A Survey on Large Language Models for Code Generation

1 June 2024

Fan Wang

Papers citing "A Survey on Large Language Models for Code Generation"

50 / 127 papers shown

Title
Uncovering Intention through LLM-Driven Code Snippet Description Generation Yusuf Sulistyo Nugroho Farah Danisha Salam Brittany Reid R. Kula Kazumasa Shimari Kenichi Matsumoto 15 0 0 18 Jun 2025
Automatic Qiskit Code Refactoring Using Large Language Models José Manuel Suárez Luís Mariano Bibbó Joaquín Bogado Alejandro Fernandez 15 0 0 17 Jun 2025
Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis Yuan Gao Mattia Piccinini Yuchen Zhang Dingrui Wang Korbinian Moller ... Steven Peters Andrea Stocco Bassam Alrifaee Marco Pavone Johannes Betz 19 0 0 13 Jun 2025
On the Ethics of Using LLMs for Offensive Security A. Happe Jürgen Cito 18 0 0 10 Jun 2025
Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation Jaechul Roh Varun Gandhi Shivani Anilkumar Arin Garg AAML ReLM LRM 28 0 0 08 Jun 2025
Can LLMs Generate Reliable Test Case Generators? A Study on Competition-Level Programming Problems Yuhan Cao Z. Chen Kun Quan Ziliang Zhang Yu Wang ... Shouchen Zhou Yuxiang Zhu Yiming Huang Tian Xie Tianxing He ELM LRM 32 0 0 07 Jun 2025
CP-Bench: Evaluating Large Language Models for Constraint Modelling Kostis Michailidis Dimos Tsouros Tias Guns 60 0 0 06 Jun 2025
PuzzleWorld: A Benchmark for Multimodal, Open-Ended Reasoning in Puzzlehunts Hengzhi Li Brendon Jiang Alexander Naehu Regan Song Justin Zhang ... Steven-Shine Chen Adithya Balachandran Wei Dai Rebecca Chang Paul Pu Liang ReLM LRM 59 0 0 06 Jun 2025
Rethinking the effects of data contamination in Code Intelligence Zhen Yang Hongyi Lin Yifan He Jie Xu Zeyu Sun Shuo Liu P. Wang Zhongxing Yu Qingyuan Liang 38 0 0 03 Jun 2025
Evaluation of LLMs for mathematical problem solving Ruonan Wang Runxi Wang Yunwen Shen Chengfeng Wu Qinglin Zhou Rohitash Chandra ELM LRM 30 0 0 30 May 2025
Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization Mingzhe Du Luu Tuan Tuan Yue Liu Yuhao Qing Dong Huang Xinyi He Qian Liu Zejun Ma See-Kiong Ng 64 0 0 29 May 2025
Generalizable Heuristic Generation Through Large Language Models with Meta-Optimization Yiding Shi Jianan Zhou Wen Song Jieyi Bi Yaoxin Wu Jie Zhang 68 0 0 27 May 2025
Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Yixin Cui Haotian Lin Shuo Yang Yixiao Wang Yanjun Huang Hong Chen LM&Ro LRM ELM 108 0 0 26 May 2025
Toward Scientific Reasoning in LLMs: Training from Expert Discussions via Reinforcement Learning Ming Yin Yuanhao Qu Dyllan Liu Ling Yang Le Cong 25 0 0 26 May 2025
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI Ranjan Sapkota Konstantinos I. Roumeliotis Manoj Karkee 112 1 0 26 May 2025
Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers Zhengliang Shi Lingyong Yan Dawei Yin Suzan Verberne Maarten de Rijke Zhaochun Ren LRM 113 1 0 26 May 2025
FunReason: Enhancing Large Language Models' Function Calling via Self-Refinement Multiscale Loss and Automated Data Refinement Bingguang Hao Maolin Wang Zengzhuang Xu Cunyin Peng Yicheng Chen Xiangyu Zhao Jinjie Gu Chenyi Zhuang ReLM LRM 104 0 0 26 May 2025
RECAST: Strengthening LLMs' Complex Instruction Following with Constraint-Verifiable Data Wenhao Liu Zhengkang Guo Mingchen Xie Jingwen Xu Zisu Huang ... Changze Lv He-Da Wang Hu Yao Xiaoqing Zheng Xuanjing Huang 174 0 0 25 May 2025
LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning Junyu Chen Junzhuo Li Zhen Peng Wenjie Wang Yuxiang Ren Long Shi Xuming Hu MQ 33 0 0 24 May 2025
Navigating Pitfalls: Evaluating LLMs in Machine Learning Programming Education Smitha Kumar M. Lones Manuel Maarek Hind Zantout 30 0 0 23 May 2025
Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery Yanbo Zhang S. Khan Adnan Mahmud Huck Yang Alexander Lavin ... James A. Evans Alan R. Bundy Jannis Brugger Jesper Tegner Hector Zenil LM&MA 88 1 0 22 May 2025
HybridProver: Augmenting Theorem Proving with LLM-Driven Proof Synthesis and Refinement Jilin Hu Jianyu Zhang Yongwang Zhao Talia Ringer 34 1 0 21 May 2025
From Reasoning to Code: GRPO Optimization for Underrepresented Languages Federico Pennino Bianca Raimondi Massimo Rondelli Andrea Gurioli Maurizio Gabbrielli LRM 12 0 0 20 May 2025
Knowledge Graph Based Repository-Level Code Generation Mihir Athale Vishal Vaddina 21 0 0 20 May 2025
NeuroGen: Neural Network Parameter Generation via Large Language Models Jiaqi Wang Yusen Zhang Xi Li 102 0 0 18 May 2025
Truth Neurons Haohang Li Yupeng Cao Yangyang Yu Jordan W. Suchow Zining Zhu HILM MILM KELM 68 0 0 18 May 2025
Group-in-Group Policy Optimization for LLM Agent Training Lang Feng Zhenghai Xue Tingcong Liu Bo An OffRL 224 0 0 16 May 2025
Guiding LLM-based Smart Contract Generation with Finite State Machine Hao Luo Yuhao Lin Xiao Yan Xintong Hu Yanjie Wang Qiming Zeng Hao Wang Jiawei Jiang 56 0 0 13 May 2025
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Wenhao Li Bo Jin Mingyi Hong Changhong Lu Xiangfeng Wang 156 0 0 07 May 2025
YABLoCo: Yet Another Benchmark for Long Context Code Generation Aidar Valeev Roman Garaev Vadim Lomshakov Irina Piontkovskaya Vladimir Ivanov Israel Adewuyi 64 0 0 07 May 2025
ShorterBetter: Guiding Reasoning Models to Find Optimal Inference Length for Efficient Reasoning Jingyang Yi Jiazheng Wang Sida Li ReLM OODD LRM 430 8 0 30 Apr 2025
Assessing LLM code generation quality through path planning tasks Wanyi Chen Meng-Wen Su Mary L. Cummings ELM 83 0 0 30 Apr 2025
CodeFlowBench: A Multi-turn, Iterative Benchmark for Complex Code Generation Sizhe Wang Ziyi Wang Dongsheng Ma Yongan Yu Rui Ling Zehan Li Feiyu Xiong Weinan Zhang LRM 156 0 0 30 Apr 2025
Tempo: Application-aware LLM Serving with Mixed SLO Requirements Wei Zhang Zhiyu Wu Yi Mu Banruo Liu Myungjin Lee Fan Lai 102 1 0 24 Apr 2025
On Developers' Self-Declaration of AI-Generated Code: An Analysis of Practices Syed Mohammad Kashif Peng Liang Amjed Tahir 59 0 0 23 Apr 2025
A Large-scale Class-level Benchmark Dataset for Code Generation with LLMs Musfiqur Rahman SayedHassan Khatoonabadi Emad Shihab ALM 77 0 0 22 Apr 2025
Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Hao Mark Chen Zehuan Zhang Wanru Zhao Nicholas D. Lane Hongxiang Fan 23 0 0 21 Apr 2025
CodeVisionary: An Agent-based Framework for Evaluating Large Language Models in Code Generation Xinchen Wang Pengfei Gao Chao Peng Ruida Hu Cuiyun Gao ELM 67 1 0 18 Apr 2025
Trajectory Adaptation using Large Language Models Anurag Maurya Tashmoy Ghosh Ravi Prakash 64 0 0 17 Apr 2025
Themisto: Jupyter-Based Runtime Benchmark Konstantin Grotov Sergey Titov LRM 46 0 0 16 Apr 2025
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models? Christophe El Zeinaty W. Hamidouche Glenn Herrou D. Ménard Merouane Debbah 78 0 0 13 Apr 2025
A Short Survey on Small Reasoning Models: Training, Inference, Applications and Research Directions Chengyu Wang Taolin Zhang Richang Hong Jun Huang ReLM LRM 105 2 0 12 Apr 2025
SpecEE: Accelerating Large Language Model Inference with Speculative Early Exiting Jiaming Xu Jiayi Pan Yongkang Zhou Siming Chen Jiajian Li Yaoxiu Lian Junyi Wu Guohao Dai LRM 62 0 0 11 Apr 2025
A Strategic Coordination Framework of Small LLMs Matches Large LLMs in Data Synthesis Xin Gao Qizhi Pei Zinan Tang Yongqian Li Honglin Lin Jiang Wu Conghui He Lijun Wu SyDa 104 0 0 11 Apr 2025
Out of Style: RAG's Fragility to Linguistic Variation Tianyu Cao Neel Bhandari Akhila Yerukola Akari Asai Maarten Sap 76 2 0 11 Apr 2025
Supervised Optimism Correction: Be Confident When LLMs Are Sure Jing Zhang Rushuai Yang Shunyu Liu Ting-En Lin Fei Huang Yi Chen Yongqian Li Dacheng Tao OffRL 89 0 0 10 Apr 2025
DDPT: Diffusion-Driven Prompt Tuning for Large Language Model Code Generation Jinyang Li Sangwon Hyun Muhammad Ali Babar 74 0 0 06 Apr 2025
Semantic Direct Modeling Qiang Zou Shuo Liu 3DV 74 0 0 05 Apr 2025
Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data? Grgur Kovač Jérémy Perez Rémy Portelas Peter Ford Dominey Pierre-Yves Oudeyer 95 0 0 04 Apr 2025
How Social is It? A Benchmark for LLMs' Capabilities in Multi-user Multi-turn Social Agent Tasks Yusen Wu Junwu Xiong Xiaotie Deng LLMAG 86 0 0 04 Apr 2025