语言大模型 / LLM

Select-Then-Decompose: From Empirical Analysis to Adaptive Selection Strategy for Task Decomposition in Large Language Models

Shuodi Liu, Yingzhuo Liu, Zi Wang, Yusheng Wang, Huijia Wu, Liuyu Xiang, Zhaofeng He

机构 * Beijing University of Posts and Telecommunications（北京邮电大学） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI

Comments Accepted to the Main Conference of EMNLP 2025 (Oral)

KG-TRACES: Enhancing Large Language Models with Knowledge Graph-constrained Trajectory Reasoning and Attribution Supervision

Rong Wu, Pinlong Cai, Jianbiao Mei, Licheng Wen, Tao Hu, Xuemeng Yang, Daocheng Fu, Botian Shi

机构 * Zhejiang University（浙江大学） ； Shanghai Artificial Intelligence Laboratory（上海人工智能实验室） ； University of Science and Technology of China（中国科学技术大学） ； Fudan University（复旦大学） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI

Comments 24 pages, 13 figures

Finding Answers in Thought Matters: Revisiting Evaluation on Large Language Models with Reasoning

Hwiyeol Jo, Joosung Lee, Jaehone Lee, Sang-Woo Lee, Joonsuk Park, Kang Min Yoo

机构 * NAVER Cloud（NAVER云） ； Neurofusion ； University of Richmond（里奇蒙大学） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI

Comments ARR Submitted

Discovering and Reasoning of Causality in the Hidden World with Large Language Models

Chenxi Liu, Yongqiang Chen, Tongliang Liu, Mingming Gong, James Cheng, Bo Han, Kun Zhang

机构 * TMLR Group, Hong Kong Baptist University（香港 Baptist 大学 TMLR 组） ； Mohamed bin Zayed University of Artificial Intelligence（Mohamed bin Zayed 人工智能大学） ； Department of Philosophy, Carnegie Mellon University（哲学系，卡内基梅隆大学） ； School of Computer Science, The University of Sydney（悉尼大学计算机科学学院） ； School of Mathematics and Statistics, The University of Melbourne（墨尔本大学数学与统计学学院） ； The Chinese University of Hong Kong（香港中文大学） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.AI、cs.LG

Comments Extended version of our previous NeurIPS'24 conference paper (arXiv:2402.03941(2)); Chenxi and Yongqiang contributed equally; 78 pages, 44 figures; Project page: https://causalcoat.github.io/discovering-and-reasoning

The Idola Tribus of AI: Large Language Models tend to perceive order where none exists

Shin-nosuke Ishikawa, Masato Todo, Taiki Ogihara, Hirotsugu Ohba

机构 * Graduate School of Artificial Intelligence and Science, Rikkyo University（人工智能与科学研究生院，立命馆大学） ； Strategic Digital Business Unit, Mamezou Co., Ltd.（战略数字商务部，麦迈株式会社） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI

Comments 14 pages, 3 figures, accepted to Findings of EMNLP 2025

Active Confusion Expression in Large Language Models: Leveraging World Models toward Better Social Reasoning

Jialu Du, Guiyang Hou, Yihui Fu, Chen Wu, Wenqi Zhang, Yongliang Shen, Weiming Lu

机构 * Zhejiang University（浙江大学） ； Northwest University（西北大学） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI

Comments 15 pages, 10 figures

AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking in Large Language Models

Xiangqi Wang, Yue Huang, Yanbo Wang, Xiaonan Luo, Kehan Guo, Yujun Zhou, Xiangliang Zhang

机构 * University of Notre Dame（诺丁汉大学） ； MBZUAI（穆桑人工智能研究所） 纠错

专题命中 推理与问题求解 ：large language model(title)；language model(title)；LLM(abstract)；prompting(abstract)

Reasoning Large Language Model Errors Arise from Hallucinating Critical Problem Features

Alex Heyman, Joel Zylberberg

机构 * Department of Electrical Engineering and Computer Science（电气工程与计算机科学系） ； York University（约克大学） ； Jules Stein Eye Institute（朱利斯·斯坦眼科研究所） ； University of California（加州大学） ； University of California Los Angeles（加州大学洛杉矶分校） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.AI、cs.LG

Comments 19 pages (9 excluding references and appendices); 9 figures (6 excluding appendices)

REMA: A Unified Reasoning Manifold Framework for Interpreting Large Language Model

Bo Li, Guanzhi Deng, Ronghao Chen, Junrong Yue, Shuo Zhang, Qinghua Zhao, Linqi Song, Lijie Wen

机构 * Tsinghua University（清华大学） ； City University of Hong Kong（香港城市大学） ； Peking University（北京大学） ； Beijing University of Posts and Telecommunications（北京邮电大学） ； Beihang University（北航） ； Baidu Inc（百度公司） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.AI、cs.LG

Thinking in Many Modes: How Composite Reasoning Elevates Large Language Model Performance with Limited Data

Zishan Ahmad, Saisubramaniam Gopalakrishnan

机构 * PhiLabs ； Quantiphi Inc（Quantiphi公司） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI

Comments 7 pages, 3 figures

Steering Multimodal Large Language Models Decoding for Context-Aware Safety

Zheyuan Liu, Zhangchen Xu, Guangyao Dou, Xiangchi Yuan, Zhaoxuan Tan, Radha Poovendran, Meng Jiang

机构 * University of Notre Dame（notre dame 大学） ； University of Washington（华盛顿大学） ； Johns Hopkins University（约翰霍普金斯大学） ； Georgia Institute of Technology（佐治亚理工学院） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI

Comments A lightweight and model-agnostic decoding framework that dynamically adjusts token generation based on multimodal context

Gödel Test: Can Large Language Models Solve Easy Conjectures?

Moran Feldman, Amin Karbasi

机构 * University of Haifa（海法大学） ； Cisco Foundation AI（思科基础人工智能） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.AI、cs.LG

How Much Do Large Language Models Know about Human Motion? A Case Study in 3D Avatar Control

Kunhang Li, Jason Naradowsky, Yansong Feng, Yusuke Miyao

机构 * The University of Tokyo（东京大学） ； Peking University（北京大学） ； NII LLMC（日本信息机构大语言模型中心） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI

Meta-Reasoning Improves Tool Use in Large Language Models

Lisa Alazraki, Marek Rei

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

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI

Comments NAACL 2025 Findings

How Large Language Models are Designed to Hallucinate

Richard Ackermann, Simeon Emanuilov

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI

Comments 23 pages, 2 tables, 2 figures

Out-of-Context Reasoning in Large Language Models

Jonathan Shaki, Emanuele La Malfa, Michael Wooldridge, Sarit Kraus

机构 * Bar-Ilan University（巴伊兰大学） ； University of Oxford（牛津大学） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.LG

All Roads Lead to Rome: Graph-Based Confidence Estimation for Large Language Model Reasoning

Caiqi Zhang, Chang Shu, Ehsan Shareghi, Nigel Collier

机构 * University of Cambridge（剑桥大学） ； Monash University（墨尔本大学） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI

Comments EMNLP 2025 Main

Intelligent Reservoir Decision Support: An Integrated Framework Combining Large Language Models, Advanced Prompt Engineering, and Multimodal Data Fusion for Real-Time Petroleum Operations

Seyed Kourosh Mahjour, Seyed Saman Mahjour

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.AI、cs.LG

FairCoT: Enhancing Fairness in Text-to-Image Generation via Chain of Thought Reasoning with Multimodal Large Language Models

Zahraa Al Sahili, Ioannis Patras, Matthew Purver

机构 * School of Electronic Engineering and Computer Science, Queen Mary University of London（伦敦女王学院电子工程与计算机科学学院） ； Department of Knowledge Technologies, Jožef Stefan Institute（Jožef Stefan研究所知识技术系） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.AI、cs.LG

Comments Accepted at EMNLP 2025

Using Contrastive Learning to Improve Two-Way Reasoning in Large Language Models: The Obfuscation Task as a Case Study

Serge Lionel Nikiema, Jordan Samhi, Micheline Bénédicte Moumoula, Albérick Euraste Djiré, Abdoul Kader Kaboré, Jacques Klein, Tegawendé F. Bissyandé

机构 * University of Luxembourg（卢森堡大学） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models

Yanbo Wang, Yongcan Yu, Jian Liang, Ran He

机构 * School of Artificial Intelligence, University of Chinese Academy of Sciences（人工智能学院，中国科学院大学） ； NLPR & MAIS, Institute of Automation, Chinese Academy of Sciences（神经语言处理与机器智能中心，中国科学院自动化研究所） 纠错

专题命中 推理与问题求解 ：language model(title,abstract)；large language model(title)；LLM(abstract)；分类 cs.CL、cs.AI

Comments 38 pages. This survey considers papers published up to June 30, 2025. Work in progress

Extracting OPQRST in Electronic Health Records using Large Language Models with Reasoning

Zhimeng Luo, Abhibha Gupta, Adam Frisch, Daqing He

机构 * School of Computing and Information University of Pittsburgh（计算与信息学院 西弗吉尼亚大学） ； Department of Emergency Medicine University of Pittsburgh（急诊医学系 西弗吉尼亚大学） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI

GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, Oncel Tuzel, Samy Bengio, Mehrdad Farajtabar

机构 * Apple（苹果公司） ； Washington State University（华盛顿州立大学） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.AI、cs.LG

Comments ICLR camera ready + additional discussion in the appendix

Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models

Chen Han, Wenzhen Zheng, Xijin Tang

机构 * School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences（中国科学院大学先进交叉学科学院） ； State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences（中国科学院数学与系统科学研究院） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI

Comments This paper has been accepted to EMNLP 2025 (Main Conference)

Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation

Jun Zhuang, Haibo Jin, Ye Zhang, Zhengjian Kang, Wenbin Zhang, Gaby G. Dagher, Haohan Wang

机构 * Boise State University（博伊州立大学） ； University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； University of Pittsburgh（匹兹堡大学） ； New York University（纽约大学） ； Florida International University（佛罗里达国际大学） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI

Comments Accepted for EMNLP'25 Findings. TL;DR: We propose a new two-stage intent-based prompt-refinement framework, IntentPrompt, that aims to explore the vulnerability of LLMs' content moderation guardrails by refining prompts into benign-looking declarative forms via intent manipulation for red-teaming purposes

Assessing Consciousness-Related Behaviors in Large Language Models Using the Maze Test

Rui A. Pimenta, Tim Schlippe, Kristina Schaaff

机构 * IU International University of Applied Sciences Germany（国际应用科学大学） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI

EmoVoice: LLM-based Emotional Text-To-Speech Model with Freestyle Text Prompting

Guanrou Yang, Chen Yang, Qian Chen, Ziyang Ma, Wenxi Chen, Wen Wang, Tianrui Wang, Yifan Yang, Zhikang Niu, Wenrui Liu, Fan Yu, Zhihao Du, Zhifu Gao, ShiLiang Zhang, Xie Chen

机构 * Shanghai Jiao Tong University（上海交通大学） ； Tongyi Speech Lab（通义语音实验室） ； Tianjin University（天津大学） ； Zhejiang University（浙江大学） ； Shanghai Jiao Tong University, Shanghai Innovation Institute（上海交通大学上海创新研究院） 纠错

专题命中 推理与问题求解 ：LLM(title)；prompting(title)；large language model(abstract)；language model(abstract)

Comments Accepted at ACMMM 2025

A Few Words Can Distort Graphs: Knowledge Poisoning Attacks on Graph-based Retrieval-Augmented Generation of Large Language Models

Jiayi Wen, Tianxin Chen, Zhirun Zheng, Cheng Huang

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI

An analysis of AI Decision under Risk: Prospect theory emerges in Large Language Models

Kenneth Payne

机构 * King’s College London（伦敦国王学院） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI

Comments 26 pages, 2 figures, 9 tables, 2 appendices

UloRL:An Ultra-Long Output Reinforcement Learning Approach for Advancing Large Language Models' Reasoning Abilities

Dong Du, Shulin Liu, Tao Yang, Shaohua Chen, Yang Li

机构 * Tencent Hunyuan Team（腾讯文言团队） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI

Comments 12 pages