A Knowledge-Gated Mechanism for Utterance Domain Classification. - Zefeng Du; Peijie Huang; Yuhong He; Wei Liu 131; Jiankai Zhu (NLPCC (2), 2019)

Knowledge-Based Chat Detection with False Mention Discrimination. - Wei Liu 131; Peijie Huang; Dongzhu Liang; Zihao Zhou (ICASSP, 2021)

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

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

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

AutoMTLSpec: Learning to Generate MTL Specifications from Natural Language Contracts. - Ning Ge 002; Jinwen Yang; Tianyu Yu 002; Wei Liu 131 (ICECCS, 2023)

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)

MathAttack: Attacking Large Language Models towards Math Solving Ability. - Zihao Zhou; Qiufeng Wang 001; Mingyu Jin; Jie Yao; Jianan Ye; Wei Liu 131; Wei Wang 042; Xiaowei Huang 001; Kaizhu Huang (AAAI, 2024)

What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning. - Wei Liu 131; Weihao Zeng; Keqing He 001; Yong Jiang 001; Junxian He (ICLR, 2024)

Diving into Self-Evolving Training for Multimodal Reasoning. - Wei Liu 131; Junlong Li; Xiwen Zhang; Fan Zhou; Yu Cheng 001; Junxian He (CoRR, 2024)

Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist. - Zihao Zhou; Shudong Liu 004; Maizhen Ning; Wei Liu 131; Jindong Wang 001; Derek F. Wong; Xiaowei Huang 001; Qiufeng Wang 001; Kaizhu Huang (ICLR, 2025)

SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild. - Weihao Zeng; Yuzhen Huang; Qian Liu 012; Wei Liu 131; Keqing He 001; Zejun Ma; Junxian He (CoRR, 2025)

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging. - Shiqi Chen; Jinghan Zhang 006; Tongyao Zhu; Wei Liu 131; Siyang Gao; Miao Xiong; Manling Li; Junxian He (CoRR, 2025)

Learn to Reason Efficiently with Adaptive Length-based Reward Shaping. - Wei Liu 131; Ruochen Zhou; Yiyun Deng; Yuzhen Huang; Junteng Liu; Yuntian Deng; Yizhe Zhang; Junxian He (CoRR, 2025)

Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning. - Zican Hu; Wei Liu 131; Xiaoye Qu; Xiangyu Yue 001; Chunlin Chen; Zhi Wang; Yu Cheng 001 (CoRR, 2025)