代码大模型 / AI 编程

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

BigO(Bench) -- Can LLMs Generate Code with Controlled Time and Space Complexity?

Pierre Chambon, Baptiste Roziere, Benoit Sagot, Gabriel Synnaeve

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

OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models

Siming Huang, Tianhao Cheng, J. K. Liu, Jiaran Hao, Liuyihan Song, Yang Xu, J. Yang, Jiaheng Liu, Chenchen Zhang, Linzheng Chai, Ruifeng Yuan, Zhaoxiang Zhang, Jie Fu, Qian Liu, Ge Zhang, Zili Wang, Yuan Qi, Yinghui Xu, Wei Chu

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

Speculative Decoding for Verilog: Speed and Quality, All in One

Changran Xu, Yi Liu, Yunhao Zhou, Shan Huang, Ningyi Xu, Qiang Xu

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

Comments Accepted by the 62nd Design Automation Conference (DAC 2025)

From Understanding to Excelling: Template-Free Algorithm Design through Structural-Functional Co-Evolution

Zhe Zhao, Haibin Wen, Pengkun Wang, Ye Wei, Zaixi Zhang, Xi Lin, Fei Liu, Bo An, Hui Xiong, Yang Wang, Qingfu Zhang

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

Capturing Semantic Flow of ML-based Systems

Shin Yoo, Robert Feldt, Somin Kim, Naryeong Kim

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

Factorio Learning Environment

Jack Hopkins, Mart Bakler, Akbir Khan

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

GenAI for Simulation Model in Model-Based Systems Engineering

Lin Zhang, Yuteng Zhang, Dusit Niyato, Lei Ren, Pengfei Gu, Zhen Chen, Yuanjun Laili, Wentong Cai, Agostino Bruzzone

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

Comments This work has been submitted to the IEEE for possible publication

EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty

Yuhui Li, Fangyun Wei, Chao Zhang, Hongyang Zhang

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

LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch

Caigao Jiang, Xiang Shu, Hong Qian, Xingyu Lu, Jun Zhou, Aimin Zhou, Yang Yu

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

DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model

Yi Liu, Changran Xu, Yunhao Zhou, Zeju Li, Qiang Xu

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

Comments ICLR 2025 Spotlight

LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness

Tong Ye, Weigang Huang, Xuhong Zhang, Tengfei Ma, Peiyu Liu, Jianwei Yin, Wenhai Wang

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

Comparative Analysis of Large Language Models for Context-Aware Code Completion using SAFIM Framework

Hang Zhang, Yanxin Shen, Lun Wang, Chuanqi Shi, Shaoshuai Du, Yiyi Tao, Yixian Shen

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

Comments 9 pages