大模型推理能力

You Need Reasoning to Learn Reasoning: The Limitations of Label-Free RL in Weak Base Models

Shuvendu Roy, Hossein Hajimirsadeghi, Mengyao Zhai, Golnoosh Samei

机构 * Sea AI Lab（海思人工智能实验室） ； National University of Singapore（新加坡国立大学） ； Singapore Management University（新加坡管理学院） 纠错

专题命中 复杂问题求解 ：reasoning(title,abstract)；chain-of-thought(abstract)；分类 cs.AI、cs.LG

Comments 39th Conference on Neural Information Processing Systems (NeurIPS 2025) Workshop: MATH-AI

Graph Learning

Feng Xia, Ciyuan Peng, Jing Ren, Falih Gozi Febrinanto, Renqiang Luo, Vidya Saikrishna, Shuo Yu, Xiangjie Kong

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.AI、cs.LG

Comments 185 pages

Journal ref Foundations and Trends in Signal Processing, Vol. 19, No. 4, pp 371-551. 2025

Reflective Personalization Optimization: A Post-hoc Rewriting Framework for Black-Box Large Language Models

Teqi Hao, Xioayu Tan, Shaojie Shi, Yinghui Xu, Xihe Qiu

机构 * School of Electronic and Electrical Engineering, Shanghai University of Engineering Science（上海工程技术大学电子与电气工程学院） ； Tencent Youtu Lab（腾讯优图实验室） ； Artificial Intelligence Innovation and Incubation Institute, Fudan University（复旦大学人工智能创新与孵化院） 纠错

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL

Query Generation Pipeline with Enhanced Answerability Assessment for Financial Information Retrieval

Hyunkyu Kim, Yeeun Yoo, Youngjun Kwak

机构 * Kakaobank Seongnam-si Republic of Korea（韩国首尔市韩国 Kakao银行） 纠错

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.AI

Comments Accepted(Oral) by ICAIF 2025. Hyunkyu Kim and Yeeun Yoo contributed equally to this work