代码大模型 / AI 编程

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

Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models

Shuqi Liu, Han Wu, Bowei He, Xiongwei Han, Mingxuan Yuan, Linqi Song

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

Explore-Construct-Filter: An Automated Framework for Rich and Reliable API Knowledge Graph Construction

Yanbang Sun, Qing Huang, Xiaoxue Ren, Zhenchang Xing, Xiaohong Li, Junjie Wang

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

An Interpretable Automated Mechanism Design Framework with Large Language Models

Jiayuan Liu, Mingyu Guo, Vincent Conitzer

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

Model Cascading for Code: A Cascaded Black-Box Multi-Model Framework for Cost-Efficient Code Completion with Self-Testing

Boyuan Chen, Mingzhi Zhu, Brendan Dolan-Gavitt, Muhammad Shafique, Siddharth Garg

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

Copyright in Generative Deep Learning

Giorgio Franceschelli, Mirco Musolesi

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

Comments Published in Data & Policy at https://www.cambridge.org/core/journals/data-and-policy/article/copyright-in-generative-deep-learning/C401539FDF79A6AC6CEE8C5256508B5E

Journal ref Data & Policy. 2022;4:e17

Verifying LLM-Generated Code in the Context of Software Verification with Ada/SPARK

Marcos Cramer, Lucian McIntyre

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

Reranking Laws for Language Generation: A Communication-Theoretic Perspective

António Farinhas, Haau-Sing Li, André F. T. Martins

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

Comments NeurIPS 2024 (spotlight)

Beyond Autoregression: Fast LLMs via Self-Distillation Through Time

Justin Deschenaux, Caglar Gulcehre

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

Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning

Zhiming Li, Junzhe Jiang, Yushi Cao, Aixin Cui, Bozhi Wu, Bo Li, Yang Liu, Danny Dongning Sun

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

Comments accepted by AAAI 2025

Analysis of LLMs vs Human Experts in Requirements Engineering

Cory Hymel, Hiroe Johnson

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

Comments 8 pages, 15 figures

If You Can't Use Them, Recycle Them: Optimizing Merging at Scale Mitigates Performance Tradeoffs

Muhammad Khalifa, Yi-Chern Tan, Arash Ahmadian, Tom Hosking, Honglak Lee, Lu Wang, Ahmet Üstün, Tom Sherborne, Matthias Gallé

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

Comments 13 pages, 9 figures

PlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Feedback

Kanika Goswami, Puneet Mathur, Ryan Rossi, Franck Dernoncourt

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

From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation

Xingchen Wan, Han Zhou, Ruoxi Sun, Hootan Nakhost, Ke Jiang, Sercan Ö. Arık

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

Comments Expanded version of the ICLR 2025 paper

Enhancing Large Language Model Efficiencyvia Symbolic Compression: A Formal Approach Towards Interpretability

Lumen AI, Tengzhou No. 1 Middle School, Shihao Ji, Zihui Song, Fucheng Zhong, Jisen Jia, Zhaobo Wu, Zheyi Cao, Tianhao Xu

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

Compositional Hardness of Code in Large Language Models -- A Probabilistic Perspective

Yotam Wolf, Binyamin Rothberg, Dorin Shteyman, Amnon Shashua

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

Turbulence: Systematically and Automatically Testing Instruction-Tuned Large Language Models for Code

Shahin Honarvar, Mark van der Wilk, Alastair Donaldson

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

Comments Updated to the ICST2025 conference version

ARCEAK: An Automated Rule Checking Framework Enhanced with Architectural Knowledge

Junyong Chen, Ling-I Wu, Minyu Chen, Xiaoying Qian, Haoze Zhu, Qiongfang Zhang, Guoqiang Li

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

Comments 12 pages, 5 figures

Beyond the Sum: Unlocking AI Agents Potential Through Market Forces

Jordi Montes Sanabria, Pol Alvarez Vecino

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

Comments 20 pages, 5 figures