Huang, Yong Jiang, Zeqi Tan, Pengjun Xie, Kewei Tu |
| 2023 | ACL | Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field. | Zixia Jia, Zhaohui Yan, Wenjuan Han, Zilong Zheng, Kewei Tu |
| 2023 | ACL | Recall, Expand, and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing. | Chengyue Jiang, Wenyang Hui, Yong Jiang, Xiaobin Wang, Pengjun Xie, Kewei Tu |
| 2023 | ACL | Structured Mean-Field Variational Inference for Higher-Order Span-Based Semantic Role. | Wei Liu, Songlin Yang, Kewei Tu |
| 2023 | ACL | Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints. | Chao Lou, Kewei Tu |
| 2023 | ACL | Do PLMs Know and Understand Ontological Knowledge? | Weiqi Wu, Chengyue Jiang, Yong Jiang, Pengjun Xie, Kewei Tu |
| 2023 | ACL | Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word Representation. | Haoyi Wu, Kewei Tu |
| 2023 | ACL | Don't Parse, Choose Spans! Continuous and Discontinuous Constituency Parsing via Autoregressive Span Selection. | Songlin Yang, Kewei Tu |
| 2023 | EACL | COMBO: A Complete Benchmark for Open KG Canonicalization. | Chengyue Jiang, Yong Jiang, Weiqi Wu, Yuting Zheng, Pengjun Xie, Kewei Tu |
| 2023 | EMNLP | Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks. | Zhaohui Yan, Songlin Yang, Wei Liu, Kewei Tu |
| 2023 | EMNLP | Using Interpretation Methods for Model Enhancement. | Zhuo Chen, Chengyue Jiang, Kewei Tu |
| 2023 | EMNLP | Improving Span Representation by Efficient Span-Level Attention. | Pengyu Ji, Songlin Yang, Kewei Tu |
| 2023 | EMNLP | Simple Hardware-Efficient PCFGs with Independent Left and Right Productions. | Wei Liu, Songlin Yang, Yoon Kim, Kewei Tu |
| 2023 | EMNLP | AMR Parsing with Causal Hierarchical Attention and Pointers. | Chao Lou, Kewei Tu |
| 2023 | EMNLP | Conic10K: A Challenging Math Problem Understanding and Reasoning Dataset. | Haoyi Wu, Wenyang Hui, Yezeng Chen, Weiqi Wu, Kewei Tu, Yi Zhou |
| 2023 | ICLR | A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification. | Xiang Hu, Xinyu Kong, Kewei Tu |
| 2022 | AAAI | Span-Based Semantic Role Labeling with Argument Pruning and Second-Order Inference. | Zixia Jia, Zhaohui Yan, Haoyi Wu, Kewei Tu |
| 2022 | ACL | Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing. | Chao Lou, Songlin Yang, Kewei Tu |
| 2022 | ACL | Headed-Span-Based Projective Dependency Parsing. | Songlin Yang, Kewei Tu |
| 2022 | ACL | Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks. | Songlin Yang, Kewei Tu |
| 2022 | ACL | Combining (Second-Order) Graph-Based and Headed-Span-Based Projective Dependency Parsing. | Songlin Yang, Kewei Tu |
| 2022 | EMNLP | Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field. | Chengyue Jiang, Yong Jiang, Weiqi Wu, Pengjun Xie, Kewei Tu |
| 2022 | EMNLP | Named Entity and Relation Extraction with Multi-Modal Retrieval. | Xinyu Wang, Jiong Cai, Yong Jiang, Pengjun Xie, Kewei Tu, Wei Lu |
| 2022 | EMNLP | Semantic Dependency Parsing with Edge GNNs. | Songlin Yang, Kewei Tu |
| 2022 | IJCNLP | Spa: On the Sparsity of Virtual Adversarial Training for Dependency Parsing. | Chao Lou, Wenjuan Han, Kewei Tu |
| 2022 | IJCNLP | An Empirical Study of Pipeline vs. Joint approaches to Entity and Relation Extraction. | Zhaohui Yan, Zixia Jia, Kewei Tu |
| 2022 | NAACL | ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition. | Xinyu Wang, Min Gui, Yong Jiang, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Kewei Tu |
| 2022 | NAACL | Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs. | Songlin Yang, Wei Liu, Kewei Tu |
| 2022 | NAACL | SHARP: Search-Based Adversarial Attack for Structured Prediction. | Liwen Zhang, Zixia Jia, Wenjuan Han, Zilong Zheng, Kewei Tu |
| 2022 | NAACL | Improving Constituent Representation with Hypertree Neural Networks. | Hao Zhou, Gongshen Liu, Kewei Tu |
| 2021 | ACL | Multi-View Cross-Lingual Structured Prediction with Minimum Supervision. | Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu |
| 2021 | ACL | Risk Minimization for Zero-shot Sequence Labeling. | Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu |
| 2021 | ACL | Generalized Supervised Attention for Text Generation. | Yixian Liu, Liwen Zhang, Xinyu Zhang, Yong Jiang, Yue Zhang, Kewei Tu |
| 2021 | ACL | Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning. | Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu |
| 2021 | ACL | Automated Concatenation of Embeddings for Structured Prediction. | Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu |
| 2021 | ACL | Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor. | Xinyu Wang, Yong Jiang, Zhaohui Yan, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu |
| 2021 | ACL | Neural Bi-Lexicalized PCFG Induction. | Songlin Yang, Yanpeng Zhao, Kewei Tu |
| 2021 | ACL | Adapting Unsupervised Syntactic Parsing Methodology for Discourse Dependency Parsing. | Liwen Zhang, Ge Wang, Wenjuan Han, Kewei Tu |
| 2021 | EACL | Unsupervised Natural Language Parsing (Introductory Tutorial). | Kewei Tu, Yong Jiang, Wenjuan Han, Yanpeng Zhao |
| 2021 | EMNLP | Neuralizing Regular Expressions for Slot Filling. | Chengyue Jiang, Zijian Jin, Kewei Tu |
| 2021 | NAACL | PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols. | Songlin Yang, Yanpeng Zhao, Kewei Tu |
| 2020 | ACL | Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders. | Zixia Jia, Youmi Ma, Jiong Cai, Kewei Tu |
| 2020 | ACL | An Empirical Comparison of Unsupervised Constituency Parsing Methods. | Jun Li, Yifan Cao, Jiong Cai, Yong Jiang, Kewei Tu |
| 2020 | ACL | Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation. | Bo Pang, Erik Nijkamp, Wenjuan Han, Linqi Zhou, Yixian Liu, Kewei Tu |
| 2020 | ACL | Structure-Level Knowledge Distillation For Multilingual Sequence Labeling. | Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Fei Huang, Kewei Tu |
| 2020 | COLING | A Survey of Unsupervised Dependency Parsing. | Wenjuan Han, Yong Jiang, Hwee Tou Ng, Kewei Tu |
| 2020 | COLING | Deep Inside-outside Recursive Autoencoder with All-span Objective. | Ruyue Hong, Jiong Cai, Kewei Tu |
| 2020 | COLING | Semi-Supervised Dependency Parsing with Arc-Factored Variational Autoencoding. | Ge Wang, Kewei Tu |
| 2020 | COLING | Second-Order Unsupervised Neural Dependency Parsing. | Songlin Yang, Yong Jiang, Wenjuan Han, Kewei Tu |
| 2020 | EMNLP | More Embeddings, Better Sequence Labelers? | Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu |
| 2020 | EMNLP | Adversarial Attack and Defense of Structured Prediction Models. | Wenjuan Han, Liwen Zhang, Yong Jiang, Kewei Tu |
| 2020 | EMNLP | An Investigation of Potential Function Designs for Neural CRF. | Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu |
| 2020 | EMNLP | Learning Numeral Embedding. | Chengyue Jiang, Zhonglin Nian, Kaihao Guo, Shanbo Chu, Yinggong Zhao, Libin Shen, Kewei Tu |
| 2020 | EMNLP | Cold-Start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks. | Chengyue Jiang, Yinggong Zhao, Shanbo Chu, Libin Shen, Kewei Tu |
| 2020 | EMNLP | Unsupervised Cross-Lingual Adaptation of Dependency Parsers Using CRF Autoencoders. | Zhao Li, Kewei Tu |
| 2020 | EMNLP | AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network. | Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu |
| 2020 | IJCNLP | Second-Order Neural Dependency Parsing with Message Passing and End-to-End Training. | Xinyu Wang, Kewei Tu |
| 2019 | AAAI | Bidirectional Transition-Based Dependency Parsing. | Yunzhe Yuan, Yong Jiang, Kewei Tu |
| 2019 | ACL | Enhancing Unsupervised Generative Dependency Parser with Contextual Information. | Wenjuan Han, Yong Jiang, Kewei Tu |
| 2019 | ACL | Second-Order Semantic Dependency Parsing with End-to-End Neural Networks. | Xinyu Wang, Jingxian Huang, Kewei Tu |
| 2019 | ACL | Latent Variable Sentiment Grammar. | Liwen Zhang, Kewei Tu, Yue Zhang |
| 2019 | CoNLL | ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing. | Xinyu Wang, Yixian Liu, Zixia Jia, Chengyue Jiang, Kewei Tu |
| 2019 | EMNLP | Multilingual Grammar Induction with Continuous Language Identification. | Wenjuan Han, Ge Wang, Yong Jiang, Kewei Tu |
| 2019 | EMNLP | A Regularization-based Framework for Bilingual Grammar Induction. | Yong Jiang, Wenjuan Han, Kewei Tu |
| 2018 | AAAI | Maximum A Posteriori Inference in Sum-Product Networks. | Jun Mei, Yong Jiang, Kewei Tu |
| 2018 | ACL | Gaussian Mixture Latent Vector Grammars. | Yanpeng Zhao, Liwen Zhang, Kewei Tu |
| 2017 | AAAI | Latent Dependency Forest Models. | Shanbo Chu, Yong Jiang, Kewei Tu |
| 2017 | EMNLP | CRF Autoencoder for Unsupervised Dependency Parsing. | Jiong Cai, Yong Jiang, Kewei Tu |
| 2017 | EMNLP | Dependency Grammar Induction with Neural Lexicalization and Big Training Data. | Wenjuan Han, Yong Jiang, Kewei Tu |
| 2017 | EMNLP | Combining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual Decomposition. | Yong Jiang, Wenjuan Han, Kewei Tu |
| 2017 | EMNLP | Semi-supervised Structured Prediction with Neural CRF Autoencoder. | Xiao Zhang, Yong Jiang, Hao Peng, Kewei Tu, Dan Goldwasser |
| 2017 | ICCV | Structured Attentions for Visual Question Answering. | Chen Zhu, Yanpeng Zhao, Shuaiyi Huang, Kewei Tu, Yi Ma |
| 2016 | EMNLP | Unsupervised Neural Dependency Parsing. | Yong Jiang, Wenjuan Han, Kewei Tu |
| 2016 | EMNLP | Context-Dependent Sense Embedding. | Lin Qiu, Kewei Tu, Yong Yu |
| 2016 | EMNLP | Modified Dirichlet Distribution: Allowing Negative Parameters to Induce Stronger Sparsity. | Kewei Tu |
| 2016 | IJCAI | Stochastic and-or Grammars: A Unified Framework and Logic Perspective. | Kewei Tu |
| 2015 | ACML | Curriculum Learning of Bayesian Network Structures. | Yanpeng Zhao, Yetian Chen, Kewei Tu, Jin Tian |
| 2012 | EMNLP | Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars. | Kewei Tu, Vasant G. Honavar |
| 2011 | IJCAI | On the Utility of Curricula in Unsupervised Learning of Probabilistic Grammars. | Kewei Tu, Vasant G. Honavar |
| 2011 | SDM | Exemplar-based Robust Coherent Biclustering. | Kewei Tu, Xixiu Ouyang, Dingyi Han, Vasant G. Honavar |
| 2005 | DASFAA | CMC: Combining Multiple Schema-Matching Strategies Based on Credibility Prediction. | Kewei Tu, Yong Yu |
| 2003 | ICCS | A Semantic Search Approach by Graph Matching with Negations and Inferences. | Kewei Tu, Jing Lu, Haiping Zhu, Guowei Liu, Yong Yu |