ICLR

Evaluating LLMs Without Oracle Feedback: Agentic Annotation Evaluation Through Unsupervised Consistency Signals

Cheng Chen, Haiyan Yin, Ivor Tsang

机构 * Australian Artificial Intelligence Institute (AAII), University of Technology Sydney, Australia（澳大利亚人工智能研究所（AAII）、悉尼技术大学） ； Centre for Frontier AI Research, Institute of High Performance Computing（前沿人工智能研究中心、高性能计算研究所） ； Agency for Science, Technology and Research, Singapore（科技研究局（新加坡）） ； College of Computing and Data Science, Nanyang Technological University, Singapore（计算与数据科学学院、南洋理工大学） 纠错

Comments 11 pages, 10 figures

Journal ref Published ICLR 2025 Workshop on Scaling Self-Improving Foundation Models without Human Supervision

DEQuify your force field: More efficient simulations using deep equilibrium models

Andreas Burger, Luca Thiede, Alán Aspuru-Guzik, Nandita Vijaykumar

机构 * University of Toronto（多伦多大学） ； Vector Institute（向量研究所） ； Acceleration Consortium（加速联盟） ； NVIDIA（英伟达） 纠错

Comments AI4MAT-ICLR-2025 Spotlight https://openreview.net/forum?id=XACVRYePQQ

PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation

Pablo Lemos, Sammy Sharief, Nikolay Malkin, Salma Salhi, Connor Stone, Laurence Perreault-Levasseur, Yashar Hezaveh

机构 * Mila – Québec Artificial Intelligence Institute（魁北克人工智能研究所） ； Ciela Institute（Ciela研究所） ； Université de Montréal（蒙特利尔大学） ； SanboxAQ ； CCA – Flatiron Institute（CCA-Flatiron研究所） ； University of Edinburgh（爱丁堡大学） ； Trottier Space Institute（特罗特里尔空间研究所） 纠错

Comments Published as a conference paper at ICLR 2025

Calibrating Transformers via Sparse Gaussian Processes

Wenlong Chen, Yingzhen Li

机构 * Imperial College London（伦敦帝国学院） 纠错

Comments Published at The Eleventh International Conference on Learning Representations (ICLR 2023). ECE updated, typo fixed

How Far Are We from True Unlearnability?

Kai Ye, Liangcai Su, Chenxiong Qian

机构 * The University of Hong Kong（香港大学） 纠错

Comments This paper has been accepted by ICLR 2025

Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models

Ce Zhang, Zifu Wan, Zhehan Kan, Martin Q. Ma, Simon Stepputtis, Deva Ramanan, Russ Salakhutdinov, Louis-Philippe Morency, Katia Sycara, Yaqi Xie

机构 * School of Computer Science, Carnegie Mellon University（计算机科学系，卡内基梅隆大学） 纠错

Comments Accepted by ICLR 2025. Project page: https://zhangce01.github.io/DeGF/