Weizhu Chen

24 papers at tracked venues · 18 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

ICLR ×6 NeurIPS ×6 NAACL ×4 ACL ×3 AAAI ×2 EMNLP ×2 ICML ×1

Frequent coauthors

Yelong Shen

×13

Yeyun Gong

×9

Nan Duan

×7

Zhenghao Lin

×4

Zhibin Gou

×4

Jian-Guang Lou

×4

Xiao Liang

×3

Shuai Lu

×3

Ying Nian Wu

×3

Liliang Ren

×3

Xiao Liu

×3

Chen Lin

×3

Papers

Gold-Medal-Level Olympiad Geometry Solving with Efficient Heuristic Auxiliary Constructions
ACL 2026 ·
Boyan Duan
,
Xiao Liang
,
Shuai Lu
,
Yaoxiang Wang
,
Yelong Shen
,
Kai-Wei Chang
,
Ying Nian Wu
,
Mao Yang
, Weizhu Chen,
Yeyun Gong
Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability
ACL 2026 ·
Xiao Liang
,
Zhong-Zhi Li
,
Zhenghao Lin
,
Eric Hanchen Jiang
,
Hengyuan Zhang
,
Yelong Shen
,
Kai-Wei Chang
,
Ying Nian Wu
,
Yeyun Gong
, Weizhu Chen
Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation
NeurIPS 2025 ·
Liliang Ren
,
Congcong Chen
,
Haoran Xu
,
Young Jin Kim
,
Adam Atkinson
,
Zheng Zhan
,
Jiankai Sun
,
Baolin Peng
,
Liyuan Liu
,
Shuohang Wang
,
Hao Cheng
,
Jianfeng Gao
, Weizhu Chen,
Yelong Shen
Key-Point-Driven Data Synthesis with Its Enhancement on Mathematical Reasoning
AAAI 2025 ·
Yiming Huang
,
Xiao Liu
,
Yeyun Gong
,
Zhibin Gou
,
Yelong Shen
,
Nan Duan
, Weizhu Chen
LongRoPE2: Near-Lossless LLM Context Window Scaling
ICML 2025 ·
Ning Shang
,
Li Lyna Zhang
,
Siyuan Wang
,
Gaokai Zhang
,
Gilsinia Lopez
,
Fan Yang
, Weizhu Chen,
Mao Yang
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
AAAI 2025 ·
Yaming Yang
,
Dilxat Muhtar
,
Yelong Shen
,
Yuefeng Zhan
,
Jianfeng Liu
,
Yujing Wang
,
Hao Sun
,
Weiwei Deng
,
Feng Sun
,
Qi Zhang
, Weizhu Chen,
Yunhai Tong
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2025 - Volume 3: Industry Track, Albuquerque, New Mexico, USA, April 30, 2025
NAACL 2025 · Weizhu Chen,
Yi Yang
,
Mohammad Kachuee
,
Xue-Yong Fu
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
NeurIPS 2025 ·
Yiping Wang
,
Qing Yang
,
Zhiyuan Zeng
,
Liliang Ren
,
Liyuan Liu
,
Baolin Peng
,
Hao Cheng
,
Xuehai He
,
Kuan Wang
,
Jianfeng Gao
, Weizhu Chen,
Shuohang Wang
,
Simon S. Du
,
Yelong Shen
Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
ICLR 2025 ·
Liliang Ren
,
Yang Liu
,
Yadong Lu
,
Yelong Shen
,
Chen Liang
, Weizhu Chen
SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning
NeurIPS 2025 ·
Xiao Liang
,
Zhong-Zhi Li
,
Yeyun Gong
,
Yang Wang
,
Hengyuan Zhang
,
Yelong Shen
,
Ying Nian Wu
, Weizhu Chen
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
NAACL 2024 ·
Wanjun Zhong
,
Ruixiang Cui
,
Yiduo Guo
,
Yaobo Liang
,
Shuai Lu
,
Yanlin Wang
,
Amin Saied
, Weizhu Chen,
Nan Duan
AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators
NAACL 2024 ·
Xingwei He
,
Zhenghao Lin
,
Yeyun Gong
,
A-Long Jin
,
Hang Zhang
,
Chen Lin
,
Jian Jiao
,
Siu Ming Yiu
,
Nan Duan
, Weizhu Chen
Automatic Instruction Evolving for Large Language Models
EMNLP 2024 ·
Weihao Zeng
,
Can Xu
,
Yingxiu Zhao
,
Jian-Guang Lou
, Weizhu Chen
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
ICLR 2024 ·
Zhibin Gou
,
Zhihong Shao
,
Yeyun Gong
,
Yelong Shen
,
Yujiu Yang
,
Nan Duan
, Weizhu Chen
Can LLMs Learn From Mistakes? An Empirical Study on Reasoning Tasks
EMNLP 2024 ·
Shengnan An
,
Zexiong Ma
,
Siqi Cai
,
Zeqi Lin
,
Nanning Zheng
,
Jian-Guang Lou
, Weizhu Chen
Competition-Level Problems are Effective LLM Evaluators
ACL 2024 ·
Yiming Huang
,
Zhenghao Lin
,
Xiao Liu
,
Yeyun Gong
,
Shuai Lu
,
Fangyu Lei
,
Yaobo Liang
,
Yelong Shen
,
Chen Lin
,
Nan Duan
, Weizhu Chen
Language Models can be Deductive Solvers
NAACL 2024 ·
Jiazhan Feng
,
Ruochen Xu
,
Junheng Hao
,
Hiteshi Sharma
,
Yelong Shen
,
Dongyan Zhao
, Weizhu Chen
LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models
ICLR 2024 ·
Yixiao Li
,
Yifan Yu
,
Chen Liang
,
Nikos Karampatziakis
,
Pengcheng He
, Weizhu Chen,
Tuo Zhao
Make Your LLM Fully Utilize the Context
NeurIPS 2024 ·
Shengnan An
,
Zexiong Ma
,
Zeqi Lin
,
Nanning Zheng
,
Jian-Guang Lou
, Weizhu Chen
Not All Tokens Are What You Need for Pretraining
NeurIPS 2024 ·
Zhenghao Lin
,
Zhibin Gou
,
Yeyun Gong
,
Xiao Liu
,
Yelong Shen
,
Ruochen Xu
,
Chen Lin
,
Yujiu Yang
,
Jian Jiao
,
Nan Duan
, Weizhu Chen
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective
ICLR 2024 ·
Ming Zhong
,
Chenxin An
, Weizhu Chen,
Jiawei Han
,
Pengcheng He
Supervised Knowledge Makes Large Language Models Better In-context Learners
ICLR 2024 ·
Linyi Yang
,
Shuibai Zhang
,
Zhuohao Yu
,
Guangsheng Bao
,
Yidong Wang
,
Jindong Wang
,
Ruochen Xu
,
Wei Ye
,
Xing Xie
, Weizhu Chen,
Yue Zhang
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
ICLR 2024 ·
Zhibin Gou
,
Zhihong Shao
,
Yeyun Gong
,
Yelong Shen
,
Yujiu Yang
,
Minlie Huang
,
Nan Duan
, Weizhu Chen
WizardArena: Post-training Large Language Models via Simulated Offline Chatbot Arena
NeurIPS 2024 ·
Haipeng Luo
,
Qingfeng Sun
,
Can Xu
,
Pu Zhao
,
Qingwei Lin
,
Jian-Guang Lou
,
Shifeng Chen
,
Yansong Tang
, Weizhu Chen