大模型推理能力

Read Your Own Mind: Reasoning Helps Surface Self-Confidence Signals in LLMs

Jakub Podolak, Rajeev Verma

机构 * University of Amsterdam（阿姆斯特丹大学） 纠错

专题命中 测试时计算 ：reasoning(title,abstract)；chain-of-thought(abstract)；test-time compute(abstract)；分类 cs.CL

Comments Presented at UncertaiNLP Workshop at EMNLP 2025 https://aclanthology.org/2025.uncertainlp-main.21.pdf

Journal ref UncertaiNLP Workshop at Empirical Methods in Natural Language Processing 2025 (EMNLP 2025)

PhysicsEval: Inference-Time Techniques to Improve the Reasoning Proficiency of Large Language Models on Physics Problems

Oshayer Siddique, J. M Areeb Uzair Alam, Md Jobayer Rahman Rafy, Syed Rifat Raiyan, Hasan Mahmud, Md Kamrul Hasan

机构 * Systems and Software Lab (SSL) Department of Computer Science and Engineering（系统与软件实验室（SSL）计算机科学与工程系） 纠错

专题命中 测试时计算 ：reasoning(title,abstract)；分类 cs.CL、cs.AI

Comments Accepted in Findings of the Association for Computational Linguistics: IJCNLP-AACL 2025, 23 pages, 4 figures, 8 tables

Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off

Seungyong Lee, Jeong-gi Kwak

机构 * NXN Labs（NXN实验室） ； University of British Columbia（不列颠哥伦比亚大学） 纠错

专题命中 测试时计算 ：reasoning(abstract)；分类 cs.AI、cs.LG

Comments Accepted to SIGGRAPH Asia 2025, project page: https://nxnai.github.io/Voost/

Towards Scalable Web Accessibility Audit with MLLMs as Copilots

Ming Gu, Ziwei Wang, Sicen Lai, Zirui Gao, Sheng Zhou, Jiajun Bu

专题命中 测试时计算 ：reasoning(abstract)；分类 cs.AI

Comments 15 pages. Accepted by AAAI 2026 AISI

Inference-Time Reward Hacking in Large Language Models

Hadi Khalaf, Claudio Mayrink Verdun, Alex Oesterling, Himabindu Lakkaraju, Flavio du Pin Calmon

机构 * Harvard University（哈佛大学） 纠错

专题命中 测试时计算 ：reasoning(abstract)；分类 cs.LG

Comments Accepted to NeurIPS 2025 (Spotlight Paper)

Verdict: A Library for Scaling Judge-Time Compute

Nimit Kalra, Leonard Tang

机构 * Haize Labs（Haize实验室） 纠错

专题命中 测试时计算 ：reasoning(abstract)；分类 cs.CL