代码大模型 / AI 编程

MEPIC: Memory Efficient Position Independent Caching for LLM Serving

MEPIC：内存高效的无位置依赖缓存用于大语言模型服务

Qian Wang, Zahra Yousefijamarani, Morgan Lindsay Heisler, Rongzhi Gu, Bai Xiaolong, Shan Yizhou, Wei Zhang, Wang Lan, Ying Xiong, Yong Zhang, Zhenan Fan

机构 * Huawei Technologies Canada Co., Ltd.（华为技术加拿大有限公司） ； Huawei Technologies Co., Ltd.（华为技术有限公司） 纠错

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

AI总结 MEPIC通过内存高效的无位置依赖缓存技术，实现跨请求和批次的片段KV重用，显著减少HBM使用量，提升大语言模型服务性能。

A Systematic Study of Code Obfuscation Against LLM-based Vulnerability Detection

对抗基于大语言模型的漏洞检测的代码混淆系统研究

Xiao Li, Yue Li, Hao Wu, Yue Zhang, Yechao Zhang, Fengyuan Xu, Sheng Zhong

机构 * National Key Lab for Novel Software Technology, Nanjing University（新型软件技术国家重点实验室，南京大学） ； Shandong University（山东大学） ； Nanyang Technological University（南洋理工大学） 纠错

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

AI总结 本文系统研究了对抗基于大语言模型的漏洞检测的代码混淆技术，评估了不同混淆方法对LLM检测性能的影响，并提出了未来改进方向。

Multi-resolution Physics-Aware Recurrent Convolutional Neural Network for Complex Flows

多分辨率物理感知递归卷积神经网络用于复杂流体

Xinlun Cheng, Joseph Choi, H. S. Udaykumar, Stephen Baek

机构 * School of Data Science, University of Virginia（数据科学学院，弗吉尼亚大学） ； Department of Mechanical Engineering, University of Iowa（机械工程系，爱荷华大学） ； Department of Mechanical and Aerospace Engineering, University of Virginia（机械与航空航天工程系，弗吉尼亚大学） 纠错

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

AI总结 MRPARCv2通过多分辨率架构和物理约束提升复杂流体模拟精度与效率，显著优于单分辨率模型。

Journal ref APL Mach. Learn. 3, 046110 (2025)

Prism: A Minimal Compositional Metalanguage for Specifying Agent Behavior

Prism：一种最小的组合金属言用于指定代理行为

Franck Binard, Vanja Kljajevic

机构 * Deloitte AI（德勤人工智能） ； University of Oslo（奥斯陆大学） 纠错

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

AI总结 Prism通过组合性金属言为代理行为提供最小化规格，结合领域特定词汇与工具，实现可检查和可执行的策略定义。

What Characteristics Make ChatGPT Effective for Software Issue Resolution? An Empirical Study of Task, Project, and Conversational Signals in GitHub Issues

哪些特征使ChatGPT在软件问题解决中有效？对GitHub问题中任务、项目和对话信号的实证研究

Ramtin Ehsani, Sakshi Pathak, Esteban Parra, Sonia Haiduc, Preetha Chatterjee

专题命中 软件智能体 ：code generation(abstract)；分类 cs.SE

AI总结 本文研究了ChatGPT在软件问题解决中的有效性特征，发现其在代码生成和工具推荐方面表现较好，但代码解释能力较弱，且更受欢迎的项目和经验丰富的开发者从中受益更多。

Comments Accepted for publication in Empirical Software Engineering (EMSE), 2025

Journal ref Empirical Software Engineering, 31, 22 (2026)

SWE-Sharp-Bench: A Reproducible Benchmark for C# Software Engineering Tasks

Sanket Mhatre, Yasharth Bajpai, Sumit Gulwani, Emerson Murphy-Hill, Gustavo Soares

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

REIS: A High-Performance and Energy-Efficient Retrieval System with In-Storage Processing

Kangqi Chen, Andreas Kosmas Kakolyris, Rakesh Nadig, Manos Frouzakis, Nika Mansouri Ghiasi, Yu Liang, Haiyu Mao, Jisung Park, Mohammad Sadrosadati, Onur Mutlu

机构 * ETH Zürich（苏黎世联邦理工学院） ； King’s College London（伦敦国王学院） ； POSTECH 纠错

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

Comments Extended version of our publication at the 52nd International Symposium on Computer Architecture (ISCA-52), 2025

Combining LLMs and Knowledge Graphs to Reduce Hallucinations in Question Answering

Larissa Pusch, Tim O. F. Conrad

机构 * Zuse Institute Berlin（柏林泽尼茨研究所） 纠错

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

Agent Skills Enable a New Class of Realistic and Trivially Simple Prompt Injections

David Schmotz, Sahar Abdelnabi, Maksym Andriushchenko

机构 * ELLIS Institute Tübingen（图宾根ELLIS研究所） ； MPI for Intelligent Systems Tübingen（图宾根智能系统研究所） ； AI Center（人工智能中心） 纠错

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

Rapid Development of Omics Data Analysis Applications through Vibe Coding

Jesse G. Meyer

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

Back to the Basics: Rethinking Issue-Commit Linking with LLM-Assisted Retrieval

Huihui Huang, Ratnadira Widyasari, Ting Zhang, Ivana Clairine Irsan, Jieke Shi, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, Hong Jin Kang, David Lo

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

Extracting Conceptual Knowledge to Locate Software Issues

Ying Wang, Wenjun Mao, Chong Wang, Zhenhao Zhou, Yicheng Zhou, Wenyun Zhao, Yiling Lou, Xin Peng

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

Context Lineage Assurance for Non-Human Identities in Critical Multi-Agent Systems

Sumana Malkapuram, Sameera Gangavarapu, Kailashnath Reddy Kavalakuntla, Ananya Gangavarapu

机构 * Netflix ； Zoetis ； Ravenna 纠错

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

GAPrune: Gradient-Alignment Pruning for Domain-Aware Embeddings

Yixuan Tang, Yi Yang

机构 * The Hong Kong University of Science and Technology（香港科学与技术大学） 纠错

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

Comments https://github.com/yixuantt/GAPrune

Accelerating Latency-Critical Applications with AI-Powered Semi-Automatic Fine-Grained Parallelization on SMT Processors

Denis Los, Igor Petushkov

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

Journal ref International Journal of Open Information Technologies, vol. 13, no. 9, pp. 129-134, 2025

School of Reward Hacks: Hacking harmless tasks generalizes to misaligned behavior in LLMs

Mia Taylor, James Chua, Jan Betley, Johannes Treutlein, Owain Evans

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

Comments 42 pages, 26 figures

What Developers Ask to ChatGPT in GitHub Pull Requests? an Exploratory Study

Julyanara R. Silva, Carlos Eduardo C. Dantas, Marcelo A. Maia

专题命中 软件智能体 ：code generation(abstract)；分类 cs.SE

Comments 12 pages, 3 figures

Journal ref 12th Workshop on Software Visualization, Evolution and Maintenance, 2024

The next question after Turing's question: Introducing the Grow-AI test

Alexandru Tugui

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

Comments 9th International Conference on Inventive Systems and Control ICISC 2025

ChangePrism: Visualizing the Essence of Code Changes

Lei Chen, Michele Lanza, Shinpei Hayashi

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

Comments (C) 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

Agentic Business Process Management: Practitioner Perspectives on Agent Governance in Business Processes

Hoang Vu, Nataliia Klievtsova, Henrik Leopold, Stefanie Rinderle-Ma, Timotheus Kampik

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

Comments Accepted for Responsible BPM 2025, 15 pages including references

API Agents vs. GUI Agents: Divergence and Convergence

Chaoyun Zhang, Shilin He, Liqun Li, Si Qin, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

机构 * Microsoft（微软） 纠错

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

Acoustic Waveform Inversion with Image-to-Image Schrödinger Bridges

A. S. Stankevich, I. B. Petrov

机构 * Moscow Institute of Physics and Technology（莫斯科物理技术学院） 纠错

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

Comments Submitted to "Computational Mathematics And Mathematical Physics", ISSN 1555-6662, issue 8, August 2025

Beyond Browsing: API-Based Web Agents

Yueqi Song, Frank Xu, Shuyan Zhou, Graham Neubig

机构 * Carnegie Mellon University（卡内基梅隆大学） 纠错

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

Comments 20 pages, 8 figures

Agentic AI and Multiagentic: Are We Reinventing the Wheel?

V. Botti

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

LlamaFirewall: An open source guardrail system for building secure AI agents

Sahana Chennabasappa, Cyrus Nikolaidis, Daniel Song, David Molnar, Stephanie Ding, Shengye Wan, Spencer Whitman, Lauren Deason, Nicholas Doucette, Abraham Montilla, Alekhya Gampa, Beto de Paola, Dominik Gabi, James Crnkovich, Jean-Christophe Testud, Kat He, Rashnil Chaturvedi, Wu Zhou, Joshua Saxe

机构 * Meta 纠错

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

APG-MOS: Auditory Perception Guided-MOS Predictor for Synthetic Speech

Zhicheng Lian, Lizhi Wang, Hua Huang

机构 * Beijing Normal University（北京师范大学） 纠错

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

On the Prevalence and Usage of Commit Signing on GitHub: A Longitudinal and Cross-Domain Study

Anupam Sharma, Sreyashi Karmakar, Gayatri Priyadarsini Kancherla, Abhishek Bichhawat

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

Comments Accepted as a conference paper at EASE 2025

Understanding Code Change with Micro-Changes

Lei Chen, Michele Lanza, Shinpei Hayashi

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

Comments 12 pages, 10 figures, ICSME 2024

Journal ref Proceedings of the 40th IEEE International Conference on Software Maintenance and Evolution, 363-374, 2024

Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization

Yuxin Jiang, Bo Huang, Yufei Wang, Xingshan Zeng, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Wei Wang

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

Comments 20 pages, 9 figures, 12 tables. Accepted at ICLR 2025

Efficient Multi-Agent Collaboration with Tool Use for Online Planning in Complex Table Question Answering

Wei Zhou, Mohsen Mesgar, Annemarie Friedrich, Heike Adel

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

Comments Accepted at NAACL 2025 Findings