AI Agent

LLM Agents Are Hypersensitive to Nudges

Manuel Cherep, Pattie Maes, Nikhil Singh

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

Comments 33 pages, 28 figures

LLM A*: Human in the Loop Large Language Models Enabled A* Search for Robotics

Hengjia Xiao, Peng Wang, Mingzhe Yu, Mattia Robbiani

机构 * Department of Computing and Mathematics, Manchester Metropolitan University（计算与数学系，曼彻斯特 Metropolitan 大学） ； Manchester Metropolitan University（曼彻斯特 Metropolitan 大学） ； Johnson Matthey Technology Centre, Johnson Matthey（Johnson Matthey 技术中心，Johnson Matthey） 纠错

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

Comments 7 figures, 8 pages

When repeats drive the vocabulary: a Byte-Pair Encoding analysis of T2T primate genomes

Marina Popova, Iaroslav Chelombitko, Aleksey Komissarov

机构 * JetBrains Neapolis University（JetBrains尼泊利大学） ； aglabx 纠错

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

Comments ICLR 2025 Workshop on Machine Learning for Genomics Explorations

Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search

Yedan Shen, Kaixin Wu, Yuechen Ding, Jingyuan Wen, Hong Liu, Mingjie Zhong, Zhouhan Lin, Jia Xu, Linjian Mo

机构 * LUMIA Lab, Shanghai Jiao Tong University（LUMIA实验室，上海交通大学） 纠错

专题命中 工具调用 ：agent(abstract)；分类 cs.AI

Comments Accepted by SIGIR 2025

Journal ref SIGIR 2025

HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning

Tianyi Chen, Xiaoyi Qu, David Aponte, Colby Banbury, Jongwoo Ko, Tianyu Ding, Yong Ma, Vladimir Lyapunov, Ilya Zharkov, Luming Liang

机构 * Applied Sciences Group（应用科学组） ； Microsoft（微软） 纠错

专题命中 工具调用 ：workflow(abstract)；分类 cs.LG

Comments 19 pages, 6 figures

Physics-informed neural network estimation of active material properties in time-dependent cardiac biomechanical models

Matthias Höfler, Francesco Regazzoni, Stefano Pagani, Elias Karabelas, Christoph Augustin, Gundolf Haase, Gernot Plank, Federica Caforio

机构 * Department of Mathematics and Scientific Computing, NAWI Graz, University of Graz, Austria（数学与科学计算系，格拉茨大学，奥地利） ； BioTechMed-Graz, Austria（格拉茨生物技术医学研究所，奥地利） ； MOX, Department of Mathematics, Politecnico di Milano, Milano, Italy（MOX，米兰理工学院数学系，意大利） ； Gottfried Schatz Research Center: Division of Biophysics, Medical University of Graz, Austria（戈特弗里德·施茨研究中心：生物物理部，格拉茨医科大学，奥地利） 纠错

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

Combining LLMs with Logic-Based Framework to Explain MCTS

Ziyan An, Xia Wang, Hendrik Baier, Zirong Chen, Abhishek Dubey, Taylor T. Johnson, Jonathan Sprinkle, Ayan Mukhopadhyay, Meiyi Ma

机构 * Vanderbilt University（范德比大学） ； Eindhoven University of Technology（埃因霍温理工大学） 纠错

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

Comments Accepted by AAMAS-25 as an extended abstract

BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese

Peilin Zhou, Bruce Leon, Xiang Ying, Can Zhang, Yifan Shao, Qichen Ye, Dading Chong, Zhiling Jin, Chenxuan Xie, Meng Cao, Yuxin Gu, Sixin Hong, Jing Ren, Jian Chen, Chao Liu, Yining Hua

机构 * Hong Kong University of Science and Technology (Guangzhou)（香港理工大学（广州）） ； Peking University（北京大学） ； Mindverse AI ； Alibaba Group（阿里巴巴集团） ； Zhejiang University（浙江大学） ； Zhejiang University of Technology（浙江工业大学） ； MBZUAI ； NIO（蔚来汽车） ； HSBC（汇丰银行） ； Harvard T.H. Chan School of Public Health（哈佛大学T.H. Chan公共卫生学院） 纠错

专题命中 工具调用 ：agentic(abstract)；分类 cs.CL

Comments Under Review

SOTOPIA-S4: a user-friendly system for flexible, customizable, and large-scale social simulation

Xuhui Zhou, Zhe Su, Sophie Feng, Jiaxu Zhou, Jen-tse Huang, Hsien-Te Kao, Spencer Lynch, Svitlana Volkova, Tongshuang Sherry Wu, Anita Woolley, Hao Zhu, Maarten Sap

机构 * Carnegie Mellon University（卡内基梅隆大学） ； Aptima ； Stanford University（斯坦福大学） ； The Chinese University of Hong Kong（香港中文大学） 纠错

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

Comments The first author and the second author contributed equally

Towards Explainable Network Intrusion Detection using Large Language Models

Paul R. B. Houssel, Priyanka Singh, Siamak Layeghy, Marius Portmann

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

Early Impacts of M365 Copilot

Eleanor Wiske Dillon, Sonia Jaffe, Sida Peng, Alexia Cambon

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

Title block detection and information extraction for enhanced building drawings search

Alessio Lombardi, Li Duan, Ahmed Elnagar, Ahmed Zaalouk, Khalid Ismail, Edlira Vakaj

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

Comments 8 pages, 8 figures, 1 table. Accepted for publication in the 2025 European Conference on Computing in Construction (EC3, https://ec-3.org/conference2025/)

Predicting Survivability of Cancer Patients with Metastatic Patterns Using Explainable AI

Polycarp Nalela, Deepthi Rao, Praveen Rao

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

Driving-RAG: Driving Scenarios Embedding, Search, and RAG Applications

Cheng Chang, Jingwei Ge, Jiazhe Guo, Zelin Guo, Binghong Jiang, Li Li

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

PAFFA: Premeditated Actions For Fast Agents

Shambhavi Krishna, Zheng Chen, Yuan Ling, Xiaojiang Huang, Yingjie Li, Fan Yang, Xiang Li

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

Comments 16 pages

Narrative Studio: Visual narrative exploration using LLMs and Monte Carlo Tree Search

Parsa Ghaffari, Chris Hokamp

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

ToRL: Scaling Tool-Integrated RL

Xuefeng Li, Haoyang Zou, Pengfei Liu

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

ToolGen: Unified Tool Retrieval and Calling via Generation

Renxi Wang, Xudong Han, Lei Ji, Shu Wang, Timothy Baldwin, Haonan Li

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

Comments ICLR 2025

Global-Local Tree Search in VLMs for 3D Indoor Scene Generation

Wei Deng, Mengshi Qi, Huadong Ma

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

Comments Accepted by CVPR 2025

A Schema-aware Logic Reformulation for Graph Reachability

Davide Di Pierro, Stephan Mennicke, Stefano Ferilli

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

DistDNAS: Search Efficient Feature Interactions within 2 Hours

Tunhou Zhang, Wei Wen, Igor Fedorov, Xi Liu, Buyun Zhang, Fangqiu Han, Wen-Yen Chen, Yiping Han, Feng Yan, Hai Li, Yiran Chen

专题命中 工具调用 ：workflow(abstract)；分类 cs.LG

Journal ref 2024 IEEE International Conference on Big Data

Simulation-Driven Balancing of Competitive Game Levels with Reinforcement Learning

Florian Rupp, Manuel Eberhardinger, Kai Eckert

专题命中 工具调用 ：agent(abstract)；分类 cs.LG

Comments Preprint of the journal (IEEE Transactions on Games) paper of the same name

Journal ref IEEE Transactions on Games, vol. 16, no. 4, pp. 903-913, 2024

BI-RADS prediction of mammographic masses using uncertainty information extracted from a Bayesian Deep Learning model

Mohaddeseh Chegini, Ali Mahloojifar

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

ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph

Langming Liu, Haibin Chen, Yuhao Wang, Yujin Yuan, Shilei Liu, Wenbo Su, Xiangyu Zhao, Bo Zheng

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

Fair Play in the Fast Lane: Integrating Sportsmanship into Autonomous Racing Systems

Zhenmin Huang, Ce Hao, Wei Zhan, Jun Ma, Masayoshi Tomizuka

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

Stone Soup Multi-Target Tracking Feature Extraction For Autonomous Search And Track In Deep Reinforcement Learning Environment

Jan-Hendrik Ewers, Joe Gibbs, David Anderson

专题命中 工具调用 ：agent(abstract)；分类 cs.LG

Comments Submitted to IEEE FUSION 2025

TRIFFID: Autonomous Robotic Aid For Increasing First Responders Efficiency

Jorgen Cani, Panagiotis Koletsis, Konstantinos Foteinos, Ioannis Kefaloukos, Lampros Argyriou, Manolis Falelakis, Iván Del Pino, Angel Santamaria-Navarro, Martin Čech, Ondřej Severa, Alessandro Umbrico, Francesca Fracasso, AndreA Orlandini, Dimitrios Drakoulis, Evangelos Markakis, Iraklis Varlamis, Georgios Th. Papadopoulos

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

How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities

Minhua Lin, Hui Liu, Xianfeng Tang, Jingying Zeng, Zhenwei Dai, Chen Luo, Zheng Li, Xiang Zhang, Qi He, Suhang Wang

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

Comments 31 pages, 9 figures, 18 tables

CURE: Simulation-Augmented Auto-Tuning in Robotics

Md Abir Hossen, Sonam Kharade, Jason M. O'Kane, Bradley Schmerl, David Garlan, Pooyan Jamshidi

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

Comments Accepted for publication in IEEE Transactions on Robotics (T-RO), 2025

Applications of deep reinforcement learning to urban transit network design

Andrew Holliday

专题命中 工具调用 ：agent(abstract)；分类 cs.LG

Comments This is a copy of my PhD thesis, which was successfully defended at McGill University in December of 2024. arXiv admin note: text overlap with arXiv:2404.05894