AI Agent - arXivDaily 专题

2407.07575 2025-06-23 cs.LG cs.NI 70%

Resource Allocation for Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing Network

Yu Xie, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Jiangzhou Wang, Khaled B. Letaief

机构 * School of Internet of Things Engineering, Jiangnan University（江南大学物联网工程学院）； School of Information Engineering, Jiangxi Provincial Key Laboratory of Advanced Signal Processing and Intelligent Communications, Nanchang University（江西省先进信号处理与智能通信重点实验室信息工程学院）； Department of Electronic Engineering, State Key Laboratory of Space Network and Communications, and the Beijing National Research Center for Information Science and Technology, Tsinghua University（电子工程系、空间网络与通信国家重点实验室及北京信息科学与技术国家研究中心、清华大学）； State Key Lab. of ISN and School of Telecommunications Engineering, Xidian University（信息与通信工程学院、西安电子科技大学信息与通信系统国家重点实验室）； Department of Electronic Engineering, Shanghai JiaoTong University（电子工程系、上海交通大学）； School of Information Science and Engineering, Southeast University（信息科学与工程学院、东南大学）

专题命中软件智能体：agent(abstract)；multi-agent(abstract)；分类 cs.LG

Comments This paper has been accepted by IEEE Internet of Things Journal. The source code has been released at:https://github.com/qiongwu86/Resource-allocation-for-twin-maintenance-and-computing-tasks-in-digital-twin-mobile-edge-network

2506.11781 2025-06-16 cs.HC cs.SE 70%

GeoPandas-AI: A Smart Class Bringing LLM as Stateful AI Code Assistant

Gaspard Merten, Gilles Dejaegere, Mahmoud Sakr

专题命中软件智能体：planning(abstract)；workflow(abstract)；分类 cs.SE

Comments Submitted to ACM SIGSPATIAL 2025

2506.11009 2025-06-16 cs.SE 70%

Human-In-The-Loop Software Development Agents: Challenges and Future Directions

Jirat Pasuksmit, Wannita Takerngsaksiri, Patanamon Thongtanunam, Chakkrit Tantithamthavorn, Ruixiong Zhang, Shiyan Wang, Fan Jiang, Jing Li, Evan Cook, Kun Chen, Ming Wu

专题命中软件智能体：agent(abstract)；multi-agent(abstract)；分类 cs.SE

Comments The International Conference on Mining Software Repositories (MSR) 2025, Industry track

2410.20285 2025-04-03 cs.AI 70%

SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement

Antonis Antoniades, Albert Örwall, Kexun Zhang, Yuxi Xie, Anirudh Goyal, William Wang

专题命中软件智能体：agent(abstract)；multi-agent(abstract)；分类 cs.AI

Comments Main body: 10 pages, 5 figures. Appendix: 5 pages, 4 figures. Open-source codebase

2503.11085 2025-03-17 cs.SE 70%

Prompt Alchemy: Automatic Prompt Refinement for Enhancing Code Generation

Sixiang Ye, Zeyu Sun, Guoqing Wang, Liwei Guo, Qingyuan Liang, Zheng Li, Yong Liu

专题命中软件智能体：agent(abstract)；multi-agent(abstract)；分类 cs.SE

2410.14209 2024-12-30 cs.SE 70%

Agents4PLC: Automating Closed-loop PLC Code Generation and Verification in Industrial Control Systems using LLM-based Agents

Zihan Liu, Ruinan Zeng, Dongxia Wang, Gengyun Peng, Jingyi Wang, Qiang Liu, Peiyu Liu, Wenhai Wang

专题命中软件智能体：agent(abstract)；multi-agent(abstract)；分类 cs.SE

Comments 12 pages (references included), 6 figures and 3 tables. New version updated with fixed site and github repo and along with some minor adjustements

2405.12641 2024-12-02 cs.SE 70%

Fight Fire with Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks?

Xiao Yu, Lei Liu, Xing Hu, Jacky Wai Keung, Jin Liu, Xin Xia

专题命中软件智能体：agent(abstract)；multi-agent(abstract)；分类 cs.SE

2411.16723 2024-11-27 cs.MA cs.AI cs.RO 70%

Two Heads Are Better Than One: Collaborative LLM Embodied Agents for Human-Robot Interaction

Mitchell Rosser, Marc. G Carmichael

专题命中软件智能体：agent(abstract)；AI agent(abstract)；分类 cs.AI

Comments 9 pages, 10 figures

2407.01489 2024-10-30 cs.SE cs.AI cs.CL cs.LG 70%

Agentless: Demystifying LLM-based Software Engineering Agents

Chunqiu Steven Xia, Yinlin Deng, Soren Dunn, Lingming Zhang

专题命中软件智能体：agent(abstract)；分类 cs.AI、cs.CL、cs.LG

2408.08676 2024-10-15 cs.AI astro-ph.IM 70%

Fine-tuning LLMs for Autonomous Spacecraft Control: A Case Study Using Kerbal Space Program

Alejandro Carrasco, Victor Rodriguez-Fernandez, Richard Linares

专题命中软件智能体：agent(abstract)；autonomous agent(abstract)；分类 cs.AI

Comments ESA SPAICE Conference 2024. arXiv admin note: text overlap with arXiv:2404.00413

2402.02172 2024-09-26 cs.SE 70%

CodeAgent: Autonomous Communicative Agents for Code Review

Xunzhu Tang, Kisub Kim, Yewei Song, Cedric Lothritz, Bei Li, Saad Ezzini, Haoye Tian, Jacques Klein, Tegawende F. Bissyande

专题命中软件智能体：agent(abstract)；multi-agent(abstract)；分类 cs.SE

2409.07918 2024-09-13 cs.HC cs.AI cs.SD eess.AS 70%

Tidal MerzA: Combining affective modelling and autonomous code generation through Reinforcement Learning

Elizabeth Wilson, György Fazekas, Geraint Wiggins

专题命中软件智能体：agent(abstract)；autonomous agent(abstract)；分类 cs.AI

2409.04465 2024-09-10 cs.AI 70%

Here's Charlie! Realising the Semantic Web vision of Agents in the age of LLMs

Jesse Wright

专题命中软件智能体：agent(abstract)；autonomous agent(abstract)；分类 cs.AI

Comments The 23rd International Semantic Web Conference, November 11--15, 2024, Hanover, MD - Posters and Demos track

2310.06830 2024-08-27 cs.CL 70%

Lemur: Harmonizing Natural Language and Code for Language Agents

Yiheng Xu, Hongjin Su, Chen Xing, Boyu Mi, Qian Liu, Weijia Shi, Binyuan Hui, Fan Zhou, Yitao Liu, Tianbao Xie, Zhoujun Cheng, Siheng Zhao, Lingpeng Kong, Bailin Wang, Caiming Xiong, Tao Yu

专题命中软件智能体：agent(abstract)；planning(abstract)；分类 cs.CL

Comments ICLR 2024 Spotlight; https://github.com/OpenLemur/Lemur

2312.09007 2024-08-12 cs.IT cs.AI math.IT 70%

LLMind: Orchestrating AI and IoT with LLM for Complex Task Execution

Hongwei Cui, Yuyang Du, Qun Yang, Yulin Shao, Soung Chang Liew

专题命中软件智能体：agent(abstract)；AI agent(abstract)；分类 cs.AI

2403.15157 2024-04-04 cs.SE 70%

AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models

Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

专题命中软件智能体：agent(abstract)；workflow(abstract)；分类 cs.SE

2304.08103 2024-04-02 cs.CL cs.HC 70%

Low-code LLM: Graphical User Interface over Large Language Models

Yuzhe Cai, Shaoguang Mao, Wenshan Wu, Zehua Wang, Yaobo Liang, Tao Ge, Chenfei Wu, Wang You, Ting Song, Yan Xia, Jonathan Tien, Nan Duan, Furu Wei

专题命中软件智能体：planning(abstract)；workflow(abstract)；分类 cs.CL

Comments Accepted as a Demo Track paper at NAACL 2024

2403.06465 2024-03-12 cs.IR cs.AI 70%

RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems

Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, Xing Xie

专题命中软件智能体：agent(abstract)；AI agent(abstract)；分类 cs.AI

Comments 4 pages. Webconf 2024 demo track

2306.03034 2024-03-01 cs.AI cs.HC 70%

Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination

Yang Li, Shao Zhang, Jichen Sun, Wenhao Zhang, Yali Du, Ying Wen, Xinbing Wang, Wei Pan

专题命中软件智能体：agent(abstract)；AI agent(abstract)；分类 cs.AI

Comments 46 pages. arXiv admin note: substantial text overlap with arXiv:2302.04831

2310.08331 2024-02-21 stat.ML cs.LG 70%

Dealing with uncertainty: balancing exploration and exploitation in deep recurrent reinforcement learning

Valentina Zangirolami, Matteo Borrotti

专题命中软件智能体：agent(abstract)；autonomous agent(abstract)；分类 cs.LG

Comments 28 pages, added renferences, corrected typos, revised argument in section 3, results unchanged, redifinition of the article structure

2302.04012 2023-10-24 cs.CR cs.AI cs.CL cs.LG cs.SE 70%

CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models

Hossein Hajipour, Keno Hassler, Thorsten Holz, Lea Schönherr, Mario Fritz

专题命中软件智能体：workflow(abstract)；分类 cs.AI、cs.CL、cs.LG

Comments 23 pages, 9 figures

2102.09824 2023-06-08 cs.LG cs.MA 70%

Sim-Env: Decoupling OpenAI Gym Environments from Simulation Models

Andreas Schuderer, Stefano Bromuri, Marko van Eekelen

专题命中软件智能体：agent(abstract)；workflow(abstract)；分类 cs.LG

Comments 17 pages, 6 figures, v2 adds supplementary material (4 pages) and 2 ancillary code files

2302.12314 2023-02-27 cs.AI 70%

Characterizing Novelty in the Military Domain

Theresa Chadwick, James Chao, Christianne Izumigawa, George Galdorisi, Hector Ortiz-Pena, Elias Loup, Nicholas Soultanian, Mitch Manzanares, Adrian Mai, Richmond Yen, Douglas S. Lange

专题命中软件智能体：agent(abstract)；AI agent(abstract)；分类 cs.AI

Comments Submitted to ICCRTS: International Command and Control Research and Technology Symposium. 8 pages. 5 Figures

2109.12674 2022-07-19 cs.LG cs.RO 70%

MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning

Quanyi Li, Zhenghao Peng, Lan Feng, Qihang Zhang, Zhenghai Xue, Bolei Zhou

专题命中软件智能体：agent(abstract)；multi-agent(abstract)；分类 cs.LG

Comments Source code, documentation, and demo video are available at https://metadriverse.github.io/metadrive . More research projects based on MetaDrive simulator are listed at https://metadriverse.github.io

2102.11137 2021-11-03 cs.AI 70%

Program Synthesis Guided Reinforcement Learning for Partially Observed Environments

Yichen David Yang, Jeevana Priya Inala, Osbert Bastani, Yewen Pu, Armando Solar-Lezama, Martin Rinard

专题命中软件智能体：agent(abstract)；planning(abstract)；分类 cs.AI

Journal ref NeurIPS 2021

2105.13807 2021-07-29 cs.LG 70%

Gym-$μ$RTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning

Shengyi Huang, Santiago Ontañón, Chris Bamford, Lukasz Grela

专题命中软件智能体：agent(abstract)；autonomous agent(abstract)；分类 cs.LG

Comments Accepted to IEEE Conference of Games (COG) 2021. See the blog post at https://wandb.ai/vwxyzjn/gym-microrts-paper/reports/Gym-RTS-Toward-Affordable-Deep-Reinforcement-Learning-Research-in-Real-Time-Strategy-Games--Vmlldzo2MDIzMTg and the source code at https://github.com/vwxyzjn/gym-microrts-paper

2106.10446 2021-06-22 cs.CV cs.AI 70%

Attend What You Need: Motion-Appearance Synergistic Networks for Video Question Answering

Ahjeong Seo, Gi-Cheon Kang, Joonhan Park, Byoung-Tak Zhang

专题命中软件智能体：agent(abstract)；AI agent(abstract)；分类 cs.AI

Comments ACL 2021

2008.02265 2021-04-06 cs.CV cs.LG eess.IV 70%

Learning Long-term Visual Dynamics with Region Proposal Interaction Networks

Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik

专题命中软件智能体：agent(abstract)；planning(abstract)；分类 cs.LG

Comments ICLR 2021; Code: https://github.com/HaozhiQi/RPIN Website: https://haozhiqi.github.io/RPIN/ v5: update PHYRE results of each evaluation fold

1904.00243 2019-09-20 cs.LG stat.ML 70%

Symmetry-Based Disentangled Representation Learning requires Interaction with Environments

Hugo Caselles-Dupré, Michael Garcia-Ortiz, David Filliat

专题命中软件智能体：agent(abstract)；autonomous agent(abstract)；分类 cs.LG

Comments 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada

1811.09852 2019-03-11 cs.SE 70%

How to Design a Program Repair Bot? Insights from the Repairnator Project

Simon Urli, Zhongxing Yu, Lionel Seinturier, Martin Monperrus

专题命中软件智能体：agent(abstract)；autonomous agent(abstract)；分类 cs.SE

Journal ref Proceedings of ICSE, Software Engineering in Practice, 2018

1. 软件智能体 3244 篇

Resource Allocation for Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing Network

GeoPandas-AI: A Smart Class Bringing LLM as Stateful AI Code Assistant

Human-In-The-Loop Software Development Agents: Challenges and Future Directions

SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement

Prompt Alchemy: Automatic Prompt Refinement for Enhancing Code Generation

Agents4PLC: Automating Closed-loop PLC Code Generation and Verification in Industrial Control Systems using LLM-based Agents

Fight Fire with Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks?

Two Heads Are Better Than One: Collaborative LLM Embodied Agents for Human-Robot Interaction

Agentless: Demystifying LLM-based Software Engineering Agents

Fine-tuning LLMs for Autonomous Spacecraft Control: A Case Study Using Kerbal Space Program

CodeAgent: Autonomous Communicative Agents for Code Review

Tidal MerzA: Combining affective modelling and autonomous code generation through Reinforcement Learning

Here's Charlie! Realising the Semantic Web vision of Agents in the age of LLMs

Lemur: Harmonizing Natural Language and Code for Language Agents

LLMind: Orchestrating AI and IoT with LLM for Complex Task Execution

AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models

Low-code LLM: Graphical User Interface over Large Language Models

RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems

Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination

Dealing with uncertainty: balancing exploration and exploitation in deep recurrent reinforcement learning

CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models

Sim-Env: Decoupling OpenAI Gym Environments from Simulation Models

Characterizing Novelty in the Military Domain

MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning

Program Synthesis Guided Reinforcement Learning for Partially Observed Environments

Gym-$μ$RTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning

Attend What You Need: Motion-Appearance Synergistic Networks for Video Question Answering

Learning Long-term Visual Dynamics with Region Proposal Interaction Networks

Symmetry-Based Disentangled Representation Learning requires Interaction with Environments

How to Design a Program Repair Bot? Insights from the Repairnator Project