AI 大模型

AI Agent

智能体、工具调用、规划、工作流、多智能体和自主任务执行。

2025-09-23 至 2025-09-23 共收录 5 篇信号源：cs.AI, cs.CL, cs.LG, cs.SE

1. 工具调用 5 篇

2509.18076 2025-09-23 cs.AI 83%

Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates

Hy Dang, Tianyi Liu, Zhuofeng Wu, Jingfeng Yang, Haoming Jiang, Tao Yang, Pei Chen, Zhengyang Wang, Helen Wang, Huasheng Li, Bing Yin, Meng Jiang

机构 * University of Notre Dame（诺丁汉大学）； Amazon（亚马逊）

专题命中工具调用：function calling(title,abstract)；tool-use(abstract)；分类 cs.AI

Comments Accepted to EMNLP 2025 Main Conference

2505.18135 2025-09-23 cs.AI cs.CL cs.CR cs.LG 82%

Tool Preferences in Agentic LLMs are Unreliable

Kazem Faghih, Wenxiao Wang, Yize Cheng, Siddhant Bharti, Gaurang Sriramanan, Sriram Balasubramanian, Parsa Hosseini, Soheil Feizi

机构 * University of Maryland（马里兰大学）

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

Comments Conference on Empirical Methods in Natural Language Processing (EMNLP) 2025, main

2506.00073 2025-09-23 cs.AI cs.CL cs.CY cs.HC cs.MA 81%

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）

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

2509.16268 2025-09-23 cs.SE cs.AI 81%

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

2411.04535 2025-09-23 cs.CL cs.AI 76%

Meta-Reasoning Improves Tool Use in Large Language Models

Lisa Alazraki, Marek Rei

机构 * Imperial College London（伦敦帝国学院）

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

Comments NAACL 2025 Findings