| 2025 | ACL | Rethinking Diverse Human Preference Learning through Principal Component Analysis. | Feng Luo, Rui Yang, Hao Sun, Chunyuan Deng, Jiarui Yao, Jingyan Shen, Huan Zhang, Hanjie Chen |
| 2025 | ICML | Learning Distribution-wise Control in Representation Space for Language Models. | Chunyuan Deng, Ruidi Chang, Hanjie Chen |
| 2025 | NAACL | SAFR: Neuron Redistribution for Interpretability. | Ruidi Chang, Chunyuan Deng, Hanjie Chen |
| 2024 | ACL | Unveiling the Spectrum of Data Contamination in Language Model: A Survey from Detection to Remediation. | Chunyuan Deng, Yilun Zhao, Yuzhao Heng, Yitong Li, Jiannan Cao, Xiangru Tang, Arman Cohan |
| 2024 | ACL | ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models. | Yuzhao Heng, Chunyuan Deng, Yitong Li, Yue Yu, Yinghao Li, Rongzhi Zhang, Chao Zhang |
| 2024 | ACL | Better Late Than Never: Model-Agnostic Hallucination Post-Processing Framework Towards Clinical Text Summarization. | Songda Li, Yunqi Zhang, Chunyuan Deng, Yake Niu, Hui Zhao |
| 2024 | ACL | Simulated Misinformation Susceptibility (SMISTS): Enhancing Misinformation Research with Large Language Model Simulations. | Weicheng Ma, Chunyuan Deng, Aram Moossavi, Lili Wang, Soroush Vosoughi, Diyi Yang |
| 2024 | EMNLP | MIMIR: A Customizable Agent Tuning Platform for Enhanced Scientific Applications. | Xiangru Tang, Chunyuan Deng, Hanming Wang, Haoran Wang, Yilun Zhao, Wenqi Shi, May Fung, Wangchunshu Zhou, Jiannan Cao, Heng Ji, Arman Cohan, Mark Gerstein |
| 2024 | NAACL | Investigating Data Contamination in Modern Benchmarks for Large Language Models. | Chunyuan Deng, Yilun Zhao, Xiangru Tang, Mark Gerstein, Arman Cohan |
| 2024 | NAACL | Think Before You Act: A Two-Stage Framework for Mitigating Gender Bias Towards Vision-Language Tasks. | Yunqi Zhang, Songda Li, Chunyuan Deng, Luyi Wang, Hui Zhao |