Hi! I’m Zhibin Gou, currently a third-year M.S. student at SIGS, Tsinghua University, advised by Prof. Yujiu Yang. Before that, I received my bachelor’s degree in Computer Science from Beijing University of Posts and Telecommunications in Jun. 2022.

My long-term research interest lies in AGI, with a current focus on reasoning in LLMs. I am dedicated to developing simple, general, and scalable pathways to achieve AGI.

Education

• Aug. 2022 - Jun. 2025 (Expected) M.Sc., Div. of Information Science and Technology, SIGS, Tsinghua University, Beijing, China.
  GPA: 4.0/4.0

• Sep. 2018 - Jun. 2022 B.Sc., School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China.
  GPA: 3.84/4.0, Rank: 1%

Selected Publications

(* indicates equal contribution)

• [ICLR 2024] ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving [website][code] (Stars: 1k+)
  Zhibin Gou*, Zhihong Shao*, Yeyun Gong, Yelong Shen, Yujiu Yang, Minlie Huang, Nan Duan, Weizhu Chen
  ToRA solves math problems by integrating chain-of-thought reasoning with program-based tool use. ToRA-34B is the first open-source LLM that achieves over 50% on MATH, which is competitive with GPT-4 solving problems with programs.

• [ICLR 2024] CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing [code] (Citations: 200+)
  Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Nan Duan, Weizhu Chen
  The first paper to find that current LLMs struggle with “Self-Verification” and “Self-Correction”, and propose tool-augmented critiquing for reliable self-improvement.

• [NeurIPS 2024 Oral] Rho-1: Not All Tokens Are What You Need [code] (🏆Best Paper Runner-up Award)
  Zhenghao Lin*, Zhibin Gou*, Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Chen Lin, Yujiu Yang, Jian Jiao, Nan Duan, Weizhu Chen
  Rho-1 introduces Selective Language Modeling (SLM), a method for token-level pretraining data selection. By applying SLM to math continual pretraining, it enhances math reasoning by over 16%, reaching baseline performance 5-10x faster.

• [EMNLP 2024] SciAgent: Tool-augmented Language Models for Scientific Reasoning
  Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun, Hany Awadalla, Weizhu Chen

• [ACL 2024 findings] CriticBench: Benchmarking LLMs for Critique-Correct Reasoning [website] [code]
  Zicheng Lin*, Zhibin Gou*, Tian Liang, Ruilin Luo, Haowei Liu, Yujiu Yang

• [COLM 2024] Exploring the Mystery of Influential Data for Mathematical Reasoning
  Xinzhe Ni, Yeyun Gong, Zhibin Gou, Yelong Shen, Yujiu Yang, Nan Duan, Weizhu Chen

• [AAAI 2025] Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning
  Yiming Huang, Xiao Liu, Yeyun Gong, Zhibin Gou, Yelong Shen, Nan Duan, Weizhu Chen

• [ACL 2023] MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction [code]
  Zhibin Gou*, Qingyan Guo*, Yujiu Yang
  MvP is a simple unified generative framework for structure prediction, achieving state-of-the-art performance on 10 datasets across 4 ABSA tasks.

• [ACL 2022 findings] Long Time No See! Open-Domain Conversation with Long-Term Persona Memory [data]
  Xinchao Xu*, Zhibin Gou*, Wenquan Wu, Zheng-Yu Niu, Hua Wu, Haifeng Wang, and Shihang Wang
  The first long-term memory conversation task and the largest multi-turn mutual persona chat dataset in Chinese.

Tech Reports

• [Arxiv 2025.01] DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
  DeepSeek-AI

• [Arxiv 2024.12] DeepSeek-V3 Technical Report
  DeepSeek-AI

• [Arxiv 2024.06] DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
  DeepSeek-AI

Experience

• (June. 2024 - Present) Researcher, DeepSeek, Beijing, China.
  Working on LLMs, especially in reasoning and RL.
  Represented work: DeepSeek-R1

• (Jan. 2023 - May. 2024) Research Intern, NLC Group, Microsoft Research Asia, Beijing, China.
  Mentor: Yeyun Gong, Weizhu Chen
  Working on LLMs, focusing on reasoning and tool-use.
  Represented work: ToRA, CRITIC, Rho-1

• (Sep. 2021 - May. 2022) Research Intern, General Dialogue Group, Baidu Inc., Beijing, China.
  Mentor: Xinchao Xu, Hua Wu
  Working on open-domain dialog: long-term memory, personalized chatbot.

Competitions

• (Nov. 2022) 1st Place (1/54) in NLP task of NeurIPS 2022 IGLU Challenge
• (Aug. 2022) 2nd Place (2/684) in WAIC 2022 Midu CTC Competition
• (May. 2021) 1st Place (auto eval: 1/862, human eval: 3/862) in Multi-skill Dialog task of NLPCC 2021 Language and Intelligence Challenge

Honors & Awards

• Outstanding Graduate Thesis, Beijing, 2022
• Outstanding Graduate, Beijing, 2022
• National Scholarship (top 1%), Ministry of Education, China, 2020
• National Scholarship (top 1%), Ministry of Education, China, 2019
• National Scholarship (top 1%), Ministry of Education, China, 2018

Service

• Reviewer: NeurIPS, ICML, ACL, EMNLP, etc.