Chen, Shan

6 publications

NeurIPS 2025 KScope: A Framework for Characterizing the Knowledge Status of Language Models Yuxin Xiao, Shan Chen, Jack Gallifant, Danielle Bitterman, Thomas Hartvigsen, Marzyeh Ghassemi

NeurIPS 2025 Measuring the Faithfulness of Thinking Drafts in Large Reasoning Models Zidi Xiong, Shan Chen, Zhenting Qi, Himabindu Lakkaraju

NeurIPSW 2024 ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction? Canyu Chen, Jian Yu, Shan Chen, Che Liu, Zhongwei Wan, Danielle Bitterman, Fei Wang, Kai Shu

NeurIPS 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 Aerts, Brian Anthony, Leo Anthony Celi, William G. La Cava, Danielle S. Bitterman

NeurIPSW 2024 Position Paper on Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-Test Probability Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A Miller, Danielle Bitterman, Guanhua Chen, Anoop Mayampurath, Matthew Churpek, Majid Afshar

ICML 2020 Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai