Mingye Gao

22 papers A* 4Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
ENCORE: Entropy-guided Reward Composition for Multi-head Safety Reward Models.
AAAI
Xiaomin Li, Xupeng Chen, Jingxuan Fan, Eric Hanchen Jiang, Mingye Gao
2026 J jnl
EigenData: A Self-Evolving Multi-Agent Platform for Function-Calling Data Synthesis, Auditing, and Repair.
CoRR
Jiaao Chen, Jingyuan Qi, Mingye Gao, Wei-Chen Wang, Hanrui Wang, Di Jin
2026 J jnl
Heart Rate Monitoring Using Continuous-Wave Radar in Home Environment.
IEEE Internet Things J.
Inbar Chityat, Mingye Gao, Xiang Zhang, Daniel Copeland, Buntoku Mori, Mina Okitsu, Brian W. Anthony
2026 A* conf
Selection of LLM Fine-Tuning Data Based on Orthogonal Rules.
AAAI
Xiaomin Li, Mingye Gao, Zhiwei Zhang, Chang Yue, Hong Hu
2025 J jnl
Data-adaptive Safety Rules for Training Reward Models.
CoRR
Xiaomin Li, Mingye Gao, Zhiwei Zhang, Jingxuan Fan, Weiyu Li
2025 J jnl
MedGUIDE: Benchmarking Clinical Decision-Making in Large Language Models.
CoRR
Xiaomin Li, Mingye Gao, Yuexing Hao, Taoran Li, Guangya Wan, Zihan Wang, Yijun Wang
2025 J jnl
Multi-head Reward Aggregation Guided by Entropy.
CoRR
Xiaomin Li, Xupeng Chen, Jingxuan Fan, Eric Hanchen Jiang, Mingye Gao
2025 A* conf
RuleAdapter: Dynamic Rules for training Safety Reward Models in RLHF.
ICML
Xiaomin Li, Mingye Gao, Zhiwei Zhang, Jingxuan Fan, Weiyu Li
2025 J jnl
When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behavior.
npj Digit. Medicine
Shan Chen, Mingye Gao, Kuleen Sasse, Thomas Hartvigsen, Brian Anthony, Lizhou Fan, Hugo J. W. L. Aerts, Jack Gallifant, Danielle S. Bitterman
2024 J jnl
A Comprehensive Survey of Accelerated Generation Techniques in Large Language Models.
CoRR
Mahsa Khoshnoodi, Vinija Jain, Mingye Gao, Malavika Srikanth, Aman Chadha
2024 A* conf
Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias.
NeurIPS
Shan Chen, 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, Leo Anthony Celi, William G. La Cava, Danielle S. Bitterman
2024 J jnl
Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias.
CoRR
Shan Chen, 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, Leo Anthony Celi, William G. La Cava, Danielle S. Bitterman
2024 — conf
Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks.
EMNLP (Findings)
Jack Gallifant, Shan Chen, Pedro Moreira, Nikolaj Munch, Mingye Gao, Jackson Pond, Leo Anthony Celi, Hugo J. W. L. Aerts, Thomas Hartvigsen, Danielle S. Bitterman
2024 J jnl
Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks.
CoRR
Jack Gallifant, Shan Chen, Pedro Moreira, Nikolaj Munch, Mingye Gao, Jackson Pond, Leo Anthony Celi, Hugo J. W. L. Aerts, Thomas Hartvigsen, Danielle S. Bitterman
2024 — conf
Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning.
NAACL-HLT (Findings)
Tianhua Zhang, Jiaxin Ge, Hongyin Luo, Yung-Sung Chuang, Mingye Gao, Yuan Gong, Yoon Kim, Xixin Wu, Helen Meng, Jim Glass
2024 J jnl
Rule-based Data Selection for Large Language Models.
CoRR
Xiaomin Li, Mingye Gao, Zhiwei Zhang, Chang Yue, Hong Hu
2024 J jnl
The use of large language models to enhance cancer clinical trial educational materials.
CoRR
Mingye Gao, Aman Varshney, Shan Chen, Vikram Goddla, Jack Gallifant, Patrick Doyle, Claire Novack, Maeve Dillon-Martin, Teresia Perkins, Xinrong Correia, Erik P. Duhaime, Howard Isenstein, Elad Sharon, Lisa Soleymani Lehmann, David E. Kozono, Brian Anthony, Dmitriy Dligach, Danielle S. Bitterman
2024 J jnl
Wait, but Tylenol is Acetaminophen... Investigating and Improving Language Models' Ability to Resist Requests for Misinformation.
CoRR
Shan Chen, Mingye Gao, Kuleen Sasse, Thomas Hartvigsen, Brian Anthony, Lizhou Fan, Hugo J. W. L. Aerts, Jack Gallifant, Danielle S. Bitterman
2023 J jnl
Augmenting x-ray single particle imaging reconstruction with self-supervised machine learning.
CoRR
Zhantao Chen, Cong Wang, Mingye Gao, Chun Hong Yoon, Jana B. Thayer, Joshua J. Turner
2023 J jnl
Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning.
CoRR
Tianhua Zhang, Jiaxin Ge, Hongyin Luo, Yung-Sung Chuang, Mingye Gao, Yuan Gong, Xixin Wu, Yoon Kim, Helen Meng, James R. Glass
2022 — conf
Cooperative Self-training of Machine Reading Comprehension.
NAACL-HLT
Hongyin Luo, Shang-wen Li, Mingye Gao, Seunghak Yu, James R. Glass
2021 J jnl
Mitigating Biases in Toxic Language Detection through Invariant Rationalization.
CoRR
Yung-Sung Chuang, Mingye Gao, Hongyin Luo, James R. Glass, Hung-yi Lee, Yun-Nung Chen, Shang-wen Li