• 2026: 3 papers on multi-turn modeling (via GRPO), personalization, and agentic systems accepted to ACL 2026. 🎉
• 2026: Serving as Area Chair for ARR. 🎉
• 2026: US Patent 12,530,529 granted for Domain-specific NER via Graph Neural Networks.
• 2025: 6 papers accepted to NAACL-2025, ACL-2025, and EMNLP-2025, covering long-context modeling, agents, RAG, and post-training data flywheel. ✨
• 2024: First-authored long paper (CoMM) accepted to NAACL-2024 — a pioneering multi-agent prompting framework for complex LLM reasoning. 👋
• 2023: First-authored paper (HYTREL) accepted to NeurIPS-2023 as a Spotlight presentation (top 5%). ✨

LLM & Foundation Model Training

• HYTREL: Hypergraph-enhanced Tabular Data Representation Learning
  Pei Chen, Soumajyoti Sarkar, Leonard Lausen, Balasubramaniam Srinivasan, Sheng Zha, et al.
  NeurIPS 2023, Spotlight (top 5%)

• Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning
  Ming Li, Pei Chen, Chenguang Wang, Hongyu Zhao, Yijun Liang, et al.
  ACL 2025, Findings

• ItD: Large Language Models Can Teach Themselves Induction through Deduction
  Wangtao Sun, Haotian Xu, Xuanqing Yu, Pei Chen, Shizhu He, et al.
  ACL 2024, long paper

• Aligning Large Language Models with Implicit Preferences from User-Generated Content
  Zhaoxuan Tan, Zheng Li, Tianyi Liu, Haodong Wang, Pei Chen, et al.
  ACL 2025, long paper

Agent

• CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving
  Pei Chen, Shuai Zhang, Boran Han
  NAACL 2024, Findings

• Hephaestus: Improving Fundamental Agent Capabilities of LLMs through Continual Pre-Training
  Yuchen Zhuang, Jingfeng Yang, Haoming Jiang, Xin Liu, Pei Chen, et al.
  NAACL 2025, long paper

• Improving LLMs Function Calling and Interpretability via Guided-Structured Templates
  Hy Dang, Tianyi Liu, Zhuofeng Wu, Jingfeng Yang, Pei Chen, et al.
  EMNLP 2025, long paper

RAG & Long-context & Personalization

• LongLeader: A Comprehensive Leaderboard for LLMs in Long-context Scenarios
  Pei Chen, Hongye Jin, Cheng-Che Lee, Rulin Shao, Jingfeng Yang, et al.
  NAACL 2025, long paper

• ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations
  Yichuan Li, Xinyang Zhang, Chenwei Zhang, Mao Li, Pei Chen, et al.
  NAACL 2025, long paper

• UniConv: Unifying Retrieval and Response Generation for LLMs in Conversations
  Fengran Mo, Yifan Gao, Chuan Meng, Xin Liu, Pei Chen, et al.
  ACL 2025, long paper