代码大模型 / AI 编程

ASPERA: A Simulated Environment to Evaluate Planning for Complex Action Execution

Alexandru Coca, Mark Gaynor, Zhenxing Zhang, Jianpeng Cheng, Bo-Hsiang Tseng, Pete Boothroyd, Héctor Martinez Alonso, Diarmuid Ó Séaghdha, Anders Johannsen

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

Comments 37 pages, 22 figures. To appear at ACL 2025

Executable Functional Abstractions: Inferring Generative Programs for Advanced Math Problems

Zaid Khan, Elias Stengel-Eskin, Archiki Prasad, Jaemin Cho, Mohit Bansal

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

Comments Project Page: https://zaidkhan.me/EFAGen/

Scaling Up RL: Unlocking Diverse Reasoning in LLMs via Prolonged Training

Mingjie Liu, Shizhe Diao, Jian Hu, Ximing Lu, Xin Dong, Hao Zhang, Alexander Bukharin, Shaokun Zhang, Jiaqi Zeng, Makesh Narsimhan Sreedhar, Gerald Shen, David Mosallanezhad, Di Zhang, Jonas Yang, June Yang, Oleksii Kuchaiev, Guilin Liu, Zhiding Yu, Pavlo Molchanov, Yejin Choi, Jan Kautz, Yi Dong

机构 * NVIDIA 纠错

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

Comments 14 pages, 7 figures

hdl2v: A Code Translation Dataset for Enhanced LLM Verilog Generation

Charles Hong, Brendan Roberts, Huijae An, Alex Um, Advay Ratan, Yakun Sophia Shao

机构 * UC Berkeley（伯克利大学） 纠错

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

Comments Published at ACM/IEEE International Symposium on Machine Learning for CAD (MLCAD) 2025

Next Steps in LLM-Supported Java Verification

Samuel Teuber, Bernhard Beckert

机构 * Karlsruhe Institute of Technology（卡尔斯鲁厄理工学院） 纠错

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

Comments Accepted to NSE 2025, 1st International Workshop on Neuro-Symbolic Software Engineering (ICSE Workshop), 6 pages, 3 figures

Journal ref in IEEE/ACM International Workshop on Neuro-Symbolic Software Engineering, 2025, pp. 1-4

The Safety Reminder: A Soft Prompt to Reactivate Delayed Safety Awareness in Vision-Language Models

Peiyuan Tang, Haojie Xin, Xiaodong Zhang, Jun Sun, Qin Xia, Zijiang Yang

机构 * School of Computer Science and Technology, Xi’an Jiaotong University（西安交通大学计算机科学与技术学院） ； School of Computer Science and Technology, University of Science and Technology of China（中国科学技术大学计算机科学与技术学院） ； School of Computing and Information Systems, Singapore Management University（新加坡管理学院计算与信息系统学院） 纠错

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

Comments 23 pages, 10 figures

Compute Optimal Scaling of Skills: Knowledge vs Reasoning

Nicholas Roberts, Niladri Chatterji, Sharan Narang, Mike Lewis, Dieuwke Hupkes

机构 * University of Wisconsin（威斯康星大学） ； GenAI at Meta（Meta 生成式人工智能） 纠错

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

Black-Box Adversarial Attacks on LLM-Based Code Completion

Slobodan Jenko, Niels Mündler, Jingxuan He, Mark Vero, Martin Vechev

机构 * Department of Computer Science, ETH Zurich, Switzerland（计算机科学系，苏黎世联邦理工学院） 纠错

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

Dialogue Without Limits: Constant-Sized KV Caches for Extended Responses in LLMs

Ravi Ghadia, Avinash Kumar, Gaurav Jain, Prashant Nair, Poulami Das

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

Comments Published in the Proceedings of the 42nd International Conference on Machine Learning (ICML), Vancouver, Canada

AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML

Patara Trirat, Wonyong Jeong, Sung Ju Hwang

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

Comments ICML 2025, Project Page: https://deepauto-ai.github.io/automl-agent

AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence

Yuliang Liu, Junjie Lu, Zhaoling Chen, Chaofeng Qu, Jason Klein Liu, Chonghan Liu, Zefan Cai, Yunhui Xia, Li Zhao, Jiang Bian, Chuheng Zhang, Wei Shen, Zhouhan Lin

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

Comments ICML 2025

KnowCoder-X: Boosting Multilingual Information Extraction via Code

Yuxin Zuo, Wenxuan Jiang, Wenxuan Liu, Zixuan Li, Long Bai, Hanbin Wang, Yutao Zeng, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng

机构 * Key Laboratory of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences（网络数据科学与技术重点实验室，计算技术研究所，中国科学院） ； State Key Laboratory of AI Safety（人工智能安全国家重点实验室） ； School of Computer Science, University of Chinese Academy of Sciences（中国科学院大学计算机科学学院） ； School of Software, Northeastern University（东北大学软件学院） ； School of Software, Peking University（北京大学软件学院） 纠错

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

Comments ACL 2025 Findings

DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs

Jongwoo Ko, Tianyi Chen, Sungnyun Kim, Tianyu Ding, Luming Liang, Ilya Zharkov, Se-Young Yun

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

Comments ICML2025 Spotlight

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Haoyang Fang, Boran Han, Nick Erickson, Xiyuan Zhang, Su Zhou, Anirudh Dagar, Jiani Zhang, Ali Caner Turkmen, Cuixiong Hu, Huzefa Rangwala, Ying Nian Wu, Bernie Wang, George Karypis

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

VeriReason: Reinforcement Learning with Testbench Feedback for Reasoning-Enhanced Verilog Generation

Yiting Wang, Guoheng Sun, Wanghao Ye, Gang Qu, Ang Li

机构 * Department of Electrical Engineering, University of Maryland（电气工程系，马里兰大学） 纠错

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

Comments 11 pages, 2 figures

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks

Ilyas Oulkadda, Julien Perez

机构 * Laboratoire de Recherche de l'EPITA (LRE)（EPITA研究实验室） ； Department of XXX, University of YYY（YYY大学XXX系） ； School of ZZZ, Institute of WWW（WWW研究所ZZZ学院） 纠错

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

Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo

João Loula, Benjamin LeBrun, Li Du, Ben Lipkin, Clemente Pasti, Gabriel Grand, Tianyu Liu, Yahya Emara, Marjorie Freedman, Jason Eisner, Ryan Cotterell, Vikash Mansinghka, Alexander K. Lew, Tim Vieira, Timothy J. O'Donnell

机构 * MIT（麻省理工学院） ； ETH Zürich（苏黎世联邦理工学院） ； McGill（麦吉尔大学） ； Canada CIFAR AI Chair（加拿大 CIFAR 人工智能主席） ； Mila（蒙特利尔人工智能研究院） ； Johns Hopkins（约翰霍普金斯大学） ； Yale（耶鲁大学） ； ISI（信息科学研究所） 纠错

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

Comments 34 pages, 4 figures

Generating Pragmatic Examples to Train Neural Program Synthesizers

Saujas Vaduguru, Daniel Fried, Yewen Pu

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

Comments ICLR 2024

ChaosEater: Fully Automating Chaos Engineering with Large Language Models

Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri

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

Comments 114 pages (7 main), 11 figures. Project page: https://ntt-dkiku.github.io/chaos-eater

A Dual-Space Framework for General Knowledge Distillation of Large Language Models

Xue Zhang, Songming Zhang, Yunlong Liang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou

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

Comments 19 pages, 9 figures, 11 tables, under review. Code is available at: https://github.com/songmzhang/DSKDv2. arXiv admin note: text overlap with arXiv:2406.17328

ZIP-FIT: Embedding-Free Data Selection via Compression-Based Alignment

Elyas Obbad, Iddah Mlauzi, Brando Miranda, Rylan Schaeffer, Kamal Obbad, Suhana Bedi, Sanmi Koyejo

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

From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Haolin Jin, Linghan Huang, Haipeng Cai, Jun Yan, Bo Li, Huaming Chen

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

Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity?

Guanghan Wu, Sasu Tarkoma, Roberto Morabito

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

Comments This paper has been accepted for publication in the IEEE Internet of Things Magazine (Special Issue on Applications of Large Language Models in IoT). The copyright will be transferred to IEEE upon publication. A preliminary version of this work was presented at the Edge AI Foundation event Beyond LLMs and Chatbots: The Journey to Generative AI at the Edge (https://youtu.be/aFWfisdjQIs)

ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding

Indraneil Paul, Haoyi Yang, Goran Glavaš, Kristian Kersting, Iryna Gurevych

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

Are Large Language Models Memorizing Bug Benchmarks?

Daniel Ramos, Claudia Mamede, Kush Jain, Paulo Canelas, Catarina Gamboa, Claire Le Goues

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

Challenges and Paths Towards AI for Software Engineering

Alex Gu, Naman Jain, Wen-Ding Li, Manish Shetty, Yijia Shao, Ziyang Li, Diyi Yang, Kevin Ellis, Koushik Sen, Armando Solar-Lezama

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

Comments 75 pages

h4rm3l: A language for Composable Jailbreak Attack Synthesis

Moussa Koulako Bala Doumbouya, Ananjan Nandi, Gabriel Poesia, Davide Ghilardi, Anna Goldie, Federico Bianchi, Dan Jurafsky, Christopher D. Manning

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

Comments Accepted to the Thirteenth International Conference on Learning Representations (ICLR 2025)

Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM

Codefuse, Ling Team, :, Wenting Cai, Yuchen Cao, Chaoyu Chen, Chen Chen, Siba Chen, Qing Cui, Peng Di, Junpeng Fang, Zi Gong, Ting Guo, Zhengyu He, Yang Huang, Cong Li, Jianguo Li, Zheng Li, Shijie Lian, BingChang Liu, Songshan Luo, Shuo Mao, Min Shen, Jian Wu, Jiaolong Yang, Wenjie Yang, Tong Ye, Hang Yu, Wei Zhang, Zhenduo Zhang, Hailin Zhao, Xunjin Zheng, Jun Zhou

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

Comments 20 pages, 6 figures

LoRA-Pro: Are Low-Rank Adapters Properly Optimized?

Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan

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

Comments Camera-Ready Version for ICLR 2025; technical corrections to previous version

LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Parshin Shojaee, Kazem Meidani, Shashank Gupta, Amir Barati Farimani, Chandan K Reddy

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

Comments ICLR 2025 Oral