👋 About me

Hi! I’m Junlin Liu, a graduate student majoring in Artificial Intelligence at the Institute of Automation Chinese Academy of Sciences (CASIA), and the University of Chinese Academy of Sciences (UCAS).

I’m currently a research intern focusing on mathematical and general reasoning research at Meituan LongCat Team. Previously, I held research intern positions at the Baidu Ernie Team and X-Humanoid LLM Team.

My research interests include reinforcement learning, large language models and multi-agent cooperation and games. I am particularly interested in evaluating and improving the reasoning capabilities of foundation models, with a focus on challenging mathematical and general reasoning.

🔥 News

• 2026.03: 🧩🧩 We will release General365, advancing LLM reasoning beyond domain-specific tasks toward general real-world scenarios.
• 2026.03: ✈️✈️ One paper has been accepted by IJCNN 2026! ACE-MAPPO !
• 2025.10: 📐📐 We released AMO-Bench, a comprehensive benchmark for pushing the boundaries of mathematical reasoning in LLMs.
• 2025.06: 🎉🎉 I received my B.E. degree from Sichuan Agricultural University (SICAU), awarded the Outstanding Graduate and Outstanding Thesis Award, ranking 1^st/198 in overall GPA for three years (2022-2025) ! 🌟🌟Student Spotlight🌟🌟

📝 Publications

Full list of publications in Google Scholar.

• General365: Benchmarking General Reasoning in LLMs Across Diverse and Challenging Tasks. (Longcat Technical Report, arXiv 2026)
  Junlin Liu, Shengnan An, Shuang Zhou, Dan Ma, Shixiong Luo, Ying Xie, Yuan Zhang, Wenling Yuan, et al.

• AMO-Bench: Large Language Models Still Struggle in High School Math Competitions. (ACL 2026, under review)
  Junlin Liu, Shengnan An, Shuang Zhou, Dan Ma, Yehao Lin, Xinxuan Lv, Xuanlin Wang, Xiaoyu Li, Ziwen Wang, Xuezhi Cao, Xunliang Cai.
  [Paper] [Code] [ProjectPage] [HuggingFace]

• Evolutionary Enhanced Multi-Agent Reinforcement Learning for Cooperative Air Combat. (IJCNN 2026)
  Chengwei Li*, Junlin Liu*, Yang Gao, Hui Chang, Xinchen Zhang, hao Zhao.

• LCAS-DetNet: A Ship Target Detection Network for Synthetic Aperture Radar Images. (Applied Sciences)
  Junlin Liu, Dingyi Liao, Xianyao Wang, Jun Li, Bing Yang, Guanyu Chen.
  [Paper] [Code]

💻 Internship Experience

• 2025.09 – present｜ Meituan, LongCat Foundation LLM Team.
  • Research Intern on Mathematical & General Reasoning of Large Language Models.
  • Mentor: Shengnan An, Xuezhi Cao, Xunliang Cai.
• 2025.07 - 2025.09｜ Baidu, ERNIE Foundation LLM Team.
  • Research Intern on Multimodal Evaluation & Post-training Data Engineering of Large Language Models.
  • Mentor: Dr.Xin Wang.
• 2025.03 - 2025.05｜ X-Humanoid (Beijing Innovation Center of Humanoid Robotics), Large Model Department.
  • Research Intern on Embodied Agent for Real-world Interaction.
  • Mentor: Dr.Xiaoyi Chen.

📖 Educations

• 2025.09 – present｜ Institute of Automation Chinese Academy of Sciences (CASIA).
  • Master’s Degree in Artificial Intelligence.
• 2025.09 – present｜ University of Chinese Academy of Sciences (UCAS).
  • Master’s Degree in Artificial Intelligence.
• 2021.09 – 2025.06｜ Sichuan Agricultural University (SiCAU).
  • Bachelor’s Degree in Computer Science and Technology.

🏆 Honors and Awards

• 2025.06, Outstanding Graduates of Sichuan Province, China (Top 2%).
• 2025.06, Outstanding Graduation Thesis (Top 1%).
• 2024.12, Outstanding Student Model (The highest honor of the university, awarded to only 10 students).
• 2024.12, China National Scholarship (Top 0.2%).
• 2023.12, Outstanding Student Scholarship (Top 1%).

📌 Academic Service

• Reviewer for: AAAI, ACL Rolling (ACL, EMNLP, NAACL, EACL), IJCNN
• Reviewer for: Applied Sciences