代码大模型 / AI 编程

Evaluating the Energy-Efficiency of the Code Generated by LLMs

Md Arman Islam, Devi Varaprasad Jonnala, Ritika Rekhi, Pratik Pokharel, Siddharth Cilamkoti, Asif Imran, Tevfik Kosar, Bekir Turkkan

机构 * University at Buffalo（布法罗大学） ； IBM Research（IBM研究院） 纠错

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

ComplexFormer: Disruptively Advancing Transformer Inference Ability via Head-Specific Complex Vector Attention

Jintian Shao, Hongyi Huang, Jiayi Wu, Beiwen Zhang, ZhiYu Wu, You Shan, MingKai Zheng

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

Comments We are withdrawing this submission as the underlying experiment is currently incomplete. We require additional time to gather more data and supplement the existing findings to ensure a comprehensive and robust presentation. We intend to resubmit once these additions are finalized

Subtle Errors in Reasoning: Preference Learning via Error-injected Self-editing

Kaishuai Xu, Tiezheng Yu, Wenjun Hou, Yi Cheng, Chak Tou Leong, Liangyou Li, Xin Jiang, Lifeng Shang, Qun Liu, Wenjie Li

机构 * The Hong Kong Polytechnic University（香港理工大学） ； 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.CL、cs.AI

Comments accepted as ACL 2025 main

Large Language Models in Code Co-generation for Safe Autonomous Vehicles

Ali Nouri, Beatriz Cabrero-Daniel, Zhennan Fei, Krishna Ronanki, Håkan Sivencrona, Christian Berger

机构 * Volvo Cars（沃尔沃汽车公司） ； University of Gothenburg（哥德堡大学） ； Chalmers University of Technology（查尔姆斯理工大学） 纠错

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

Comments Accepted in the 44th International Conference on Computer Safety, Reliability and Security (SafeComp 2025)

Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs

Hao Kang, Qingru Zhang, Han Cai, Weiyuan Xu, Tushar Krishna, Yilun Du, Tsachy Weissman

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

Training Turn-by-Turn Verifiers for Dialogue Tutoring Agents: The Curious Case of LLMs as Your Coding Tutors

Jian Wang, Yinpei Dai, Yichi Zhang, Ziqiao Ma, Wenjie Li, Joyce Chai

机构 * The Hong Kong Polytechnic University（香港理工大学） ； University of Michigan（密歇根大学） 纠错

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

Comments Accepted to Findings of ACL 2025

Generalizing Large Language Model Usability Across Resource-Constrained

Yun-Da Tsai

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

Comments Doctoral disstertation

Planning-Driven Programming: A Large Language Model Programming Workflow

Chao Lei, Yanchuan Chang, Nir Lipovetzky, Krista A. Ehinger

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

Genetic Instruct: Scaling up Synthetic Generation of Coding Instructions for Large Language Models

Somshubra Majumdar, Vahid Noroozi, Mehrzad Samadi, Sean Narenthiran, Aleksander Ficek, Wasi Uddin Ahmad, Jocelyn Huang, Jagadeesh Balam, Boris Ginsburg

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

Comments Accepted to be presented in ACL 2025

ASMA-Tune: Unlocking LLMs' Assembly Code Comprehension via Structural-Semantic Instruction Tuning

Xinyi Wang, Jiashui Wang, Jinbo Su, Ke Wang, Peng Chen, Yanming Liu, Long Liu, Xiang Li, Yangdong Wang, Qiyuan Chen, Rongze Chen, Chunfu Jia

机构 * Nankai University（南开大学） ； Zhejiang University（浙江大学） ； Ant Group（蚂蚁集团） ； Renmin University of China（中国人民大学） ； University of the Chinese Academy of Sciences（中国科学院大学） 纠错

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

Comments 9 pages, multiple figures

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

Junlong Li, Daya Guo, Dejian Yang, Runxin Xu, Yu Wu, Junxian He

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

Comments ICML 2025

CodeGRAG: Bridging the Gap between Natural Language and Programming Language via Graphical Retrieval Augmented Generation

Kounianhua Du, Jizheng Chen, Renting Rui, Huacan Chai, Lingyue Fu, Wei Xia, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang

机构 * Shanghai Jiao Tong University（上海交通大学） ； Huawei Noah’s Ark Lab Shanghai（华为诺亚实验室） 纠错

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

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection

Tiankai Yang, Junjun Liu, Wingchun Siu, Jiahang Wang, Zhuangzhuang Qian, Chanjuan Song, Cheng Cheng, Xiyang Hu, Yue Zhao

机构 * University of Southern California（南加州大学） ； Carnegie Mellon University（卡内基梅隆大学） ； Arizona State University（亚利桑那州立大学） 纠错

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

Reasoning with OmniThought: A Large CoT Dataset with Verbosity and Cognitive Difficulty Annotations

Wenrui Cai, Chengyu Wang, Junbing Yan, Jun Huang, Xiangzhong Fang

机构 * Shanghai Jiao Tong University（上海交通大学） ； Alibaba Cloud Computing（阿里云计算） 纠错

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

Robust Learning of Diverse Code Edits

Tushar Aggarwal, Swayam Singh, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan

机构 * Microsoft Research India（微软印度研究院） 纠错

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

Comments To appear in ICML 2025 as 'NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits'

An Invitation to Deep Reinforcement Learning

Bernhard Jaeger, Andreas Geiger

机构 * University of Tübingen, Tübingen AI Center（图宾根大学，图宾根人工智能中心） 纠错

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

Comments Published at Foundations and Trends in Optimization

Journal ref Foundations and Trends in Optimization, 2024, Vol. 7: No. 1, pp 1-80

SynQ: An Embedded DSL for Synchronous System Design with Quantitative Types

Rui Chen, Ingo Sander

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

Comments 45 pages, 15 figures

CHORUS: Zero-shot Hierarchical Retrieval and Orchestration for Generating Linear Programming Code

Tasnim Ahmed, Salimur Choudhury

机构 * School of Computing, Queen’s University, Ontario, Canada（计算学院，皇后大学，安大略省，加拿大） 纠错

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

Comments This paper has been accepted for presentation at the 19th Learning and Intelligent Optimization Conference (LION 19)

The Role of GitHub Copilot on Software Development: A Perspective on Productivity, Security, Best Practices and Future Directions

Suresh Babu Nettur, Shanthi Karpurapu, Unnati Nettur, Likhit Sagar Gajja, Sravanthy Myneni, Akhil Dusi

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

Comments Correspondence and co-first authors: nettursuresh@gmail.com, shanthi.karpurapu@gmail.com

Reviving Any-Subset Autoregressive Models with Principled Parallel Sampling and Speculative Decoding

Gabe Guo, Stefano Ermon

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

An Automated Reinforcement Learning Reward Design Framework with Large Language Model for Cooperative Platoon Coordination

Dixiao Wei, Peng Yi, Jinlong Lei, Yiguang Hong, Yuchuan Du

机构 * Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University（上海智能自主系统研究院，同济大学） ； Department of Control Science and Engineering, Tongji University（控制科学与工程系，同济大学） 纠错

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

EduBot -- Can LLMs Solve Personalized Learning and Programming Assignments?

Yibin Wang, Jiaxi Xie, Lakshminarayanan Subramanian

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

Comments Published at AAAI 2025 AI4EDU Workshop

Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Jared Fernandez, Clara Na, Vashisth Tiwari, Yonatan Bisk, Sasha Luccioni, Emma Strubell

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

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

Comments 16 pages

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs

Chen Xie, Mingsheng Jiao, Xiaodong Gu, Beijun Shen

机构 * School of Computer Science, Shanghai Jiao Tong University（计算机科学学院，上海交通大学） 纠错

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

Do Prompt Patterns Affect Code Quality? A First Empirical Assessment of ChatGPT-Generated Code

Antonio Della Porta, Stefano Lambiase, Fabio Palomba

机构 * University of Salerno（萨勒诺大学） 纠错

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

Preserving Diversity in Supervised Fine-Tuning of Large Language Models

Ziniu Li, Congliang Chen, Tian Xu, Zeyu Qin, Jiancong Xiao, Zhi-Quan Luo, Ruoyu Sun

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

Comments accepted by ICLR 2025

CodeUpdateArena: Benchmarking Knowledge Editing on API Updates

Zeyu Leo Liu, Shrey Pandit, Xi Ye, Eunsol Choi, Greg Durrett

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

Comments Under Review

Entropy-Reinforced Planning with Large Language Models for Drug Discovery

Xuefeng Liu, Chih-chan Tien, Peng Ding, Songhao Jiang, Rick L. Stevens

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

Comments Published in ICML2024

Enhancing LLM Character-Level Manipulation via Divide and Conquer

Zhen Xiong, Yujun Cai, Bryan Hooi, Nanyun Peng, Zhecheng Li, Yiwei Wang

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

HDLCoRe: A Training-Free Framework for Mitigating Hallucinations in LLM-Generated HDL

Heng Ping, Shixuan Li, Peiyu Zhang, Anzhe Cheng, Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Wei Yang, Shahin Nazarian, Andrei Irimia, Paul Bogdan

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