大模型推理能力

RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models

Zhaoyan Gong, Juan Li, Zhiqiang Liu, Lei Liang, Huajun Chen, Wen Zhang

机构 * Zhejiang University（浙江大学） ； Ant Group（蚂蚁集团） ； ZJU-Ant Group Joint Lab of Knowledge Graph（浙江大学-蚂蚁集团知识图谱联合实验室） 纠错

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

Comments EMNLP 2025

R-4B: Incentivizing General-Purpose Auto-Thinking Capability in MLLMs via Bi-Mode Annealing and Reinforce Learning

Qi Yang, Bolin Ni, Shiming Xiang, Han Hu, Houwen Peng, Jie Jiang

机构 * Tencent Hunyuan Team（腾讯文言团队） ； Institute of Automation, CAS（中国科学院自动化研究所） 纠错

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

Comments 20 pages, 14 figures, 5 tables

MetaAgent: Toward Self-Evolving Agent via Tool Meta-Learning

Hongjin Qian, Zheng Liu

机构 * BAAI（北京人工智能研究院） 纠错

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

Comments Technical Report, 14 pages

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need

Bhishma Dedhia, Yuval Kansal, Niraj K. Jha

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

Multimodal LLMs Can Reason about Aesthetics in Zero-Shot

Ruixiang Jiang, Changwen Chen

机构 * The Hong Kong Polytechnic University（香港理工大学） 纠错

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

Comments ACM MM 2025 Camera Ready

Efficient Graph Understanding with LLMs via Structured Context Injection

Govind Waghmare, Sumedh BG, Sonia Gupta, Srikanta Bedathur

机构 * Indian Institute of Technology, Delhi（印度理工学院德里分校） 纠错

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

Open Data Synthesis For Deep Research

Ziyi Xia, Kun Luo, Hongjin Qian, Zheng Liu

机构 * BAAI（北京人工智能研究院） 纠错

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

General Table Question Answering via Answer-Formula Joint Generation

Zhongyuan Wang, Richong Zhang, Zhijie Nie, Hangyu Mao

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

Comments work in progress

Automating the Deep Space Network Data Systems; A Case Study in Adaptive Anomaly Detection through Agentic AI

Evan J. Chou, Lisa S. Locke, Harvey M. Soldan

专题命中 复杂问题求解 ：reasoning(abstract)；分类 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

CRISPR-GPT for Agentic Automation of Gene-editing Experiments

Yuanhao Qu, Kaixuan Huang, Ming Yin, Kanghong Zhan, Dyllan Liu, Di Yin, Henry C. Cousins, William A. Johnson, Xiaotong Wang, Mihir Shah, Russ B. Altman, Denny Zhou, Mengdi Wang, Le Cong

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

Comments Accepted to Nature Biomedical Engineering

Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources

Alisia Lupidi, Carlos Gemmell, Nicola Cancedda, Jane Dwivedi-Yu, Jason Weston, Jakob Foerster, Roberta Raileanu, Maria Lomeli

机构 * Meta Superintelligence labs（Meta超智能实验室） ； University of Oxford（牛津大学） 纠错

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

LEGO-GraphRAG: Modularizing Graph-based Retrieval-Augmented Generation for Design Space Exploration

Yukun Cao, Zengyi Gao, Zhiyang Li, Xike Xie, S. Kevin Zhou, Jianliang Xu

机构 * University of Science and Technology of China（中国科学技术大学） ； Hong Kong Baptist University（香港 Baptist 大学） 纠错

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

Comments VLDB'2025 [Experiment, Analysis & Benchmark]

Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL

Weizhen Li, Jianbo Lin, Zhuosong Jiang, Jingyi Cao, Xinpeng Liu, Jiayu Zhang, Zhenqiang Huang, Qianben Chen, Weichen Sun, Qiexiang Wang, Hongxuan Lu, Tianrui Qin, Chenghao Zhu, Yi Yao, Shuying Fan, Xiaowan Li, Tiannan Wang, Pai Liu, King Zhu, He Zhu, Dingfeng Shi, Piaohong Wang, Yeyi Guan, Xiangru Tang, Minghao Liu, Yuchen Eleanor Jiang, Jian Yang, Jiaheng Liu, Ge Zhang, Wangchunshu Zhou

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

Comments 51 pages

Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs

Kanishk Gandhi, Ayush Chakravarthy, Anikait Singh, Nathan Lile, Noah D. Goodman

机构 * Stanford University（斯坦福大学） ； SynthLabs 纠错

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

RealAC: A Domain-Agnostic Framework for Realistic and Actionable Counterfactual Explanations

Asiful Arefeen, Shovito Barua Soumma, Hassan Ghasemzadeh

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

TextQuests: How Good are LLMs at Text-Based Video Games?

Long Phan, Mantas Mazeika, Andy Zou, Dan Hendrycks

机构 * Center for AI Safety（人工智能安全中心） ； Carnegie Mellon University（卡内基梅隆大学） ； Gray Swan AI（灰天鹅AI） 纠错

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

Adoption of Explainable Natural Language Processing: Perspectives from Industry and Academia on Practices and Challenges

Mahdi Dhaini, Tobias Müller, Roksoliana Rabets, Gjergji Kasneci

机构 * Mahdi Dhaini（独立研究者） ； Tobias Müller（独立研究者） ； Roksoliana Rabets（独立研究者） ； Gjergji Kasneci（独立研究者） 纠错

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

Comments Accepted to AAAI/ACM Conference on AI, Ethics, and Society (AIES 2025)

LLM driven Text-to-Table Generation through Sub-Tasks Guidance and Iterative Refinement

Rajmohan C, Sarthak Harne, Arvind Agarwal

机构 * IBM Research（IBM研究院） ； IIIT-Bangalore（班加罗尔印度理工学院） 纠错

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

FEAT: A Multi-Agent Forensic AI System with Domain-Adapted Large Language Model for Automated Cause-of-Death Analysis

Chen Shen, Wanqing Zhang, Kehan Li, Erwen Huang, Haitao Bi, Aiying Fan, Yiwen Shen, Hongmei Dong, Ji Zhang, Yuming Shao, Zengjia Liu, Xinshe Liu, Tao Li, Chunxia Yan, Shuanliang Fan, Di Wu, Jianhua Ma, Bin Cong, Zhenyuan Wang, Chunfeng Lian

机构 * Key Laboratory of National Ministry of Health for Forensic Sciences, School of Medicine \& Forensics, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China ； School of Mathematics ； Statistics, Xi'an Jiaotong University, Xi'an, Shaanxi 710149, China ； Hebei Key Laboratory of Forensic Medicine, College of Forensic Medicine, Hebei Medical University, Shijiazhuang, Hebei 050017, China ； Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science ； Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China ； Faculty of Forensic Medicine, Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, Guangdong 510080, China ； Department of Forensic Medicine, Xinxiang Medical University, Xinxiang, Henan 453003, China ； Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China ； Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science ； Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai 200063, China ； School of Forensic Medicine of Jining Medical University, Jining, Shandong 272067, China 纠错

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

Comments 18pages, 6 figures

LLM-based Agents for Automated Confounder Discovery and Subgroup Analysis in Causal Inference

Po-Han Lee, Yu-Cheng Lin, Chan-Tung Ku, Chan Hsu, Pei-Cing Huang, Ping-Hsun Wu, Yihuang Kang

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

A Framework for Inherently Safer AGI through Language-Mediated Active Inference

Bo Wen

机构 * IBM T.J. Watson Research Center（IBM T.J. Watson研究院） 纠错

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

HySemRAG: A Hybrid Semantic Retrieval-Augmented Generation Framework for Automated Literature Synthesis and Methodological Gap Analysis

Alejandro Godinez

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

Comments 47 pages, 10 figures. Code: https://github.com/agodinezmm2007/docling_mod. Demo: https://youtu.be/ZCy5ESJ1gVE?si=K8CttwgTj7yGrWjn. ETL+multi-agent RAG framework for literature synthesis, 35.1% improvement over PDF chunking. Real application: reduced 17,400 papers to 24 relevant ones (99.86%) in 10 minutes for wastewater epidemiology review

Show, Don't Tell: Uncovering Implicit Character Portrayal using LLMs

Brandon Jaipersaud, Zining Zhu, Frank Rudzicz, Elliot Creager

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

Journal ref NeurIPS 2024 Creativity and Generative AI Workshop

GeoFlow: Agentic Workflow Automation for Geospatial Tasks

Amulya Bhattaram, Justin Chung, Stanley Chung, Ranit Gupta, Janani Ramamoorthy, Kartikeya Gullapalli, Diana Marculescu, Dimitrios Stamoulis

机构 * The University of Texas at Austin（德克萨斯大学奥斯汀分校） 纠错

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

Comments Accepted to ACM SIGSPATIAL 2025

Polymath: A Self-Optimizing Agent with Dynamic Hierarchical Workflow

Chia-Tung Ho, Jing Gong, Xufeng Yao, Yunsheng Bai, Abhishek B Akkur, Haoxing Ren

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

Comments 18 pages, 12 figures, under review for AAAI2026

Eliciting and Analyzing Emergent Misalignment in State-of-the-Art Large Language Models

Siddhant Panpatil, Hiskias Dingeto, Haon Park

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

ASTRA: Autonomous Spatial-Temporal Red-teaming for AI Software Assistants

Xiangzhe Xu, Guangyu Shen, Zian Su, Siyuan Cheng, Hanxi Guo, Lu Yan, Xuan Chen, Jiasheng Jiang, Xiaolong Jin, Chengpeng Wang, Zhuo Zhang, Xiangyu Zhang

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

Comments The first two authors (Xiangzhe Xu and Guangyu Shen) contributed equally to this work

Toward Verifiable Misinformation Detection: A Multi-Tool LLM Agent Framework

Zikun Cui, Tianyi Huang, Chia-En Chiang, Cuiqianhe Du

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