ICML

Don't Think Twice! Over-Reasoning Impairs Confidence Calibration

Romain Lacombe, Kerrie Wu, Eddie Dilworth

机构 * Stanford University（斯坦福大学） 纠错

Comments Published at ICML 2025 Workshop on Reliable and Responsible Foundation Models

Generation of structure-guided pMHC-I libraries using Diffusion Models

Sergio Mares, Ariel Espinoza Weinberger, Nilah M. Ioannidis

机构 * Center for Computational Biology, University of California, Berkeley, Berkeley, California, USA（计算生物学中心，加州大学伯克利分校） ； Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, California, USA（电气工程与计算机科学系，加州大学伯克利分校） 纠错

Comments Accepted to the The 2nd Workshop on Generative AI and Biology ICML Workshop 2025

Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding

Jiajun Zhu, Peihao Wang, Ruisi Cai, Jason D. Lee, Pan Li, Zhangyang Wang

机构 * University of Texas at Austin（德克萨斯大学奥斯汀分校） ； Zhejiang University（浙江大学） ； Princeton University（普林斯顿大学） 纠错

Comments ICML 2025

Democratic AI is Possible. The Democracy Levels Framework Shows How It Might Work

Aviv Ovadya, Kyle Redman, Luke Thorburn, Quan Ze Chen, Oliver Smith, Flynn Devine, Andrew Konya, Smitha Milli, Manon Revel, K. J. Kevin Feng, Amy X. Zhang, Bilva Chandra, Michiel A. Bakker, Atoosa Kasirzadeh

Comments 31 pages. Accepted to the position paper track at ICML 2025. A previous version was presented at the Pluralistic Alignment Workshop at NeurIPS 2024. For ongoing work, see: https://democracylevels.org