大模型推理能力

PRIME: Planning and Retrieval-Integrated Memory for Enhanced Reasoning

Hieu Tran, Zonghai Yao, Nguyen Luong Tran, Zhichao Yang, Feiyun Ouyang, Shuo Han, Razieh Rahimi, Hong Yu

机构 * Center for Healthcare Organization and Implementation Research, VA Bedford Health Care（VA Bedford Health Care 医疗组织与实施研究中心） ； Manning College of Information and Computer Sciences, University of Massachusetts Amherst（马萨诸塞大学阿默斯特分校信息与计算机科学学院） ； Miner School of Computer and Information Sciences, University of Massachusetts Lowell（马萨诸塞大学洛厄尔分校 Miner 信息与计算机科学学院） 纠错

专题命中 规划推理 ：reasoning(title,abstract)；planning(title,abstract)；分类 cs.CL、cs.AI

Comments Proceedings of AAAI 2026

DynaAct: Large Language Model Reasoning with Dynamic Action Spaces

Xueliang Zhao, Wei Wu, Jian Guan, Qintong Li, Lingpeng Kong

机构 * The University of Hong Kong（香港大学） ； Ant Group（蚂蚁集团） 纠错

专题命中 规划推理 ：reasoning(title,abstract)；分类 cs.CL、cs.LG

Comments Accepted to NeurIPS 2025

ControlMed: Adding Reasoning Control to Medical Language Model

Sung-Min Lee, Siyoon Lee, Juyeon Kim, Kyoungmin Roh

专题命中 规划推理 ：reasoning(title,abstract)；分类 cs.CL

Comments IJCNLP-AACL 2025

Knowledge-Guided Textual Reasoning for Explainable Video Anomaly Detection via LLMs

Hari Lee

机构 * Hari Lee 纠错

专题命中 规划推理 ：reasoning(title,abstract)；分类 cs.AI

LLM-GROP: Visually Grounded Robot Task and Motion Planning with Large Language Models

Xiaohan Zhang, Yan Ding, Yohei Hayamizu, Zainab Altaweel, Yifeng Zhu, Yuke Zhu, Peter Stone, Chris Paxton, Shiqi Zhang

机构 * The State University of New York at Binghamton（纽约州立大学布林顿分校） ； The University of Texas at Austin（德克萨斯大学奥斯汀分校） ； Sony AI（索尼人工智能） ； Hello Robot（Hello Robot公司） ； Shanghai AI Laboratory（上海人工智能实验室） ； OneStar Robotics（OneStar机器人） 纠错

专题命中 规划推理 ：planning(title,abstract)

Journal ref The International Journal of Robotics Research, 2025, Vol. 0(0), pp. 1-19

VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use

Zhehao Zhang, Ryan Rossi, Tong Yu, Franck Dernoncourt, Ruiyi Zhang, Jiuxiang Gu, Sungchul Kim, Xiang Chen, Zichao Wang, Nedim Lipka

机构 * Adobe 纠错

专题命中 规划推理 ：reasoning(abstract)；planning(abstract)；分类 cs.CL

Comments AAAI 2026

A Cost-Benefit Analysis of On-Premise Large Language Model Deployment: Breaking Even with Commercial LLM Services

Guanzhong Pan, Vishal Chodnekar, Abinas Roy, Haibo Wang

机构 * Carnegie Mellon University（卡内基梅隆大学） 纠错

专题命中 规划推理 ：planning(abstract)；分类 cs.AI、cs.LG

Think Before You Retrieve: Learning Test-Time Adaptive Search with Small Language Models

Supriti Vijay, Aman Priyanshu, Anu Vellore, Baturay Saglam, Amin Karbasi

机构 * Carnegie Mellon University（卡内基梅隆大学） ； Foundation AI–Cisco Systems Inc.（Foundation AI–Cisco 系统公司） ； Yale University（耶鲁大学） 纠错

专题命中 规划推理 ：reasoning(abstract)；分类 cs.CL、cs.AI

Comments 37 images, 7 figures, and 15 tables

From Experience to Strategy: Empowering LLM Agents with Trainable Graph Memory

Siyu Xia, Zekun Xu, Jiajun Chai, Wentian Fan, Yan Song, Xiaohan Wang, Guojun Yin, Wei Lin, Haifeng Zhang, Jun Wang

机构 * Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所） ； School of Artificial Intelligence, University of Chinese Academy of Sciences（中国科学院大学人工智能学院） ； Meituan（美团） ； Nanjing University of Posts and Telecommunications（南京邮电大学） ； AI Centre, Department of Computer Science, University College London（伦敦大学学院计算机科学系人工智能中心） 纠错

专题命中 规划推理 ：reasoning(abstract)；分类 cs.CL

A Negotiation-Based Multi-Agent Reinforcement Learning Approach for Dynamic Scheduling of Reconfigurable Manufacturing Systems

Manonmani Sekar, Nasim Nezamoddini

机构 * Industrial and Systems Engineering Department, Oakland University（奥克兰大学工业与系统工程系） 纠错

专题命中 规划推理 ：planning(abstract)；分类 cs.AI

Procedural Knowledge Improves Agentic LLM Workflows

Vincent Hsiao, Mark Roberts, Leslie Smith

专题命中 规划推理 ：planning(abstract)；分类 cs.AI

Socialized Learning and Emergent Behaviors in Multi-Agent Systems based on Multimodal Large Language Models

Sureyya Akin, Shruti T. Tiwari, Ram Bhattacharya, Sagar A. Raman, Kiran Mohanty, Sita Krishnan

专题命中 规划推理 ：planning(abstract)

Comments We have identified critical issues in the code implementation that severely deviate from Algorithm 1, invalidating all experimental results and conclusions. Despite exhaustive efforts to correct these issues, we find they fundamentally undermine the paper's core claims. To uphold academic integrity and prevent misinformation, we are withdrawing this manuscript