AI Agent

Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty

Peilin Wu, Mian Zhang, Xinlu Zhang, Xinya Du, Zhiyu Zoey Chen

机构 * Department of Computer Science, The University of Texas at Dallas（德克萨斯大学达拉斯分校计算机科学系） ； Department of Computer Science, University of California, Santa Barbara（加州大学圣巴巴拉分校计算机科学系） 纠错

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

Comments Accepted to EMNLP 2025 Main Conference

The Automated but Risky Game: Modeling and Benchmarking Agent-to-Agent Negotiations and Transactions in Consumer Markets

Shenzhe Zhu, Jiao Sun, Yi Nian, Tobin South, Alex Pentland, Jiaxin Pei

机构 * Stanford University（斯坦福大学） ； University of Toronto（多伦多大学） ； Google DeepMind（谷歌DeepMind） ； University of Southern California（南加州大学） ； Massachusetts Institute of Technology（麻省理工学院） 纠错

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

Digging Into the Internal: Causality-Based Analysis of LLM Function Calling

Zhenlan Ji, Daoyuan Wu, Wenxuan Wang, Pingchuan Ma, Shuai Wang, Lei Ma

专题命中 工具调用 ：function calling(title,abstract)；分类 cs.AI、cs.SE

Securing AI Agents: Implementing Role-Based Access Control for Industrial Applications

Aadil Gani Ganie

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

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward

Yong Deng, Guoqing Wang, Zhenzhe Ying, Xiaofeng Wu, Jinzhen Lin, Wenwen Xiong, Yuqin Dai, Shuo Yang, Zhanwei Zhang, Qiwen Wang, Yang Qin, Yuan Wang, Quanxing Zha, Sunhao Dai, Changhua Meng

机构 * Ant Group（蚂蚁集团） 纠错

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

Fast and scalable retrosynthetic planning with a transformer neural network and speculative beam search

Mikhail Andronov, Natalia Andronova, Michael Wand, Jürgen Schmidhuber, Djork-Arné Clevert

机构 * SUPSI, IDSIA（SUPSI、IDSIA） ； Pfizer Research and Development（辉瑞研发） ； Institute for Digital Technologies for Personalized Healthcare（个性化医疗数字技术研究所） ； KAUST（王国立科技大学） ； Center for Generative AI（生成人工智能中心） 纠错

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

ODIA: Oriented Distillation for Inline Acceleration of LLM-based Function Calling

Hanlong Zhang, Jingsheng Yang, Hao Li, Yuhao He, Franck Gong

机构 * ByteDance Inc.（字节跳动公司） 纠错

专题命中 工具调用 ：function calling(title,abstract)；分类 cs.AI、cs.LG

OPT-BENCH: Evaluating LLM Agent on Large-Scale Search Spaces Optimization Problems

Xiaozhe Li, Jixuan Chen, Xinyu Fang, Shengyuan Ding, Haodong Duan, Qingwen Liu, Kai Chen

机构 * Tongji University（同济大学） ； Shanghai AI Lab（上海人工智能实验室） ； Nanjing University（南京大学） ； Zhejiang University（浙江大学） 纠错

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

FamilyTool: A Multi-hop Personalized Tool Use Benchmark

Yuxin Wang, Yiran Guo, Yining Zheng, Zhangyue Yin, Shuo Chen, Jie Yang, Jiajun Chen, Yuan Li, 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所） 纠错

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

RouteNator: A Router-Based Multi-Modal Architecture for Generating Synthetic Training Data for Function Calling LLMs

Vibha Belavadi, Tushar Vatsa, Dewang Sultania, Suhas Suresha, Ishita Verma, Cheng Chen, Tracy Holloway King, Michael Friedrich

机构 * Adobe Inc.（Adobe公司） 纠错

专题命中 工具调用 ：function calling(title,abstract)；分类 cs.CL、cs.LG

Comments Proceedings of the 4th International Workshop on Knowledge-Augmented Methods for Natural Language Processing

Journal ref https://aclanthology.org/2025.knowledgenlp-1.10/ KnowledgeNLP 2025

MeNTi: Bridging Medical Calculator and LLM Agent with Nested Tool Calling

Yakun Zhu, Shaohang Wei, Xu Wang, Kui Xue, Xiaofan Zhang, Shaoting Zhang

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

Comments NAACL 2025 main conference. Code and Dataset available at [https://github.com/shzyk/MENTI](https://github.com/shzyk/MENTI)

Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent

Ziyang Huang, Xiaowei Yuan, Yiming Ju, Jun Zhao, Kang Liu

机构 * Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所） ； University of Chinese Academy of Sciences（中国科学院大学） ； Beijing Academy of Artificial Intelligence（北京人工智能研究院） 纠错

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

Small Models, Big Tasks: An Exploratory Empirical Study on Small Language Models for Function Calling

Ishan Kavathekar, Raghav Donakanti, Ponnurangam Kumaraguru, Karthik Vaidhyanathan

机构 * IIIT-Hyderabad（IIIT- Hyderabad） 纠错

专题命中 工具调用 ：function calling(title,abstract)；分类 cs.AI、cs.SE

Comments Accepted at EASE 2025 AI Models and Data Evaluation track

ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Jiazhan Feng, Shijue Huang, Xingwei Qu, Ge Zhang, Yujia Qin, Baoquan Zhong, Chengquan Jiang, Jinxin Chi, Wanjun Zhong

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

Comments fix typos

AGENT: An Aerial Vehicle Generation and Design Tool Using Large Language Models

Colin Samplawski, Adam D. Cobb, Susmit Jha

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

Graph-Grounded LLMs: Leveraging Graphical Function Calling to Minimize LLM Hallucinations

Piyush Gupta, Sangjae Bae, David Isele

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

ML-Dev-Bench: Comparative Analysis of AI Agents on ML development workflows

Harshith Padigela, Chintan Shah, Dinkar Juyal

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

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning

Assaf Lahiany, Oren Gal

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

Asynchronous LLM Function Calling

In Gim, Seung-seob Lee, Lin Zhong

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

Infant Agent: A Tool-Integrated, Logic-Driven Agent with Cost-Effective API Usage

Bin Lei, Yuchen Li, Yiming Zeng, Tao Ren, Yi Luo, Tianyu Shi, Zitian Gao, Zeyu Hu, Weitai Kang, Qiuwu Chen

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

Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas

Xiang Hu, Hongyu Fu, Jinge Wang, Yifeng Wang, Zhikun Li, Renjun Xu, Yu Lu, Yaochu Jin, Lili Pan, Zhenzhong Lan

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

You Have Thirteen Hours in Which to Solve the Labyrinth: Enhancing AI Game Masters with Function Calling

Jaewoo Song, Andrew Zhu, Chris Callison-Burch

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

Comments Wordplay Workshop @ ACL 2024

HoneyComb: A Flexible LLM-Based Agent System for Materials Science

Huan Zhang, Yu Song, Ziyu Hou, Santiago Miret, Bang Liu

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

Comments Under Review on EMNLP 2024

ProductAgent: Benchmarking Conversational Product Search Agent with Asking Clarification Questions

Jingheng Ye, Yong Jiang, Xiaobin Wang, Yinghui Li, Yangning Li, Hai-Tao Zheng, Pengjun Xie, Fei Huang

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

Comments 17 pages, 13 tables, 6 figures. Under review

Don't Fine-Tune, Decode: Syntax Error-Free Tool Use via Constrained Decoding

Kexun Zhang, Hongqiao Chen, Lei Li, William Wang

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

Large Language Models as Zero-shot Dialogue State Tracker through Function Calling

Zekun Li, Zhiyu Zoey Chen, Mike Ross, Patrick Huber, Seungwhan Moon, Zhaojiang Lin, Xin Luna Dong, Adithya Sagar, Xifeng Yan, Paul A. Crook

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

Comments ACL 2024 Main. Code available at: https://github.com/facebookresearch/FnCTOD

An LLM-Tool Compiler for Fused Parallel Function Calling

Simranjit Singh, Andreas Karatzas, Michael Fore, Iraklis Anagnostopoulos, Dimitrios Stamoulis

专题命中 工具调用 ：function calling(title,abstract)；分类 cs.AI、cs.LG

Human-Centric Aware UAV Trajectory Planning in Search and Rescue Missions Employing Multi-Objective Reinforcement Learning with AHP and Similarity-Based Experience Replay

Mahya Ramezani, Jose Luis Sanchez-Lopez

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

CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language Models

Peiyuan Gong, Jiamian Li, Jiaxin Mao

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

Comments 4 pages, demo

Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia

Alexander Sasha Vezhnevets, John P. Agapiou, Avia Aharon, Ron Ziv, Jayd Matyas, Edgar A. Duéñez-Guzmán, William A. Cunningham, Simon Osindero, Danny Karmon, Joel Z. Leibo

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

Comments 32 pages, 5 figures