大模型推理能力

Error Reflection Prompting: Can Large Language Models Successfully Understand Errors?

Jason Li, Lauren Yraola, Kevin Zhu, Sean O'Brien

机构 * Algoverse AI Research（Algoverse AI 研究所） 纠错

专题命中 复杂问题求解 ：reasoning(abstract)；chain-of-thought(abstract)；CoT(abstract)；分类 cs.CL

Comments Accepted to Insights @ NAACL 2025

Self-Correcting Code Generation Using Small Language Models

Jeonghun Cho, Deokhyung Kang, Hyounghun Kim, Gary Geunbae Lee

机构 * Graduate School of Artificial Intelligence, POSTECH（人工智能研究生院，POSTECH） ； Department of Computer Science and Engineering, POSTECH（计算机科学与工程系，POSTECH） 纠错

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

Comments Accepted at EMNLP 2025 (Findings, long paper)

Disentangling Exploration of Large Language Models by Optimal Exploitation

Tim Grams, Patrick Betz, Sascha Marton, Stefan Lüdtke, Christian Bartelt

机构 * Technical University of Clausthal（Clausthal 技术大学） ； University of Mannheim（曼海姆大学） ； University of Rostock（罗斯托克大学） 纠错

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

Omne-R1: Learning to Reason with Memory for Multi-hop Question Answering

Boyuan Liu, Feng Ji, Jiayan Nan, Han Zhao, Weiling Chen, Shihao Xu, Xing Zhou

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

Test-time Corpus Feedback: From Retrieval to RAG

Mandeep Rathee, V Venktesh, Sean MacAvaney, Avishek Anand

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

Comments 18 pages, 1 figure

TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-Synthesis

Feng Tian, Flora D. Salim, Hao Xue

机构 * The University of New South Wales（新南威尔士大学） ； University of New South Wales（新南威尔士大学） 纠错

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

EGOILLUSION: Benchmarking Hallucinations in Egocentric Video Understanding

Ashish Seth, Utkarsh Tyagi, Ramaneswaran Selvakumar, Nishit Anand, Sonal Kumar, Sreyan Ghosh, Ramani Duraiswami, Chirag Agarwal, Dinesh Manocha

机构 * University of Maryland, College Park（马里兰大学学院公园分校） ； University of Virginia（弗吉尼亚大学） 纠错

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

AutoMisty: A Multi-Agent LLM Framework for Automated Code Generation in the Misty Social Robot

Xiao Wang, Lu Dong, Sahana Rangasrinivasan, Ifeoma Nwogu, Srirangaraj Setlur, Venugopal Govindaraju

机构 * State University of New York at Buffalo（纽约州立大学布法罗分校） ； Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham（计算机科学与工程系，阿米特拉学校 computing，阿米特拉世界大学） 纠错

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

Comments Accepted by IROS 2025