大模型推理能力

Diversity of Thought Improves Reasoning Abilities of LLMs

Ranjita Naik, Varun Chandrasekaran, Mert Yuksekgonul, Hamid Palangi, Besmira Nushi

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

Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning

Linhao Luo, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan

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

Comments Accepted by ICLR 2024

Large language model empowered participatory urban planning

Zhilun Zhou, Yuming Lin, Yong Li

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

Comments 26 pages, 7 figures, 2 tables

Natural Language based Context Modeling and Reasoning for Ubiquitous Computing with Large Language Models: A Tutorial

Haoyi Xiong, Jiang Bian, Sijia Yang, Xiaofei Zhang, Linghe Kong, Daqing Zhang

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

Comments Under review

No Train Still Gain. Unleash Mathematical Reasoning of Large Language Models with Monte Carlo Tree Search Guided by Energy Function

Haotian Xu

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

Comments still in progress

On the Planning, Search, and Memorization Capabilities of Large Language Models

Yunhao Yang, Anshul Tomar

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

Comments 13 pages, 2 figures

Deductive Additivity for Planning of Natural Language Proofs

Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett

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

Translating Natural Language to Planning Goals with Large-Language Models

Yaqi Xie, Chen Yu, Tongyao Zhu, Jinbin Bai, Ze Gong, Harold Soh

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

PlanT: Explainable Planning Transformers via Object-Level Representations

Katrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata, Andreas Geiger

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

Comments CoRL 2022. Project Page: https://www.katrinrenz.de/plant/

Generating Natural Language Proofs with Verifier-Guided Search

Kaiyu Yang, Jia Deng, Danqi Chen

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

Comments EMNLP 2022. Code and models are available at https://github.com/princeton-nlp/NLProofS. v3 added evaluation of GPT-3 and Codex

Deep Structured Reactive Planning

Jerry Liu, Wenyuan Zeng, Raquel Urtasun, Ersin Yumer

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

Comments ICRA 2021

Physically Embedded Planning Problems: New Challenges for Reinforcement Learning

Mehdi Mirza, Andrew Jaegle, Jonathan J. Hunt, Arthur Guez, Saran Tunyasuvunakool, Alistair Muldal, Théophane Weber, Peter Karkus, Sébastien Racanière, Lars Buesing, Timothy Lillicrap, Nicolas Heess

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

Comments 17 pages + appendix. Updated text and references

From proprioception to long-horizon planning in novel environments: A hierarchical RL model

Nishad Gothoskar, Miguel Lázaro-Gredilla, Dileep George

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

Search on the Replay Buffer: Bridging Planning and Reinforcement Learning

Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine

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

Comments Run our algorithm in your browser: http://bit.ly/rl_search

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems

利用LLMs构建自动本体：作为混合智能系统记忆、验证和规划的外部层

Pavel Salovskii, Iuliia Gorshkova

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

AI总结 本文提出了一种混合架构，通过扩展LLMs的外部本体记忆层，实现结构化知识图谱的构建与维护，提升多步推理性能并支持生成-验证-修正流程。

Comments Artificial Intelligence; Knowledge Representation and Reasoning; Information Retrieval; Machine Learning

A Roadmap to Guide the Integration of LLMs in Hierarchical Planning

引导大型语言模型在分层规划中整合的路线图

Israel Puerta-Merino, Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares

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

AI总结 本文提出了一条引导大型语言模型在分层规划中整合的路线图，通过分类整合方法和建立基准测试，探索LLMs在分层规划中的应用潜力。

Comments 5 pages, 0 figures, to be published in the AAAI Workshop on Planning in the Era of LLMs ( https://llmforplanning.github.io )

From System 1 to System 2: A Survey of Reasoning Large Language Models

Zhong-Zhi Li, Duzhen Zhang, Ming-Liang Zhang, Jiaxin Zhang, Zengyan Liu, Yuxuan Yao, Haotian Xu, Junhao Zheng, Pei-Jie Wang, Xiuyi Chen, Yingying Zhang, Fei Yin, Jiahua Dong, Zhiwei Li, Bao-Long Bi, Ling-Rui Mei, Junfeng Fang, Xiao Liang, Zhijiang Guo, Le Song, Cheng-Lin Liu

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

Comments Slow-thinking, Large Language Models, Human-like Reasoning, Decision Making in AI, AGI

Towards Zero-Shot, Controllable Dialog Planning with LLMs

Dirk Väth, Ngoc Thang Vu

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

Comments This paper has been accepted for publication at the AAAI 2022 Workshop on Planning in the Era of LLMs

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution

Ziyi Ni, Yifan Li, Daxiang Dong

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

Comments Submitted to the Neurips Workshop "System 2 Reasoning" in September, 2024. The openreview is avaliable at https://openreview.net/forum?id=8NKAL8Ngxk

PROC2PDDL: Open-Domain Planning Representations from Texts

Tianyi Zhang, Li Zhang, Zhaoyi Hou, Ziyu Wang, Yuling Gu, Peter Clark, Chris Callison-Burch, Niket Tandon

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

Comments In NLRSE 2024, the 2nd Natural Language Reasoning and Structured Explanations Workshop

LLM-SAP: Large Language Models Situational Awareness Based Planning

Liman Wang, Hanyang Zhong

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

Comments This article has been accepted by ICME2024 Workshop MML4SG. Website:https://github.com/HanyangZhong/Situational_Planning_datasets

Towards Using Promises for Multi-Agent Cooperation in Goal Reasoning

Daniel Swoboda, Till Hofmann, Tarik Viehmann, Gerhard Lakemeyer

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

Comments Presented at the ICAPS'22 Workshop on Planning and Robotics (PlanRob)

Efficient Multi-agent Epistemic Planning: Teaching Planners About Nested Belief

Christian Muise, Vaishak Belle, Paolo Felli, Sheila McIlraith, Tim Miller, Adrian R. Pearce, Liz Sonenberg

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

Comments Published in Special Issue of the Artificial Intelligence Journal (AIJ) on Epistemic Planning

Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models

Nicholas Rhinehart, Jeff He, Charles Packer, Matthew A. Wright, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine

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

Comments To be published at ICRA 2021. Project page: https://sites.google.com/view/contingency-planning

Adaptive Informative Path Planning with Multimodal Sensing

Shushman Choudhury, Nate Gruver, Mykel J. Kochenderfer

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

Comments First two authors contributed equally; International Conference on Automated Planning and Scheduling (ICAPS) 2020

Towards Combining HTN Planning and Geometric Task Planning

Lavindra de Silva, Amit Kumar Pandey, Mamoun Gharbi, Rachid Alami

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

Comments RSS Workshop on Combined Robot Motion Planning and AI Planning for Practical Applications, June 2013

ReferTrack: Referring Then Tracking for Embodied Visual Tracking

ReferTrack：用于具身视觉跟踪的先指认后跟踪

Hanjing Ye, Tianle Zeng, Jiazhao Zhang, Shaoan Wang, Zibo Zhang, Weisi Situ, Yuchen Zhou, Yonggen Ling, Hong Zhang

机构 * SUSTech（南方科技大学） ； Tencent Robotics X（腾讯机器人X实验室） ； Peking University（北京大学） ； Futian Laboratory（福田实验室） 纠错

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

AI总结 研究针对具身视觉跟踪问题，提出ReferTrack先指认后跟踪范式，用单个摄像头，先选目标再解码跟踪航点，通过滑动窗口队列保留运动线索，经数据集协同训练增强识别，在EVT - Bench上达先进单视图性能并验证了迁移能力。

ReflectFact: Self-Reflective Agents for Improving Comprehension and Reasoning in Multi-Hop Fact Verification

ReflectFact：用于提升多跳事实验证中理解与推理能力的自反思智能体

Runze Zhao, Zixin Tang, Xiaoshuai Hao, Leyuan Chang, Xiaopeng Fu, Boyu Qiao, Dongyang Zhang

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

AI总结 针对多跳事实验证中智能体推理偏离目标及参数知识与证据冲突的问题，提出自反思智能体框架ReflectFact，经HOVER、EX-FEVER实验，性能优于最强基线。

Comments 9 pages, 4 figures, 3 tables

Large Language Models Persuade Without Planning Theory of Mind

大语言模型无需规划即可说服理论之心理论

Jared Moore, Rasmus Overmark, Ned Cooper, Beba Cibralic, Nick Haber, Cameron R. Jones

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

AI总结 大语言模型通过战略性揭示信息说服目标，无需显式理论之心推理，实验显示其在说服任务中表现优于人类。

DreamFly: Causal Memory and Receding-Horizon Diffusion Planning for Aerial Vision-Language Navigation

DreamFly：面向空中视觉语言导航的因果记忆与后退时域扩散规划

Yan Deng, Fei Xu

机构 * School of Electronic Information Engineering, Xi’an Technological University（西安工业大学电子信息工程学院） ； School of Computer Science and Engineering, Xi’an Technological University（西安工业大学计算机科学与工程学院） 纠错

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

AI总结 DreamFly是基于Dream-VLA的扩散式空中VLN框架，通过因果记忆、后退时域扩散规划和LiteStop解耦终止，在OpenFly基准上显著优于对比方法。

Comments 24 pages, 6 figures, 3 tables