AI Agent

COCORELI: Cooperative, Compositional Reconstitution \& Execution of Language Instructions

Swarnadeep Bhar, Omar Naim, Eleni Metheniti, Bastien Navarri, Loïc Cabannes, Morteza Ezzabady, Nicholas Asher

机构 * IRIT ； ENS Paris-Saclay（巴黎-萨克雷大学） ； CNRS（国家科学研究中心） 纠错

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

Comments 18 pages

gpt-oss-120b & gpt-oss-20b Model Card

OpenAI, :, Sandhini Agarwal, Lama Ahmad, Jason Ai, Sam Altman, Andy Applebaum, Edwin Arbus, Rahul K. Arora, Yu Bai, Bowen Baker, Haiming Bao, Boaz Barak, Ally Bennett, Tyler Bertao, Nivedita Brett, Eugene Brevdo, Greg Brockman, Sebastien Bubeck, Che Chang, Kai Chen, Mark Chen, Enoch Cheung, Aidan Clark, Dan Cook, Marat Dukhan, Casey Dvorak, Kevin Fives, Vlad Fomenko, Timur Garipov, Kristian Georgiev, Mia Glaese, Tarun Gogineni, Adam Goucher, Lukas Gross, Katia Gil Guzman, John Hallman, Jackie Hehir, Johannes Heidecke, Alec Helyar, Haitang Hu, Romain Huet, Jacob Huh, Saachi Jain, Zach Johnson, Chris Koch, Irina Kofman, Dominik Kundel, Jason Kwon, Volodymyr Kyrylov, Elaine Ya Le, Guillaume Leclerc, James Park Lennon, Scott Lessans, Mario Lezcano-Casado, Yuanzhi Li, Zhuohan Li, Ji Lin, Jordan Liss, Lily, Liu, Jiancheng Liu, Kevin Lu, Chris Lu, Zoran Martinovic, Lindsay McCallum, Josh McGrath, Scott McKinney, Aidan McLaughlin, Song Mei, Steve Mostovoy, Tong Mu, Gideon Myles, Alexander Neitz, Alex Nichol, Jakub Pachocki, Alex Paino, Dana Palmie, Ashley Pantuliano, Giambattista Parascandolo, Jongsoo Park, Leher Pathak, Carolina Paz, Ludovic Peran, Dmitry Pimenov, Michelle Pokrass, Elizabeth Proehl, Huida Qiu, Gaby Raila, Filippo Raso, Hongyu Ren, Kimmy Richardson, David Robinson, Bob Rotsted, Hadi Salman, Suvansh Sanjeev, Max Schwarzer, D. Sculley, Harshit Sikchi, Kendal Simon, Karan Singhal, Yang Song, Dane Stuckey, Zhiqing Sun, Philippe Tillet, Sam Toizer, Foivos Tsimpourlas, Nikhil Vyas, Eric Wallace, Xin Wang, Miles Wang, Olivia Watkins, Kevin Weil, Amy Wendling, Kevin Whinnery, Cedric Whitney, Hannah Wong, Lin Yang, Yu Yang, Michihiro Yasunaga, Kristen Ying, Wojciech Zaremba, Wenting Zhan, Cyril Zhang, Brian Zhang, Eddie Zhang, Shengjia Zhao

机构 * OpenAI 纠错

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

Can External Validation Tools Improve Annotation Quality for LLM-as-a-Judge?

Arduin Findeis, Floris Weers, Guoli Yin, Ke Ye, Ruoming Pang, Tom Gunter

机构 * University of Cambridge（剑桥大学） ； Apple（苹果公司） 纠错

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

Comments Accepted at ACL 2025

Teaching a Language Model to Speak the Language of Tools

Simeon Emanuilov

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

Benchmarking Deep Search over Heterogeneous Enterprise Data

Prafulla Kumar Choubey, Xiangyu Peng, Shilpa Bhagavath, Kung-Hsiang Huang, Caiming Xiong, Chien-Sheng Wu

机构 * Salesforce AI Research（Salesforce人工智能研究） 纠错

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

Controllable and Reliable Knowledge-Intensive Task-Oriented Conversational Agents with Declarative Genie Worksheets

Harshit Joshi, Shicheng Liu, James Chen, Robert Weigle, Monica S. Lam

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

Comments Accepted at ACL 2025

Build the web for agents, not agents for the web

Xing Han Lù, Gaurav Kamath, Marius Mosbach, Siva Reddy

机构 * McGill University（麦吉尔大学） ； Mila – Quebec AI Institute（蒙特利尔人工智能研究所） 纠错

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

IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery

Aniketh Garikaparthi, Manasi Patwardhan, Lovekesh Vig, Arman Cohan

机构 * TCS Research（TCS研究院） ； Yale University（耶鲁大学） 纠错

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

Comments ACL 2025 (System Demonstration Track)

NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls

Kinjal Basu, Ibrahim Abdelaziz, Kiran Kate, Mayank Agarwal, Maxwell Crouse, Yara Rizk, Kelsey Bradford, Asim Munawar, Sadhana Kumaravel, Saurabh Goyal, Xin Wang, Luis A. Lastras, Pavan Kapanipathi

机构 * IBM Research, USA（IBM研究院，美国） ； Georgia Institute of Technology（佐治亚理工学院） 纠错

专题命中 工具调用 ：autonomous agent(abstract)；function calling(abstract)；分类 cs.AI、cs.CL

LTL Verification of Memoryful Neural Agents

Mehran Hosseini, Alessio Lomuscio, Nicola Paoletti

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

Comments 11 pages, 2 figures, accepted at AAMAS 2025 conference

AutoRestTest: A Tool for Automated REST API Testing Using LLMs and MARL

Tyler Stennett, Myeongsoo Kim, Saurabh Sinha, Alessandro Orso

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

Comments To be published in the 47th IEEE/ACM International Conference on Software Engineering - Demonstration Track (ICSE-Demo 2025)

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

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

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

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

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

Fouad Trad, Ali Chehab

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)

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

Siyuan Chen, Hanshen Yu, Jamal Yagoobi, Chenhui Shao

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

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

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

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

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}

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

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

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

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

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

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

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

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

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

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