I am currently working at DAMO Academy, Alibaba Group as a research engineer.

Before this, I received my Bachelor’s degree (2017-2021, computer science), Master’s degree (2021-2024, computer science) from Shandong University and Xiamen University, respectively.

🤔 Currently, my research interests are primarily focused on Large Language Models (LLMs), covering the following topics:

• Knowledge-Augmented LLMs allow LLMs to make full use of external knowledge to solve real-world problems
• LLM-Agent that creates interfaces to help LLMs and humans communicate, interact, and exchange knowledge. I believe all these questions are fundamental for bridging the gap between LLMs and human intelligence, and their solutions will play significant roles in implementing a knowledge-centric AI.
• Reinforcement Learning that can train the model without human knowledge and even beyond human performance.
• Large-Vision Language Models (LVLMs) that enables LVLMs to better understand images, comprehend user intent, and mitigate hallucination issues.

🤝 Looking for collaboration! If you are interested in working with me, please drop me an email.

🔥 News

• 2024.11:  🎉🎉 One paper (MVP) is accepted by COLING 2025!
• 2024.09:  🎉🎉 One paper (ConflictBank) is accepted by NeurIPS 2024 Track Datasets and Benchmarks!
• 2024.09:  🎉🎉 One paper (SURf) is accepted by EMNLP 2024!
• 2024.08:  🎉🎉 Starting a new position as Research Engineer at DAMO Academy, Alibaba Group!
• 2024.03:  🎉🎉 One paper (TableLLM) is accepted by IJCNN 2024!
• 2024.03:  🎉🎉 Two papers (Iter-CoT, Guide-Align) are accepted by NAACL 2024!
• 2024.02:  🎉🎉 One paper (APOLLO) is accepted by COLING 2024!
• 2024.02:  🎉🎉 One paper (Think-on-Graph) is accepted by ICLR 2024!

📝 Publications

1. ICLR 2024 Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph, Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Lionel M. Ni, Heung-Yeung Shum, Jian Guo.

2. COLING 2024 APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning, Jiashuo Sun, Hang Zhang, Chen Lin, Yeyun Gong, Jian Guo, Nan Duan.

3. NAACL 2024 Findings Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models, Jiashuo Sun, Yi Luo, Yeyun Gong, Chen Lin, Yelong Shen, Jian Guo, Nan Duan.

4. IJCNN 2024 TableLLM: Effective Training Framework for Table Reasoning in Large Language Models, Jiasuho Sun, Chengjin Xu, Jian Guo.

5. EMNLP 2024 SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information, Jiashuo Sun, Jihai Zhang, Chengyu Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng

6. COLING 2025 Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning, Xiaoye Qu^*, Jiashuo Sun^*, Wei Wei, Daizong Liu, Jianfeng Dong, Yong Deng, Weitao Zheng, Yu Cheng

7. NAACL 2024 Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models, Yi Luo, Zhenghao Lin, Yuhao Zhang, Jiashuo Sun, Chen Lin, Chengjin Xu, Xiangdong Su, Yelong Shen, Jian Guo, Yeyun Gong.

8. NeurIPS 2024 Track Datasets and Benchmarks ConflictBank: A Benchmark for Evaluating Knowledge Conflicts in Large Language Models, Zhaochen Su, Jun Zhang, Xiaoye Qu, Tong Zhu, Yanshu Li, Jiashuo Sun, Juntao Li, Min Zhang, Yu Cheng.

9. Submission to TOMM Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation, Xiaoye Qu, Qiyuan Chen, Wei wei, Jiashuo Sun, Jianfeng Dong.

10. Submission to CVPR 2025 2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining, Wenqi Zhang, Hang Zhang, Xin Li, Jiashuo Sun, Yongliang Shen, Weiming Lu, Deli Zhao, Yueting Zhuang, Lidong Bing

11. Submission to ICLR 2025 Prompt Injection Benchmark for Foundation Model Integrated Systems, Jiongxiao Wang, Peiran Li, Siyuan Ma, Peiran Wang, Xiaogeng Liu, Jiashuo Sun, Yiming Liang, Tian Xia, Yu Wang, Weidi Luo, Chaowei Xiao

👨‍💻 Open-Source Projects

• NanoRAG: Simple implementation of Retrieval-Augmented Generation System

• PiXiu: Instruct-tuning Large Language Models with Chinese Financial Knowledge Graph

🎖 Honors and Awards

• 2022.11 FinQA Competition Leaderboard Rank 1
• 2022.11 ConvFinQA Competition Leaderboard Rank 1

📖 Educations

• 2021.09 - 2024.06, M.S. in Computer Science, Xiamen University
• 2017.09 - 2021.06, B.S. in Computer Science, Shandong University.

💁 Volunteer

• Area Chair: ARR, ACL
• Conference Reviewer: ARR, ACL, EMNLP, NAACL, ACMM, TKDE, ICLR
• 2022.09 - 2023.03, Object Oriented Programming (2022 Fall) Teaching Assistant

💻 Internships and Work Experiences

• 2024.08 - Present, DAMO Academy, Alibaba Group, Research Engineer
• 2024.01 - 2024.07, Shanghai AI Laboratory General Technology Research, Research Intern
• 2023.04 - 2023.12, International Digital Economy Academy Fin-AI Group, Research Intern
• 2022.09 - 2023.04, Microsoft Research Asia NLC Group, Research Assitant

🎨 Miscellaneous

• I am an amateur singer 🎤 and have won the Top Ten Singer Award at Xiamen University twice (you can check out my competition videos at this). I also enjoy playing instruments, such as the piano 🎹 and guitar 🎸. When I’m not coding, I love listening to music and making music (R&B is my favourite).
• If you have similar interests or would like to connect with me, feel free to email me anytime!