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大模型推理能力

大模型数学、逻辑、规划、多步推理和测试时计算能力。

共收录 45417 信号源:cs.CL, cs.AI, cs.LG

1. 规划推理 11104 篇

2406.11132 2025-02-17 cs.CL cs.AI cs.LG 85%

RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents

Weizhe Chen, Sven Koenig, Bistra Dilkina

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

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2402.06529 2025-02-12 cs.AI cs.CL cs.LG 85%

Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity

Kaiqu Liang, Zixu Zhang, Jaime Fernández Fisac

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

Comments NeurIPS 2024

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2408.17097 2025-01-28 cs.NI 85%

Reasoning AI Performance Degradation in 6G Networks with Large Language Models

Liming Huang, Yulei Wu, Dimitra Simeonidou

专题命中 规划推理 :reasoning(title,abstract);chain-of-thought(abstract);CoT(abstract)

Comments IEEE WCNC 2025

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2501.13936 2025-01-27 cs.AI cs.CL cs.LG 85%

Evaluating Computational Accuracy of Large Language Models in Numerical Reasoning Tasks for Healthcare Applications

Arjun R. Malghan

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

Comments 13 pages, 1 figure, 2 tables

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2405.16510 2024-12-17 cs.AI cs.CL cs.LG 85%

Planning with Multi-Constraints via Collaborative Language Agents

Cong Zhang, Derrick Goh Xin Deik, Dexun Li, Hao Zhang, Yong Liu

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

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2405.09220 2024-11-12 cs.LG cs.AI cs.CL 85%

ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models

Siwei Wang, Yifei Shen, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen

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

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2409.12618 2024-10-02 cs.CL cs.AI cs.LG cs.MA 85%

Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model Reasoning

Santosh Kumar Radha, Yasamin Nouri Jelyani, Ara Ghukasyan, Oktay Goktas

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

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2305.19472 2024-09-19 cs.CL cs.AI cs.LG 85%

PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning

Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona J. Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi

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

Comments ICLR 2024 version , 31 pages

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2409.01806 2024-09-04 cs.AI cs.CL cs.LG 85%

LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning

Haoming Li, Zhaoliang Chen, Jonathan Zhang, Fei Liu

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

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2402.10890 2024-06-07 cs.CL cs.AI cs.LG 85%

When is Tree Search Useful for LLM Planning? It Depends on the Discriminator

Ziru Chen, Michael White, Raymond Mooney, Ali Payani, Yu Su, Huan Sun

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

Comments ACL 2024 main

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2406.01587 2024-06-05 cs.RO 85%

PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning

Yupeng Zheng, Zebin Xing, Qichao Zhang, Bu Jin, Pengfei Li, Yuhang Zheng, Zhongpu Xia, Kun Zhan, Xianpeng Lang, Yaran Chen, Dongbin Zhao

专题命中 规划推理 :planning(title,abstract);reasoning(abstract);chain-of-thought(abstract)

Comments This work has been submitted to the IEEE for possible publication

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2402.02805 2024-06-04 cs.AI cs.CL cs.LG 85%

Graph-enhanced Large Language Models in Asynchronous Plan Reasoning

Fangru Lin, Emanuele La Malfa, Valentin Hofmann, Elle Michelle Yang, Anthony Cohn, Janet B. Pierrehumbert

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

Comments Accepted at ICML-2024

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2404.00450 2024-04-05 cs.CL cs.AI cs.IR cs.LG 85%

Planning and Editing What You Retrieve for Enhanced Tool Learning

Tenghao Huang, Dongwon Jung, Muhao Chen

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

Comments This paper is accepted at NAACL-Findings 2024

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2403.19962 2024-04-01 cs.CL cs.AI cs.LG 85%

Enhancing the General Agent Capabilities of Low-Parameter LLMs through Tuning and Multi-Branch Reasoning

Qinhao Zhou, Zihan Zhang, Xiang Xiang, Ke Wang, Yuchuan Wu, Yongbin Li

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

Comments To appear at NAACL 2024

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2403.01599 2024-03-05 cs.CV cs.AI cs.CL cs.LG 85%

SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos

Yulei Niu, Wenliang Guo, Long Chen, Xudong Lin, Shih-Fu Chang

专题命中 规划推理 :planning(title,abstract);chain-of-thought(abstract);分类 cs.CL、cs.AI、cs.LG

Comments Accepted by ICLR 2024

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2310.01468 2024-02-22 cs.CL cs.AI cs.HC cs.LG 85%

Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games

Yizhe Zhang, Jiarui Lu, Navdeep Jaitly

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

Comments 24 pages

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2311.17842 2023-12-27 cs.RO cs.AI cs.CL cs.CV cs.LG 85%

Look Before You Leap: Unveiling the Power of GPT-4V in Robotic Vision-Language Planning

Yingdong Hu, Fanqi Lin, Tong Zhang, Li Yi, Yang Gao

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

Comments arXiv v2: add appendix

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2312.02179 2023-12-06 cs.LG cs.AI cs.CL 85%

Training Chain-of-Thought via Latent-Variable Inference

Du Phan, Matthew D. Hoffman, David Dohan, Sholto Douglas, Tuan Anh Le, Aaron Parisi, Pavel Sountsov, Charles Sutton, Sharad Vikram, Rif A. Saurous

专题命中 规划推理 :chain-of-thought(title,abstract);CoT(abstract);分类 cs.CL、cs.AI、cs.LG

Comments 23 pages, 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

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2212.10561 2023-05-30 cs.CL cs.AI cs.LG 85%

Parsel: Algorithmic Reasoning with Language Models by Composing Decompositions

Eric Zelikman, Qian Huang, Gabriel Poesia, Noah D. Goodman, Nick Haber

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

Comments humaneval results, clarity

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2210.03629 2023-03-13 cs.CL cs.AI cs.LG 85%

ReAct: Synergizing Reasoning and Acting in Language Models

Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, Yuan Cao

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

Comments v3 is the ICLR camera ready version with some typos fixed. Project site with code: https://react-lm.github.io

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2106.00510 2021-07-01 cs.CL cs.AI cs.LG 85%

CIDER: Commonsense Inference for Dialogue Explanation and Reasoning

Deepanway Ghosal, Pengfei Hong, Siqi Shen, Navonil Majumder, Rada Mihalcea, Soujanya Poria

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

Comments SIGDIAL 2021

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2601.12538 2026-01-21 cs.AI cs.CL 84%

Agentic Reasoning for Large Language Models

大语言模型的代理推理

Tianxin Wei, Ting-Wei Li, Zhining Liu, Xuying Ning, Ze Yang, Jiaru Zou, Zhichen Zeng, Ruizhong Qiu, Xiao Lin, Dongqi Fu, Zihao Li, Mengting Ai, Duo Zhou, Wenxuan Bao, Yunzhe Li, Gaotang Li, Cheng Qian, Yu Wang, Xiangru Tang, Yin Xiao, Liri Fang, Hui Liu, Xianfeng Tang, Yuji Zhang, Chi Wang, Jiaxuan You, Heng Ji, Hanghang Tong, Jingrui He

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

AI总结 本文探讨了大语言模型在开放和动态环境中的代理推理方法,通过三个层次的框架提升单体、自我进化和集体多代理推理能力,并提出了未来研究方向。

Comments Project: https://github.com/weitianxin/Awesome-Agentic-Reasoning

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2502.06258 2025-08-05 cs.CL cs.LG 84%

Emergent Response Planning in LLMs

Zhichen Dong, Zhanhui Zhou, Zhixuan Liu, Chao Yang, Chaochao Lu

机构 * Shanghai Artificial Intelligence Laboratory(上海人工智能实验室)

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

Comments Published at ICML 2025. Code available at: https://github.com/niconi19/Emergent-Response-Planning-in-LLMs

Journal ref Proceedings of the 42nd International Conference on Machine Learning (ICML 2025)

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2412.16533 2024-12-24 cs.MA cs.CL cs.LG 84%

Self-guided Knowledgeable Network of Thoughts: Amplifying Reasoning with Large Language Models

Chao-Chi Chen, Chin-Yuan Yeh, Hsi-Wen Chen, De-Nian Yang, Ming-Syan Chen

专题命中 规划推理 :reasoning(title);CoT(abstract,comments);chain-of-thought(abstract);分类 cs.CL、cs.LG

Comments SOTA result over CoT, ToT, GoT

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2409.19924 2024-10-15 cs.AI cs.LG cs.RO 84%

On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and Generalizability

Kevin Wang, Junbo Li, Neel P. Bhatt, Yihan Xi, Qiang Liu, Ufuk Topcu, Zhangyang Wang

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

Comments Code available at https://github.com/VITA-Group/o1-planning

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2309.08587 2023-09-22 cs.LG cs.AI cs.RO 84%

Compositional Foundation Models for Hierarchical Planning

Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi Jaakkola, Josh Tenenbaum, Leslie Kaelbling, Akash Srivastava, Pulkit Agrawal

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

Comments Website: https://hierarchical-planning-foundation-model.github.io/

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2206.02039 2022-06-09 cs.AI cs.LG 84%

Beyond Value: CHECKLIST for Testing Inferences in Planning-Based RL

Kin-Ho Lam, Delyar Tabatabai, Jed Irvine, Donald Bertucci, Anita Ruangrotsakun, Minsuk Kahng, Alan Fern

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

Comments This work will appear in the Proceedings of the 32nd International Conference on Automated Planning and Scheduling (ICAPS2022) https://icaps22.icaps-conference.org/papers

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2607.11197 2026-07-14 cs.AI 新提交 84%

What We Talk About When We Talk About LLM Planning: Evidence for Two Distinct Planning Abilities

当我们谈论大语言模型规划时我们在谈论什么:两种不同规划能力的证据

Sukai Huang, Chenyuan Zhang, Fucai Ke, Zhixi Cai, Naim Rastgoo, Gholamreza Haffari, Hamid Rezatofighi

机构 * Faculty of Information Technology, Monash University(莫纳什大学信息技术学院)

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

AI总结 研究大语言模型规划任务性能差异原因,通过在ACPBench-Hard上评估多个模型家族,应用多维项目反应理论模型,发现操作推理和结构枚举两个塑造规划性能的维度,推动大语言模型规划的能力层面评估。

Comments 19 pages. Keywords: Reasoning, Automated Planning, Item Responses Theory, LLMs as Planner Research Area: NLP and Symbolic Reasoning Research Area Keywords: neurosymbolic, planning in agents, symbolic reasoning Contribution Types: Model analysis & interpretability

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2605.31062 2026-06-01 cs.CL 84%

AdaptR1: Reinforcement Learning Based Adaptive Interleaved Thinking in Multi-hop Question Answering

AdaptR1:基于强化学习的自适应交错思考在多跳问答中的应用

Yuxin Wang, Jiahao Lu, Qifeng Wu, Shicheng Fang, Chuanyuan Tan, Yining Zheng, Xuanjing Huang, Xipeng Qiu

机构 * Computer Science, Fudan University(复旦大学计算机科学系) Institute of Modern Languages and Linguistics, Fudan University(复旦大学现代语言与语言学研究院) Shanghai Innovation Institute(上海创新研究院) Soochow University(苏州大学)

专题命中 规划推理 :CoT(abstract,abstract_cn);reasoning(abstract);chain-of-thought(abstract);planning(abstract)

AI总结 提出AdaptR1框架,通过强化学习动态分配每步推理预算,减少多跳问答中的过度思考,在保持性能的同时显著降低推理成本。

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2605.30740 2026-06-01 cs.RO cs.AI 84%

GSAM: A Generalizable and Safe Robotic Framework for Articulated Object Manipulation

GSAM: 一种通用且安全的铰接物体操作机器人框架

Beichen Shao, Mengying Xie, Heng Su, Wanyi Zhang, Mingyan Li, Yan Ding, Fausto Giunchiglia, Chao Chen

机构 * College of Computer Science, Chongqing University, Chongqing, China(重庆大学计算机学院) Lumos Robotics, China(Lumos机器人中国) Xi'an Jiaotong-Liverpool University, China(西安交通大学利物浦大学) Fudan University, China(复旦大学) Department of Information Engineering and Computer Science, University of Trento, Trento, Italy(特伦托大学信息工程与计算机科学系)

专题命中 规划推理 :CoT(abstract,abstract_cn);reasoning(abstract);chain-of-thought(abstract);planning(abstract)

AI总结 提出GSAM框架,通过视觉感知器生成运动学参数、基于VLM的细调器进行常识推理修正、交互约束函数生成器集成障碍物避免知识,并由运动学感知规划器验证轨迹可达性,在50个铰链任务上相比最佳基线将标准差降低3.1%、操作成功率提升36.0%。

Comments Accepted by the 19th International Conference on Parallel Problem Solving from Nature (PPSN 2026)

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