代码大模型 / AI 编程

From Code to Play: Benchmarking Program Search for Games Using Large Language Models

Manuel Eberhardinger, James Goodman, Alexander Dockhorn, Diego Perez-Liebana, Raluca D. Gaina, Duygu Çakmak, Setareh Maghsudi, Simon Lucas

机构 * Institute of Applied AI, Stuttgart Media University（应用人工智能研究所，斯图加特媒体大学） ； School of Electronic Engineering and Computer Science, Queen Mary University of London（电子工程与计算机科学学院，伦敦女王大学） ； Institute for Information Processing, Leibniz University Hannover（信息处理研究所，汉诺威莱布尼茨大学） ； Creative Assembly（创意装配） ； Chair of Learning Technical Systems, Ruhr-University Bochum（学习技术系统教授职位，博德鲁姆鲁尔大学） 纠错

专题命中 代码生成 ：program synthesis(abstract)；分类 cs.AI

Comments Submitted to Transactions on Games Special Issue on Large Language Models and Games, standardised LLMs used and run more experiments

Bounded Model Checking of RISC-V Machine Code with Context-Free-Language Ordered Binary Decision Diagrams

Anna Bolotina, Christoph M. Kirsch, Stefanie Muroya Lei, Matthias Pleschinger

专题命中 代码生成 ：code generation(abstract)；分类 cs.PL

Synthesizing world models for bilevel planning

Zergham Ahmed, Joshua B. Tenenbaum, Christopher J. Bates, Samuel J. Gershman

专题命中 代码生成 ：program synthesis(abstract)；分类 cs.AI

Comments Accepted to TMLR

WeGeFT: Weight-Generative Fine-Tuning for Multi-Faceted Efficient Adaptation of Large Models

Chinmay Savadikar, Xi Song, Tianfu Wu

机构 * Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, USA（电气与计算机工程系，北卡罗来纳州立大学，拉leys，美国） 纠错

专题命中 代码生成 ：code generation(abstract)；分类 cs.LG

Comments Accepted to ICML25

The Impact of Generative AI on Code Expertise Models: An Exploratory Study

Otávio Cury, Guilherme Avelino

专题命中 代码生成 ：code generation(abstract)；分类 cs.SE

Automating MD simulations for Proteins using Large language Models: NAMD-Agent

Achuth Chandrasekhar, Amir Barati Farimani

机构 * Materials Science and Engineering（材料科学与工程） ； Mechanical Engineering（机械工程） ； Biomedical Engineering（生物医学工程） ； Chemical Engineering（化学工程） ； Machine Learning Department（机器学习部门） 纠错

专题命中 代码生成 ：code generation(abstract)；分类 cs.CL

Comments 34 pages

From Requirements to Code: Understanding Developer Practices in LLM-Assisted Software Engineering

Jonathan Ullrich, Matthias Koch, Andreas Vogelsang

专题命中 代码生成 ：code generation(abstract)；分类 cs.SE

Comments This paper has been accepted for publication at the 33rd IEEE International Requirements Engineering (RE) conference

AI's Euclid's Elements Moment: From Language Models to Computable Thought

Xinmin Fang, Lingfeng Tao, Zhengxiong Li

机构 * Department of Computer Science and Engineering（计算机科学与工程系） ； University of Colorado Denver (CU Denver)（科罗拉多大学丹佛分校） ； Department of Robotics and Mechatronics（机器人与机电学系） ； Kennesaw State University (KSU)（凯斯维尔州立大学） 纠错

专题命中 代码生成 ：program synthesis(abstract)；分类 cs.AI

A Semantic Parsing Framework for End-to-End Time Normalization

Xin Su, Sungduk Yu, Phillip Howard, Steven Bethard

机构 * Intel Labs（英特尔实验室） ； Thoughtworks ； University of Arizona（亚利桑那大学） 纠错

专题命中 代码生成 ：code generation(abstract)；分类 cs.CL

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code

Susmita Das, Madhusudan Ghosh, Priyanka Swami, Debasis Ganguly, Gul Calikli

专题命中 代码生成 ：code generation(abstract)；分类 cs.SE

AuraGenome: An LLM-Powered Framework for On-the-Fly Reusable and Scalable Circular Genome Visualizations

Chi Zhang, Yu Dong, Yang Wang, Yuetong Han, Guihua Shan, Bixia Tang

机构 * Computer Network Information Center, Chinese Academy of Sciences（中国科学院计算机网络信息中心） ； University of Chinese Academy of Sciences（中国科学院大学） ； Hangzhou Institute for Advanced Study, UCAS（杭州先进研究所） ； National Genomics Data Center, China National Center for Bioinformation（国家基因组科学数据中心） ； Beijing Institute of Genomics, Chinese Academy of Sciences（中国科学院北京基因组研究所） 纠错

专题命中 代码生成 ：code generation(abstract)；分类 cs.AI

Beyond Code: The Multidimensional Impacts of Large Language Models in Software Development

Sardar Bonabi, Sarah Bana, Vijay Gurbaxani, Tingting Nian

专题命中 代码生成 ：code generation(abstract)；分类 cs.AI

Evaluating and Improving Large Language Models for Competitive Program Generation

Minnan Wei, Ziming Li, Xiang Chen, Menglin Zheng, Ziyan Qu, Cheng Yu, Siyu Chen, Xiaolin Ju

专题命中 代码生成 ：code generation(abstract)；分类 cs.SE

Concept-Level AI for Telecom: Moving Beyond Large Language Models

Viswanath Kumarskandpriya, Abdulhalim Dandoush, Abbas Bradai, Ali Belgacem

机构 * Esme Research Lab, SA ESME, Ivry-Sur-Seine, France（Esme研究实验室，SA ESME，法国伊维尔--sur-塞纳） ； University of Doha for Science and Technology (UDST)（多哈科学技术大学） ； Côte d'Azur University, LEAT, Sophia Antipolis, France（蔚蓝海岸大学，LEAT，法国索菲亚-安蒂波利斯） 纠错

专题命中 代码生成 ：code generation(abstract)；分类 cs.AI

Training Language Model to Critique for Better Refinement

Tianshu Yu, Chao Xiang, Mingchuan Yang, Pei Ke, Bosi Wen, Cunxiang Wang, Jiale Cheng, Li Zhang, Xinyu Mu, Chuxiong Sun, Minlie Huang

机构 * China Telecom Research Institute（中国电信研究院） ； The Conversational Artificial Intelligence (CoAI) Group, Tsinghua University（清华大学对话人工智能（CoAI）小组） ； University of Electronic Science and Technology of China（电子科技大学） ； The Knowledge Engineering Group (KEG), Tsinghua University（清华大学知识工程小组） ； Zhipu AI（智谱AI） 纠错

专题命中 代码生成 ：code generation(abstract)；分类 cs.CL

Comments Accepted to ACL 2025 Findings

Exploring the Capabilities of the Frontier Large Language Models for Nuclear Energy Research

Ahmed Almeldein, Mohammed Alnaggar, Rick Archibald, Tom Beck, Arpan Biswas, Rike Bostelmann, Wes Brewer, Chris Bryan, Christopher Calle, Cihangir Celik, Rajni Chahal, Jong Youl Choi, Arindam Chowdhury, Mark Cianciosa, Franklin Curtis, Gregory Davidson, Sebastian De Pascuale, Lisa Fassino, Ana Gainaru, Yashika Ghai, Luke Gibson, Qian Gong, Christopher Greulich, Scott Greenwood, Cory Hauck, Ehab Hassan, Rinkle Juneja, Soyoung Kang, Scott Klasky, Atul Kumar, Vineet Kumar, Paul Laiu, Calvin Lear, Yan-Ru Lin, Jono McConnell, Furkan Oz, Rishi Pillai, Anant Raj, Pradeep Ramuhalli, Marie Romedenne, Samantha Sabatino, José Salcedo-Pérez, Nathan D. See, Arpan Sircar, Punam Thankur, Tim Younkin, Xiao-Ying Yu, Prashant Jain, Tom Evans, Prasanna Balaprakash

机构 * Oak Ridge National Laboratory（橡树岭国家实验室） 纠错

专题命中 代码生成 ：code generation(abstract)；分类 cs.AI

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models

Dipayan Saha, Shams Tarek, Hasan Al Shaikh, Khan Thamid Hasan, Pavan Sai Nalluri, Md. Ajoad Hasan, Nashmin Alam, Jingbo Zhou, Sujan Kumar Saha, Mark Tehranipoor, Farimah Farahmandi

机构 * Department of Electrical and Computer Engineering, University of Florida（电子与计算机工程系，佛罗里达大学） 纠错

专题命中 代码生成 ：code generation(abstract)；分类 cs.AI

From Reproduction to Replication: Evaluating Research Agents with Progressive Code Masking

Gyeongwon James Kim, Alex Wilf, Louis-Philippe Morency, Daniel Fried

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

专题命中 代码生成 ：code generation(abstract)；分类 cs.AI

Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps

Jiashun Cheng, Aochuan Chen, Nuo Chen, Ziqi Gao, Yuhan Li, Jia Li, Fugee Tsung

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

专题命中 代码生成 ：code generation(abstract)；分类 cs.LG

Comments 18 pages; Accepted to ACL 2025 Findings

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity

Samir Khaki, Xiuyu Li, Junxian Guo, Ligeng Zhu, Chenfeng Xu, Konstantinos N. Plataniotis, Amir Yazdanbakhsh, Kurt Keutzer, Song Han, Zhijian Liu

机构 * University of Toronto（多伦多大学） ； MIT（麻省理工学院） ； Google DeepMind（谷歌DeepMind） 纠错

专题命中 代码生成 ：code generation(abstract)；分类 cs.LG

Comments ICML 2025. The first three authors contributed equally to this work. Project page: https://z-lab.ai/projects/sparselora

PR-Attack: Coordinated Prompt-RAG Attacks on Retrieval-Augmented Generation in Large Language Models via Bilevel Optimization

Yang Jiao, Xiaodong Wang, Kai Yang

机构 * Tongji University（同济大学） ； Columbia University（哥伦比亚大学） 纠错

专题命中 代码生成 ：code generation(abstract)；分类 cs.AI

Comments Accepted at SIGIR 2025

CDS: Knowledge Component-Driven Data Synthesis Guided by Cognitive Diagnosis Theory

Haokun Zhao, Jinyi Han, Jiaqing Liang, Yanghua Xiao, Xiaojun Meng, Jiansheng Wei

机构 * College of Computer Science and Artificial Intelligence, Fudan University（复旦大学计算机科学与人工智能学院） ； Shanghai Institute of Artificial Intelligence for Education, East China Normal University（华东师范大学教育人工智能研究所） ； School of Data Science, Fudan University（复旦大学数据科学学院） ； Huawei Noah’s Ark Lab（华为诺亚实验室） 纠错

专题命中 代码生成 ：code generation(abstract)；分类 cs.AI

WAMI: Compilation to WebAssembly through MLIR without Losing Abstraction

Byeongjee Kang, Harsh Desai, Limin Jia, Brandon Lucia

专题命中 代码生成 ：code generation(abstract)；分类 cs.PL

Sketch-Plan-Generalize: Learning and Planning with Neuro-Symbolic Programmatic Representations for Inductive Spatial Concepts

Namasivayam Kalithasan, Sachit Sachdeva, Himanshu Gaurav Singh, Vishal Bindal, Arnav Tuli, Gurarmaan Singh Panjeta, Harsh Himanshu Vora, Divyanshu Aggarwal, Rohan Paul, Parag Singla

专题命中 代码生成 ：code generation(abstract)；分类 cs.LG

Comments Programmatic Representations for Agent Learning Worskop, ICML 2025

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

Gaspard Merten, Gilles Dejaegere, Mahmoud Sakr

专题命中 代码生成 ：code generation(abstract)；分类 cs.SE

Comments Submitted to ACM SIGSPATIAL 2025

Augmenting the Generality and Performance of Large Language Models for Software Engineering

Fabian C. Peña

专题命中 代码生成 ：code generation(abstract)；分类 cs.SE

Journal ref 2025 IEEE/ACM 46th International Conference on Software Engineering (ICSE)

From Idea to Implementation: Evaluating the Influence of Large Language Models in Software Development -- An Opinion Paper

Sargam Yadav, Asifa Mehmood Qureshi, Abhishek Kaushik, Shubham Sharma, Roisin Loughran, Subramaniam Kazhuparambil, Andrew Shaw, Mohammed Sabry, Niamh St John Lynch, . Nikhil Singh, Padraic O'Hara, Pranay Jaiswal, Roshan Chandru, David Lillis

机构 * School of Informatics and Creative Arts（信息学与创意艺术学院） ； Dundalk Institute of Technology（邓达克理工学院） ； The Centre for Research in Engineering Surface Technology (CREST)（工程表面技术研究中心） ； TU Dublin（都柏林大学技术学院） ； Zendesk（Zendesk公司） ； Department of Computing Science and Mathematics（计算科学与数学系） ； ADAPT Centre（ADAPT中心） ； National College of Ireland（国家学院） ； School of Computer Science, University College Dublin (UCD)（计算机科学学院，都柏林大学学院（UCD）） 纠错

专题命中 代码生成 ：code generation(abstract)；分类 cs.AI

Comments The project is partially supported by the DkIT Postgraduate Scholarship, Research Ireland under Grant number 13/RC/2094_2, and Grant number 21/FFP-A/925

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length

Junhang Cheng, Fang Liu, Chengru Wu, Li Zhang

专题命中 代码生成 ：code generation(abstract)；分类 cs.SE

Comments Accepted by Internetware 2025

LLMs Caught in the Crossfire: Malware Requests and Jailbreak Challenges

Haoyang Li, Huan Gao, Zhiyuan Zhao, Zhiyu Lin, Junyu Gao, Xuelong Li

机构 * Institute of Artificial Intelligence (TeleAI), China Telecom（人工智能研究院（TeleAI），中国电信） ； Beihang University（北京航空航天大学） ； Beijing Jiaotong University（北京交通大学） ； Northwestern Polytechnical University（西北工业大学） 纠错

专题命中 代码生成 ：code generation(abstract)；分类 cs.AI

Comments Accepted as ACL 2025 main conference

BeamLoRA: Beam-Constraint Low-Rank Adaptation

Naibin Gu, Zhenyu Zhang, Xiyu Liu, Peng Fu, Zheng Lin, Shuohuan Wang, Yu Sun, Hua Wu, Weiping Wang, Haifeng Wang

机构 * Institute of Information Engineering, Chinese Academy of Sciences（中国科学院信息工程研究所） ； School of Cyber Security, University of Chinese Academy of Sciences（中国科学院大学网络安全学院） ； Baidu Inc.（百度公司） 纠错

专题命中 代码生成 ：code generation(abstract)；分类 cs.CL

Comments Accepted by ACL 2025