Mitigating Biases in Toxic Language Detection through Invariant Rationalization. - Yung-Sung Chuang; Mingye Gao; Hongyin Luo; James R. Glass; Hung-Yi Lee; Yun-Nung Chen; Shang-Wen Li 001 (CoRR, 2021)

Cooperative Self-training of Machine Reading Comprehension. - Hongyin Luo; Shang-Wen Li 001; Mingye Gao; Seunghak Yu; James R. Glass (NAACL-HLT, 2022)

Augmenting x-ray single particle imaging reconstruction with self-supervised machine learning. - Zhantao Chen; Cong Wang; Mingye Gao; Chun Hong Yoon; Jana B. Thayer; Joshua J. Turner (CoRR, 2023)

Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks. - Jack Gallifant; Shan Chen 004; Pedro Moreira; Nikolaj Munch; Mingye Gao; Jackson Pond; Leo Anthony Celi; Hugo J. W. L. Aerts; Thomas Hartvigsen; Danielle S. Bitterman (EMNLP (Findings), 2024)

Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning. - Tianhua Zhang; Jiaxin Ge; Hongyin Luo; Yung-Sung Chuang; Mingye Gao; Yuan Gong 001; Yoon Kim; Xixin Wu; Helen Meng; Jim Glass 001 (NAACL-HLT (Findings), 2024)

Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias. - Shan Chen 004; Jack Gallifant; Mingye Gao; Pedro Moreira; Nikolaj Munch; Ajay Muthukkumar; Arvind Rajan; Jaya Kolluri; Amelia Fiske; Janna Hastings; Hugo J. W. L. Aerts; Brian Anthony; et al. (NeurIPS, 2024)

A Comprehensive Survey of Accelerated Generation Techniques in Large Language Models. - Mahsa Khoshnoodi; Vinija Jain; Mingye Gao; Malavika Srikanth; Aman Chadha (CoRR, 2024)

Wait, but Tylenol is Acetaminophen... Investigating and Improving Language Models' Ability to Resist Requests for Misinformation. - Shan Chen 004; Mingye Gao; Kuleen Sasse; Thomas Hartvigsen; Brian Anthony; Lizhou Fan; Hugo J. W. L. Aerts; Jack Gallifant; Danielle S. Bitterman (CoRR, 2024)

Rule-based Data Selection for Large Language Models. - Xiaomin Li; Mingye Gao; Zhiwei Zhang; Chang Yue; Hong Hu (CoRR, 2024)

The use of large language models to enhance cancer clinical trial educational materials. - Mingye Gao; Aman Varshney; Shan Chen 004; Vikram Goddla; Jack Gallifant; Patrick Doyle; Claire Novack; Maeve Dillon-Martin; Teresia Perkins; Xinrong Correia; Erik P. Duhaime; Howard Isenstein; et al. (CoRR, 2024)

Data-adaptive Safety Rules for Training Reward Models. - Xiaomin Li; Mingye Gao; Zhiwei Zhang; Jingxuan Fan; Weiyu Li (CoRR, 2025)

Multi-head Reward Aggregation Guided by Entropy. - Xiaomin Li; Xupeng Chen; Jingxuan Fan; Eric Hanchen Jiang; Mingye Gao (CoRR, 2025)

MedGUIDE: Benchmarking Clinical Decision-Making in Large Language Models. - Xiaomin Li; Mingye Gao; Yuexing Hao; Taoran Li; Guangya Wan; Zihan Wang; Yijun Wang (CoRR, 2025)