大模型推理能力

WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language Model

Songyan Zhang, Wenhui Huang, Zihui Gao, Hao Chen, Chen Lv

专题命中 规划推理 ：reasoning(abstract)；planning(abstract)；logical reasoning(abstract)

Grounding Language Plans in Demonstrations Through Counterfactual Perturbations

Yanwei Wang, Tsun-Hsuan Wang, Jiayuan Mao, Michael Hagenow, Julie Shah

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

Comments ICLR 2024 Spotlight

Journal ref In International Conference on Learning Representations (ICLR) (2024)

A Survey on Large Language Model-empowered Autonomous Driving

Yuxuan Zhu, Shiyi Wang, Wenqing Zhong, Nianchen Shen, Yunqi Li, Siqi Wang, Zhiheng Li, Cathy Wu, Zhengbing He, Li Li

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

Can large language models explore in-context?

Akshay Krishnamurthy, Keegan Harris, Dylan J. Foster, Cyril Zhang, Aleksandrs Slivkins

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

Comments Accepted to NeurIPS 2024. This version: added references to related and concurrent work

EnvBridge: Bridging Diverse Environments with Cross-Environment Knowledge Transfer for Embodied AI

Tomoyuki Kagaya, Yuxuan Lou, Thong Jing Yuan, Subramanian Lakshmi, Jayashree Karlekar, Sugiri Pranata, Natsuki Murakami, Akira Kinose, Koki Oguri, Felix Wick, Yang You

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

Agents Thinking Fast and Slow: A Talker-Reasoner Architecture

Konstantina Christakopoulou, Shibl Mourad, Maja Matarić

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

TrustAgent: Towards Safe and Trustworthy LLM-based Agents

Wenyue Hua, Xianjun Yang, Mingyu Jin, Zelong Li, Wei Cheng, Ruixiang Tang, Yongfeng Zhang

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

Comments In EMNLP 2024

Infer Human's Intentions Before Following Natural Language Instructions

Yanming Wan, Yue Wu, Yiping Wang, Jiayuan Mao, Natasha Jaques

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

MHRC: Closed-loop Decentralized Multi-Heterogeneous Robot Collaboration with Large Language Models

Wenhao Yu, Jie Peng, Yueliang Ying, Sai Li, Jianmin Ji, Yanyong Zhang

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

Agent Lumos: Unified and Modular Training for Open-Source Language Agents

Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin

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

Comments Accepted to ACL 2024 Main Conference; Camera Ready. Project website: https://allenai.github.io/lumos/

Towards a copilot in BIM authoring tool using a large language model-based agent for intelligent human-machine interaction

Changyu Du, Stavros Nousias, André Borrmann

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

Code Simulation Challenges for Large Language Models

Emanuele La Malfa, Christoph Weinhuber, Orazio Torre, Fangru Lin, Samuele Marro, Anthony Cohn, Nigel Shadbolt, Michael Wooldridge

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

Comments Code: https://github.com/EmanueleLM/CodeSimulation

Graph of Thoughts: Solving Elaborate Problems with Large Language Models

Maciej Besta, Nils Blach, Ales Kubicek, Robert Gerstenberger, Michal Podstawski, Lukas Gianinazzi, Joanna Gajda, Tomasz Lehmann, Hubert Niewiadomski, Piotr Nyczyk, Torsten Hoefler

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

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence 2024 (AAAI'24)

CAPE: Corrective Actions from Precondition Errors using Large Language Models

Shreyas Sundara Raman, Vanya Cohen, Ifrah Idrees, Eric Rosen, Ray Mooney, Stefanie Tellex, David Paulius

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

Comments 17 pages, 6 figures, accepted at ICRA 2024

Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models

Xue Yan, Yan Song, Xinyu Cui, Filippos Christianos, Haifeng Zhang, David Henry Mguni, Jun Wang

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

How do Large Language Models Navigate Conflicts between Honesty and Helpfulness?

Ryan Liu, Theodore R. Sumers, Ishita Dasgupta, Thomas L. Griffiths

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

Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training

Xidong Feng, Ziyu Wan, Muning Wen, Stephen Marcus McAleer, Ying Wen, Weinan Zhang, Jun Wang

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

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang

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

Analyzing Transformer Dynamics as Movement through Embedding Space

Sumeet S. Singh

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

Comments V2. Rewrote abstract. Rewrote / re-organized the entire paper into a more formal proposition/argument/result format. To shorten main paper length: Wrote more compact text in general, moved "negative self bias" and "encoder v/s decoder walks" sections to the appendix and packed figures. Styled as TMLR

Improving Interpersonal Communication by Simulating Audiences with Language Models

Ryan Liu, Howard Yen, Raja Marjieh, Thomas L. Griffiths, Ranjay Krishna

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

Comments 16 pages (main paper), 7 tables and figures (main)

Language Models Meet World Models: Embodied Experiences Enhance Language Models

Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, Zhiting Hu

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

ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search

Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang

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

Chat with the Environment: Interactive Multimodal Perception Using Large Language Models

Xufeng Zhao, Mengdi Li, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter

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

Comments IROS2023, Detroit. See the project website at https://matcha-agent.github.io

Improving Patient Pre-screening for Clinical Trials: Assisting Physicians with Large Language Models

Danny M. den Hamer, Perry Schoor, Tobias B. Polak, Daniel Kapitan

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

Comments 11 pages, 4 tables, 2 figures

Working Memory Graphs

Ricky Loynd, Roland Fernandez, Asli Celikyilmaz, Adith Swaminathan, Matthew Hausknecht

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

Comments 11 pages, 6 figures, 7 page appendix

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval

FitText: 通过模因检索演化智能体工具生态

Kyle Zheng, Han Zhang, Renliang Sun, Chenchen Ye, Wei Wang

机构 * UCLA（加州大学洛杉矶分校） 纠错

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

AI总结 针对用户任务描述与工具文档间的语义鸿沟，提出FitText框架，将检索嵌入推理循环，通过自然语言伪工具描述迭代优化和模因进化选择，显著提升工具检索性能。

Comments 30 pages, including appendices. Accepted at COLM 2026 (main conference) and the COLM 2026 Workshop on Efficient Reasoning

ASK in the Dark: Uncertainty-Gated LLM Assistance under Partial Observability

黑暗中的询问：部分可观测性下的不确定性门控语言模型辅助

Juarez Monteiro, Nathan Gavenski, Guilherme Lima, Francisco Galuppo, Odinaldo Rodrigues, Adriano Veloso

机构 * Kunumi Institute（库努米研究所） ； King’s College London（伦敦国王学院） 纠错

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

AI总结 研究部分可观测性下强化学习智能体，指出普通不确定性门控方法失败原因是上下文问题。提出ASK+，为语言模型提供轨迹感知上下文和结构化推理，证明预测熵信号可行，在多环境中取得更好效果，强调提示设计重要性。

Comments Accepted at the IJCAI-ECAI Joint Workshop on Planning for Complex Real-World Applications and Bridging the Gap Between AI Planning and (Reinforcement) Learning

Tree of Reviews: A Tree-based Dynamic Iterative Retrieval Framework for Multi-hop Question Answering

Li Jiapeng, Liu Runze, Li Yabo, Zhou Tong, Li Mingling, Chen Xiang

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

Comments Keywords: Muti-hop Question Answering; Retrieval-Augmented Generation; Tree of Thought; Reasoning TLDR: We proposed a tree-based dynamic, iterative retrieval framework for multi-hop question answering

Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder

Masataro Asai, Hiroshi Kajino

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

Comments Accepted in 29th International Conference of Automated Planning and Scheduling (ICAPS-2019), Planning and Learning track

A Theoretical Framework for Parallel Lifelong MAPF Using Group Decentralized Planning

基于组分散规划的并行终身MAPF理论框架

Alex DeWeese, Jiaoyang Li, Guannan Qu

专题命中 规划推理 ：planning(title)；分类 cs.AI

AI总结 针对L-MAPF问题，本文证明RHCR的近最优性，提出并行规划的GD-RHCR框架，其在扩展智能体规模时仍能保持高吞吐量和低单规划成本。