AI Agent - arXivDaily 专题

2502.18873 2025-02-27 cs.AI cs.CL 73%

Multi-LLM Collaborative Search for Complex Problem Solving

Sen Yang, Yafu Li, Wai Lam, Yu Cheng

专题命中工具调用：agent(abstract)；multi-agent(abstract)；分类 cs.AI、cs.CL

2406.00252 2025-02-18 cs.AI cs.CL cs.CV cs.MA 73%

Towards Rationality in Language and Multimodal Agents: A Survey

Bowen Jiang, Yangxinyu Xie, Xiaomeng Wang, Yuan Yuan, Zhuoqun Hao, Xinyi Bai, Weijie J. Su, Camillo J. Taylor, Tanwi Mallick

机构 * University of Pennsylvania（宾夕法尼亚大学）； Cornell University（康奈尔大学）； Argonne National Laboratory（阿贡国家实验室）

专题命中工具调用：agent(abstract)；multi-agent(abstract)；分类 cs.AI、cs.CL

Comments This paper has been accepted to the NAACL 2025 Main

2502.08586 2025-02-13 cs.LG cs.AI 73%

Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks

Ang Li, Yin Zhou, Vethavikashini Chithrra Raghuram, Tom Goldstein, Micah Goldblum

专题命中工具调用：agent(abstract)；agentic(abstract)；分类 cs.AI、cs.LG

2412.02301 2025-01-30 cs.AI cs.CL cs.CR 73%

Large Multimodal Agents for Accurate Phishing Detection with Enhanced Token Optimization and Cost Reduction

Fouad Trad, Ali Chehab

机构 * American University of Beirut（贝鲁特美国大学）

专题命中工具调用：agent(abstract)；agentic(abstract)；分类 cs.AI、cs.CL

Comments Accepted in the 2nd International Conference on Foundation and Large Language Models (FLLM2024)

2501.12542 2025-01-23 cs.LG cs.AI cs.SY eess.SY 73%

Reinforcement Learning Constrained Beam Search for Parameter Optimization of Paper Drying Under Flexible Constraints

Siyuan Chen, Hanshen Yu, Jamal Yagoobi, Chenhui Shao

机构 * University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校）； Worcester Polytechnic Institute（伍斯特理工学院）； University of Michigan（密歇根大学）

专题命中工具调用：agent(abstract)；planning(abstract)；分类 cs.AI、cs.LG

2501.00055 2025-01-03 cs.CR cs.AI cs.CL 73%

LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models

Miao Yu, Junfeng Fang, Yingjie Zhou, Xing Fan, Kun Wang, Shirui Pan, Qingsong Wen

专题命中工具调用：agent(abstract)；multi-agent(abstract)；分类 cs.AI、cs.CL

2402.10980 2024-12-10 physics.chem-ph cs.AI cs.CE cs.LG 73%

ChemReasoner: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical Feedback

Henry W. Sprueill, Carl Edwards, Khushbu Agarwal, Mariefel V. Olarte, Udishnu Sanyal, Conrad Johnston, Hongbin Liu, Heng Ji, Sutanay Choudhury

专题命中工具调用：agent(abstract)；planning(abstract)；分类 cs.AI、cs.LG

Comments 9 pages, accepted by ICML 2024, final version

2409.07932 2024-11-27 cs.LG cs.AI cs.MA cs.SI 73%

Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies

Alexei Pisacane, Victor-Alexandru Darvariu, Mirco Musolesi

专题命中工具调用：agent(abstract)；multi-agent(abstract)；分类 cs.AI、cs.LG

Journal ref Proceedings of the Third Learning on Graphs Conference (LoG 2024), PMLR 269

2405.17935 2024-11-05 cs.CL cs.AI 73%

Tool Learning with Large Language Models: A Survey

Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen

专题命中工具调用：planning(abstract)；workflow(abstract)；分类 cs.AI、cs.CL

Comments The article has been accepted by Frontiers of Computer Science (FCS), with the DOI: {10.1007/s11704-024-40678-2}

1705.08439 2024-10-25 cs.AI cs.LG 73%

Thinking Fast and Slow with Deep Learning and Tree Search

Thomas Anthony, Zheng Tian, David Barber

专题命中工具调用：agent(abstract)；planning(abstract)；分类 cs.AI、cs.LG

Comments v1 to v2: - Add a value function in MCTS - Some MCTS hyper-parameters changed - Repetition of experiments: improved accuracy and errors shown. (note the reduction in effect size for the tpt/cat experiment) - Results from a longer training run, including changes in expert strength in training - Comparison to MoHex. v3: clarify independence of ExIt and AG0. v4: see appendix E

2409.15612 2024-09-25 cs.LG cs.AI 73%

Revolutionizing Biomarker Discovery: Leveraging Generative AI for Bio-Knowledge-Embedded Continuous Space Exploration

Wangyang Ying, Dongjie Wang, Xuanming Hu, Ji Qiu, Jin Park, Yanjie Fu

专题命中工具调用：agent(abstract)；multi-agent(abstract)；分类 cs.AI、cs.LG

2409.15172 2024-09-24 cs.RO cs.AI cs.LG 73%

Skills Made to Order: Efficient Acquisition of Robot Cooking Skills Guided by Multiple Forms of Internet Data

Mrinal Verghese, Christopher Atkeson

专题命中工具调用：tool use(abstract)；tool-use(abstract)；分类 cs.AI、cs.LG

Comments 6 pages, 5 figures

2404.06519 2024-04-11 cs.GT cs.AI cs.LG cs.MA 73%

Best Response Shaping

Milad Aghajohari, Tim Cooijmans, Juan Agustin Duque, Shunichi Akatsuka, Aaron Courville

专题命中工具调用：agent(abstract)；multi-agent(abstract)；分类 cs.AI、cs.LG

2402.13225 2024-02-21 cs.CL cs.AI 73%

AgentMD: Empowering Language Agents for Risk Prediction with Large-Scale Clinical Tool Learning

Qiao Jin, Zhizheng Wang, Yifan Yang, Qingqing Zhu, Donald Wright, Thomas Huang, W John Wilbur, Zhe He, Andrew Taylor, Qingyu Chen, Zhiyong Lu

专题命中工具调用：agent(abstract)；workflow(abstract)；分类 cs.AI、cs.CL

Comments Work in progress

2311.00754 2023-11-03 cs.RO cs.AI cs.LG 73%

Learning to Design and Use Tools for Robotic Manipulation

Ziang Liu, Stephen Tian, Michelle Guo, C. Karen Liu, Jiajun Wu

专题命中工具调用：agent(abstract)；tool use(abstract)；分类 cs.AI、cs.LG

Comments First two authors contributed equally. Accepted at CoRL 2023

2304.08244 2023-10-26 cs.CL cs.AI 73%

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs

Minghao Li, Yingxiu Zhao, Bowen Yu, Feifan Song, Hangyu Li, Haiyang Yu, Zhoujun Li, Fei Huang, Yongbin Li

专题命中工具调用：tool-use(abstract)；planning(abstract)；分类 cs.AI、cs.CL

Comments EMNLP 2023

2210.12566 2023-09-27 cs.LG cs.AI cs.RO 73%

Solving Continuous Control via Q-learning

Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin Riedmiller, Daniela Rus, Markus Wulfmeier

专题命中工具调用：agent(abstract)；multi-agent(abstract)；分类 cs.AI、cs.LG

2303.04150 2023-08-31 cs.NE cs.AI cs.LG 73%

Evolutionary Reinforcement Learning: A Survey

Hui Bai, Ran Cheng, Yaochu Jin

专题命中工具调用：agent(abstract)；multi-agent(abstract)；分类 cs.AI、cs.LG

Journal ref INTELLIGENT COMPUTING, 21 Apr 2023

2306.13304 2023-06-26 cs.CL cs.AI 73%

ToolQA: A Dataset for LLM Question Answering with External Tools

Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, Chao Zhang

专题命中工具调用：tool use(abstract)；tool-use(abstract)；分类 cs.AI、cs.CL

2212.13326 2023-04-18 cs.LG cs.AI cs.CV 73%

Behavioral Cloning via Search in Video PreTraining Latent Space

Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik

专题命中工具调用：agent(abstract)；autonomous agent(abstract)；分类 cs.AI、cs.LG

2211.13032 2022-12-07 cs.AI cs.LG 73%

Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective Reinforcement Learning

Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion

专题命中工具调用：agent(abstract)；planning(abstract)；分类 cs.AI、cs.LG

Comments arXiv admin note: substantial text overlap with arXiv:2102.00966

2211.15068 2022-11-29 cs.LG cs.AI 73%

Learning to design without prior data: Discovering generalizable design strategies using deep learning and tree search

Ayush Raina, Jonathan Cagan, Christopher McComb

专题命中工具调用：agent(abstract)；AI agent(abstract)；分类 cs.AI、cs.LG

Comments ASME. J. Mech. Des

2204.13307 2022-09-27 cs.LG cs.AI cs.GT stat.ML 73%

AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time

Johannes Scheiermann, Wolfgang Konen

专题命中工具调用：agent(abstract)；planning(abstract)；分类 cs.AI、cs.LG

Comments 11 pages, 10 figures

2205.10816 2022-05-24 cs.LG cs.AI 73%

Chain of Thought Imitation with Procedure Cloning

Mengjiao Yang, Dale Schuurmans, Pieter Abbeel, Ofir Nachum

专题命中工具调用：agent(abstract)；planning(abstract)；分类 cs.AI、cs.LG

2112.07544 2022-02-18 cs.MA cs.AI cs.GT cs.LG 73%

Modeling Strong and Human-Like Gameplay with KL-Regularized Search

Athul Paul Jacob, David J. Wu, Gabriele Farina, Adam Lerer, Hengyuan Hu, Anton Bakhtin, Jacob Andreas, Noam Brown

专题命中工具调用：agent(abstract)；multi-agent(abstract)；分类 cs.AI、cs.LG

2112.04187 2021-12-16 cs.AI cs.LG 73%

Pretrained Cost Model for Distributed Constraint Optimization Problems

Yanchen Deng, Shufeng Kong, Bo An

专题命中工具调用：agent(abstract)；autonomous agent(abstract)；分类 cs.AI、cs.LG

Comments Accepted by AAAI-22

2104.04258 2021-12-10 cs.AI cs.LG stat.ML 73%

Counter-Strike Deathmatch with Large-Scale Behavioural Cloning

Tim Pearce, Jun Zhu

专题命中工具调用：agent(abstract)；AI agent(abstract)；分类 cs.AI、cs.LG

Comments Offline Reinforcement Learning Workshop at Neural Information Processing Systems, 2021

1912.02877 2021-09-07 cs.LG cs.AI cs.RO 73%

Training Agents using Upside-Down Reinforcement Learning

Rupesh Kumar Srivastava, Pranav Shyam, Filipe Mutz, Wojciech Jaśkowski, Jürgen Schmidhuber

专题命中工具调用：agent(abstract)；autonomous agent(abstract)；分类 cs.AI、cs.LG

Comments Extends NeurIPS 2019 Deep Reinforcement Learning workshop presentation

2004.09044 2020-04-21 cs.AI cs.CV cs.LG 73%

Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

Yixin Zhu, Tao Gao, Lifeng Fan, Siyuan Huang, Mark Edmonds, Hangxin Liu, Feng Gao, Chi Zhang, Siyuan Qi, Ying Nian Wu, Joshua B. Tenenbaum, Song-Chun Zhu

专题命中工具调用：tool use(abstract)；planning(abstract)；分类 cs.AI、cs.LG

Comments For high quality figures, please refer to http://wellyzhang.github.io/attach/dark.pdf

Journal ref Engineering, Feb, 2020

2001.07993 2020-01-23 cs.LG cs.AI cs.MA 73%

On Solving Cooperative MARL Problems with a Few Good Experiences

Rajiv Ranjan Kumar, Pradeep Varakantham

专题命中工具调用：agent(abstract)；multi-agent(abstract)；分类 cs.AI、cs.LG

1. 工具调用 5130 篇

Multi-LLM Collaborative Search for Complex Problem Solving

Towards Rationality in Language and Multimodal Agents: A Survey

Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks

Large Multimodal Agents for Accurate Phishing Detection with Enhanced Token Optimization and Cost Reduction

Reinforcement Learning Constrained Beam Search for Parameter Optimization of Paper Drying Under Flexible Constraints

LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models

ChemReasoner: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical Feedback

Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies

Tool Learning with Large Language Models: A Survey

Thinking Fast and Slow with Deep Learning and Tree Search

Revolutionizing Biomarker Discovery: Leveraging Generative AI for Bio-Knowledge-Embedded Continuous Space Exploration

Skills Made to Order: Efficient Acquisition of Robot Cooking Skills Guided by Multiple Forms of Internet Data

Best Response Shaping

AgentMD: Empowering Language Agents for Risk Prediction with Large-Scale Clinical Tool Learning

Learning to Design and Use Tools for Robotic Manipulation

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs

Solving Continuous Control via Q-learning

Evolutionary Reinforcement Learning: A Survey

ToolQA: A Dataset for LLM Question Answering with External Tools

Behavioral Cloning via Search in Video PreTraining Latent Space

Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective Reinforcement Learning

Learning to design without prior data: Discovering generalizable design strategies using deep learning and tree search

AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time

Chain of Thought Imitation with Procedure Cloning

Modeling Strong and Human-Like Gameplay with KL-Regularized Search

Pretrained Cost Model for Distributed Constraint Optimization Problems

Counter-Strike Deathmatch with Large-Scale Behavioural Cloning

Training Agents using Upside-Down Reinforcement Learning

Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

On Solving Cooperative MARL Problems with a Few Good Experiences