Mingye Gao

According to our database, Mingye Gao authored at least 19 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

EigenData: A Self-Evolving Multi-Agent Platform for Function-Calling Data Synthesis, Auditing, and Repair.

Jiaao Chen, Jingyuan Qi, Mingye Gao, Wei-Chen Wang, Hanrui Wang, Di Jin

CoRR, March, 2026

Heart Rate Monitoring Using Continuous-Wave Radar in Home Environment.

Inbar Chityat, Mingye Gao, Xiang Zhang, Daniel Copeland, Buntoku Mori, Mina Okitsu, Brian W. Anthony

IEEE Internet Things J., 2026

Selection of LLM Fine-Tuning Data Based on Orthogonal Rules.

Xiaomin Li, Mingye Gao, Zhiwei Zhang, Chang Yue, Hong Hu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

ENCORE: Entropy-guided Reward Composition for Multi-head Safety Reward Models.

Xiaomin Li, Xupeng Chen, Jingxuan Fan, Eric Hanchen Jiang, Mingye Gao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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, May, 2025

Multi-head Reward Aggregation Guided by Entropy.

Xiaomin Li, Xupeng Chen, Jingxuan Fan, Eric Hanchen Jiang, Mingye Gao

CoRR, March, 2025

Data-adaptive Safety Rules for Training Reward Models.

Xiaomin Li, Mingye Gao, Zhiwei Zhang, Jingxuan Fan, Weiyu Li

CoRR, January, 2025

When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behavior.

Shan Chen, Mingye Gao, Kuleen Sasse, Thomas Hartvigsen, Brian Anthony, Lizhou Fan, Hugo J. W. L. Aerts, Jack Gallifant, Danielle S. Bitterman

npj Digit. Medicine, 2025

RuleAdapter: Dynamic Rules for training Safety Reward Models in RLHF.

Xiaomin Li, Mingye Gao, Zhiwei Zhang, Jingxuan Fan, Weiyu Li

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

The use of large language models to enhance cancer clinical trial educational materials.

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

CoRR, 2024

Rule-based Data Selection for Large Language Models.

Xiaomin Li, Mingye Gao, Zhiwei Zhang, Chang Yue, Hong Hu

CoRR, 2024

Wait, but Tylenol is Acetaminophen... Investigating and Improving Language Models' Ability to Resist Requests for Misinformation.

Shan Chen, Mingye Gao, Kuleen Sasse, Thomas Hartvigsen, Brian Anthony, Lizhou Fan, Hugo J. W. L. Aerts, Jack Gallifant, Danielle S. Bitterman

CoRR, 2024

A Comprehensive Survey of Accelerated Generation Techniques in Large Language Models.

Mahsa Khoshnoodi, Vinija Jain, Mingye Gao, Malavika Srikanth, Aman Chadha

CoRR, 2024

Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias.

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning.

Tianhua Zhang, Jiaxin Ge, Hongyin Luo, Yung-Sung Chuang, Mingye Gao, Yuan Gong, Yoon Kim, Xixin Wu, Helen Meng, Jim Glass

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

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

2022

Cooperative Self-training of Machine Reading Comprehension.

Hongyin Luo, Shang-Wen Li, Mingye Gao, Seunghak Yu, James R. Glass

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

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

CoRR, 2021