Publications

Yiqiao Jin, Jiaxi Yang, Mengqi Zhang, Yiqiao Jin, Hao Chen, Qingsong Wen, Lu Lin, Yi He, Weijie Xu, James Evans, Jindong Wang (2025). Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems. arXiv.

Yiqiao Jin, Yijia Xiao, Yiyang Wang, Jindong Wang (2025). SciEvo: A 2 Million, 30-Year Cross-disciplinary Dataset for Temporal Scientometric Analysis. Good Data AAAI 2025.

Admin *, Qinlin Zhao*, Yiyang Wang, Hao Chen, Kaijie Zhu, Yijia Xiao, Jindong Wang (2024). AgentReview: Exploring Peer Review Dynamics with LLM Agents. EMNLP'24.

Neng Kai Nigel Neo, Yeon-Chang Lee, Yiqiao Jin, Sang-Wook Kim, Srijan Kumar (2024). Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation. CIKM'24.

Qinlin Zhao, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Jindong Wang (2024). CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents. ICML'24.

Yiqiao Jin, Rachneet Kaur, Zhen Zeng, Sumitra Ganesh, Srijan Kumar (2024). SlideAgent: Hierarchical Agentic Framework for Multi-Page Visual Document Understanding. arXiv.

Yiqiao Jin, Xiting Wang, Yaru Hao, Xing Xie (2024). Prototypical Reward Network for Data-Efficient RLHF. ACL'24.

Yiqiao Jin, Minje Choi, Gaurav Verma, Jindong Wang, Srijan Kumar (2024). MM-SOC: Benchmarking Multimodal Large Language Models in Social Media Platforms. ACL'24.

Yiqiao Jin, Mohit Chandra, Gaurav Verma, Yibo Hu, Munmun De Choudhury, Srijan Kumar (2024). Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries. WWW'24.

Changyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Jie Cao, Yi Liu, Rui Yan (2023). Semi-Offline Reinforcement Learning for Optimized Text Generation. ICML'23.