Wei Liu - RankMe

29 papers A* 8B 1Misc 1Journal 15Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations. CoRR Wei Liu, Jiawei Xu, Yingru Li, Longtao Zheng, Tianjian Li, Qian Liu, Junxian He
2026	J	`jnl`	The Optimal Token Baseline: Variance Reduction for Long-Horizon LLM-RL. CoRR Yingru Li, Jiawei Xu, Ziniu Li, Jiacai Liu, Wei Liu, Yuxuan Tong, Longtao Zheng, Zhenghai Xue, Yaxiang Zhang, Tianle Cai, Ge Zhang, Qian Liu, Baoxiang Wang
2025	A*	`conf`	Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging. ICML Shiqi Chen, Jinghan Zhang, Tongyao Zhu, Wei Liu, Siyang Gao, Miao Xiong, Manling Li, Junxian He
2025	J	`jnl`	Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging. CoRR Shiqi Chen, Jinghan Zhang, Tongyao Zhu, Wei Liu, Siyang Gao, Miao Xiong, Manling Li, Junxian He
2025	A*	`conf`	Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning. ICML Zican Hu, Wei Liu, Xiaoye Qu, Xiangyu Yue, Chunlin Chen, Zhi Wang, Yu Cheng
2025	J	`jnl`	Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning. CoRR Zican Hu, Wei Liu, Xiaoye Qu, Xiangyu Yue, Chunlin Chen, Zhi Wang, Yu Cheng
2025	A*	`conf`	Diving into Self-Evolving Training for Multimodal Reasoning. ICML Wei Liu, Junlong Li, Xiwen Zhang, Fan Zhou, Yu Cheng, Junxian He
2025	A*	`conf`	Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist. ICLR Zihao Zhou, Shudong Liu, Maizhen Ning, Wei Liu, Jindong Wang, Derek F. Wong, Xiaowei Huang, Qiufeng Wang, Kaizhu Huang
2025	J	`jnl`	Learn to Reason Efficiently with Adaptive Length-based Reward Shaping. CoRR Wei Liu, Ruochen Zhou, Yiyun Deng, Yuzhen Huang, Junteng Liu, Yuntian Deng, Yizhe Zhang, Junxian He
2025	J	`jnl`	SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild. CoRR Weihao Zeng, Yuzhen Huang, Qian Liu, Wei Liu, Keqing He, Zejun Ma, Junxian He
2025	J	`jnl`	The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution. CoRR Junlong Li, Wenshuo Zhao, Jian Zhao, Weihao Zeng, Haoze Wu, Xiaochen Wang, Rui Ge, Yuxuan Cao, Yuzhen Huang, Wei Liu, Junteng Liu, Zhaochen Su, Yiyang Guo, Fan Zhou, Lueyang Zhang, Juan Michelini, Xingyao Wang, Xiang Yue, Shuyan Zhou, Graham Neubig, Junxian He
2024	J	`jnl`	Diving into Self-Evolving Training for Multimodal Reasoning. CoRR Wei Liu, Junlong Li, Xiwen Zhang, Fan Zhou, Yu Cheng, Junxian He
2024	J	`jnl`	Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist. CoRR Zihao Zhou, Shudong Liu, Maizhen Ning, Wei Liu, Jindong Wang, Derek F. Wong, Xiaowei Huang, Qiufeng Wang, Kaizhu Huang
2024	A*	`conf`	MathAttack: Attacking Large Language Models towards Math Solving Ability. AAAI Zihao Zhou, Qiufeng Wang, Mingyu Jin, Jie Yao, Jianan Ye, Wei Liu, Wei Wang, Xiaowei Huang, Kaizhu Huang
2024	A*	`conf`	SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding. AAAI 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	A*	`conf`	What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning. ICLR Wei Liu, Weihao Zeng, Keqing He, Yong Jiang, Junxian He
2023	B	`conf`	AutoMTLSpec: Learning to Generate MTL Specifications from Natural Language Contracts. ICECCS Ning Ge, Jinwen Yang, Tianyu Yu, Wei Liu
2023	A*	`conf`	Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks. EMNLP Zhaohui Yan, Songlin Yang, Wei Liu, Kewei Tu
2023	J	`jnl`	Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks. CoRR Zhaohui Yan, Songlin Yang, Wei Liu, Kewei Tu
2023	J	`jnl`	MathAttack: Attacking Large Language Models Towards Math Solving Ability. CoRR Zihao Zhou, Qiufeng Wang, Mingyu Jin, Jie Yao, Jianan Ye, Wei Liu, Wei Wang, Xiaowei Huang, Kaizhu Huang
2023	J	`jnl`	SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding. CoRR 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
2023	—	`conf`	Simple Hardware-Efficient PCFGs with Independent Left and Right Productions. EMNLP (Findings) Wei Liu, Songlin Yang, Yoon Kim, Kewei Tu
2023	J	`jnl`	Simple Hardware-Efficient PCFGs with Independent Left and Right Productions. CoRR Wei Liu, Songlin Yang, Yoon Kim, Kewei Tu
2023	—	`conf`	Structured Mean-Field Variational Inference for Higher-Order Span-Based Semantic Role. ACL (Findings) Wei Liu, Songlin Yang, Kewei Tu
2023	J	`jnl`	What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning. CoRR Wei Liu, Weihao Zeng, Keqing He, Yong Jiang, Junxian He
2022	—	`conf`	Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs. NAACL-HLT Songlin Yang, Wei Liu, Kewei Tu
2022	J	`jnl`	Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs. CoRR Songlin Yang, Wei Liu, Kewei Tu
2021	Misc	`conf`	Knowledge-Based Chat Detection with False Mention Discrimination. ICASSP Wei Liu, Peijie Huang, Dongzhu Liang, Zihao Zhou
2019	—	`conf`	A Knowledge-Gated Mechanism for Utterance Domain Classification. NLPCC (2) Zefeng Du, Peijie Huang, Yuhong He, Wei Liu, Jiankai Zhu