Code Generation

Ask about this topic

Overview

Code generation asks how models can turn requests, examples, images, or formal specifications into programs that work in real settings, from short functions to whole repositories and domain-specific software. Common approaches include prompting and fine-tuning, retrieval of relevant code or documentation, constrained decoding, and agents that iteratively run, test, and repair their outputs. Multimodal systems also use rendered interfaces, charts, and diagrams as input or feedback, while reinforcement learning can use execution tests, compilers, or formal verifiers as training signals. Benchmarks such as HumanEval, MBPP, LiveCodeBench, and repository-level tasks show progress, but passing tests or compiling does not guarantee that code meets its intended behavior, visual requirements, security needs, or deployment constraints.

Latest papers

CardsList

316 papers44 papers in the last four weeks, up 76% on the four weeks before. 0.3% of all new papers.

  1. InCoder-32B: Code Foundation Model for Industrial Scenarios

    Mar 17, 2026Jian Yang, Wei Zhang, Jiajun Wu +25Compiler OptimizationCode Language Models

    Beihang University · IQuest Research · Shanghai Jiao Tong University +6

  2. Exploring different approaches to customize language models for domain-specific text-to-code generation

    Mar 17, 2026Luís Freire, Fernanda A. Andaló, Nicki Skafte DetlefsenCode GenerationLLM Code Generation

    Technical University of Denmark · The LEGO Group

  3. An Agentic Evaluation Framework for AI-Generated Scientific Code in PETSc

    Mar 16, 2026Hong Zhang, Barry Smith, Satish Balay +4High-Performance ComputingCode Generation

    Argonne National Laboratory, Lemont, IL, USA

  4. SAGE: Multi-Agent Self-Evolution for LLM Reasoning

    Mar 16, 2026Yulin Peng, Xinxin Zhu, Chenxing Wei +4LLM ReasoningSelf-Training for Language Models

    College of Computer Science and Software Engineering, Shenzhen University, China · Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), China · School of Information Technology, Carleton University, Canada

  5. CangjieBench: Benchmarking LLMs on a Low-Resource General-Purpose Programming Language

    Mar 15, 2026Junhang Cheng, Fang Liu, Jia Li +3Code GenerationLLM Code Generation

    Beihang University, Beijing, China · Wuhan University, Wuhan, China

  6. Coding with Eyes: Visual Feedback Unlocks Reliable GUI Code Generating and Debugging

    Mar 14, 2026Zhilin Liu, Ye Huang, Ting Xie +3Code GenerationCode Generation Benchmarks

    Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China

  7. Visual-ERM: Reward Modeling for Visual Equivalence

    Mar 13, 2026Ziyu Liu, Shengyuan Ding, Xinyu Fang +7Reward ModelingRL for VLMs

    Shanghai Jiao Tong University · Shanghai AI Laboratory · Fudan University +1

  8. QAQ: Bidirectional Semantic Coherence for Selecting High-Quality Synthetic Code Instructions

    Mar 12, 2026Jiayin Lei, Ming Ma, Yunxi Duan +2Instruction-Tuning Data SelectionCode Generation

    Beijing University of Technology, Beijing, 100124, China · Institute of Neuroscience, State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China · University of Chinese Academy of Sciences, Beijing, 100049, China +1

  9. CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving Challenges

    Mar 12, 2026Zi-Han Wang, Lam Nguyen, Zhengyang Zhao +4Computational CreativityCreativity Assessment

    Southern University of Science and Technology · Tsinghua University · Xi’an Jiaotong University +3

  10. DOne: Decoupling Structure and Rendering for High-Fidelity Design-to-Code Generation

    Mar 12, 2026Xinhao Huang, Jinke Yu, Wenhao Xu +5Code GenerationVision-Language Models

    HKUST (Guangzhou), Guangzhou, China · Alibaba Group, Hangzhou, China · HKUST, Hong Kong, China +2

  11. CodePercept: Code-Grounded Visual STEM Perception for MLLMs

    Mar 11, 2026Tongkun Guan, Zhibo Yang, Jianqiang Wan +10Image-to-Code GenerationVisually Grounded Reasoning

    MoE Key Lab of Artificial Intelligence, AI Institute, School of Computer Science, Shanghai Jiao Tong University · Qwen Team · Beijing Institute of Technology +2

  12. EsoLang-Bench: Evaluating Genuine Reasoning in Large Language Models via Esoteric Programming Languages

    Mar 10, 2026Aman Sharma, Paras ChopraLLM EvaluationLLM Code Generation

    Lossfunk

  13. Text to Automata Diagrams: Comparing TikZ Code Generation with Direct Image Synthesis

    Mar 9, 2026Ethan Young, Zichun Wang, Aiden Taylor +6Code GenerationVLM Evaluation

    Marshall University · West Virginia State University

  14. A Novel Multi-Agent Architecture to Reduce Hallucinations of Large Language Models in Multi-Step Structural Modeling

    Mar 8, 2026Ziheng Geng, Jiachen Liu, Ran Cao +3Structural EngineeringMulti-Agent LLM Systems

    Department of Civil and Architectural Engineering, University of Miami, Coral Gables, FL 33146, USA · HBC Engineering Company, Miami, FL 33178, USA · College of Civil Engineering, Hunan University, Changsha, 410082, China +3

  15. KCoEvo: A Knowledge Graph Augmented Framework for Evolutionary Code Generation

    Mar 8, 2026Jiazhen Kang, Yuchen Lu, Chen Jiang +6Code GenerationGraph Retrieval-Augmented Generation

    Southeast University, Nanjing, China · ByteDance Ltd., China · Monash University, Melbourne, Australia

  16. SEA-TS: Self-Evolving Agent for Autonomous Code Generation of Time Series Forecasting Algorithms

    Mar 5, 2026Longkun Xu, Xiaochun Zhang, Qiantu Tuo +1Time Series ForecastingCode Generation

    Ecoflow Inc.

  17. Python Bindings for a Large C++ Robotics Library: The Case of OMPL

    Mar 4, 2026Weihang Guo, Theodoros Tyrovouzis, Lydia E. KavrakiCode GenerationLLM Code Generation

    Department of Computer Science, Rice University, Houston TX, USA · Ken Kennedy Institute at Rice University

  18. CONCUR: Benchmarking LLMs for Concurrent Code Generation

    Mar 4, 2026Jue Huang, Tarek Mahmud, Corina Pasareanu +1Code Generation EvaluationCode Generation Benchmarks

    The University of Queensland · Texas A&M University - Kingsville · Carnegie Mellon University

  19. Act-Observe-Rewrite: Multimodal Coding Agents as In-Context Policy Learners for Robot Manipulation

    Mar 3, 2026Vaishak KumarCode Generation for RoboticsRobot Policy Learning

    General Bionix, Inc.

  20. BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing?

    Mar 3, 2026Guoxin Chen, Fanzhe Meng, Jiale Zhao +12Retrieval-Augmented Code GenerationSoftware Engineering Benchmarks

  21. An Initial Exploration of Contrastive Prompt Tuning to Generate Energy-Efficient Code

    Mar 3, 2026Sophie Weidmann, Fernando CastorCode GenerationLLM Code Generation

    University of Twente, Enschede, The Netherlands

  22. ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution

    Mar 3, 2026Liu Yang, Zeyu Nie, Andrew Liu +4High-Performance ComputingCode Generation

    Department of Computer Science, Yale University, New Haven, CT, USA · Google DeepMind, Mountain View, CA, USA

  23. Test-Driven Agentic Framework for Reliable Robot Controller

    Feb 28, 2026Shivanshu Tripathi, Reza Akbarian Bafghi, Maziar RaissiRobotic ControlCode Generation

    Department of Electrical and Computer Engineering, University of California, Riverside · Department of Computer Science, University of Colorado, Boulder · Department of Mathematics, University of California, Riverside

  24. Steerable Instruction Following Coding Data Synthesis with Actor-Parametric Schema Co-Evolution

    Feb 27, 2026Tinglin Huang, Bo Chen, Xiao Zhang +2Synthetic Data Generation for Language ModelsCode Generation

    Yale University · ByteDance Seed

  25. ManiBench: A Benchmark for Testing Visual-Logic Drift and Syntactic Hallucinations in Manim Code Generation

    Feb 24, 2026Nabin OliCitation HallucinationCode Generation

    Sunway College Kathmandu, Birmingham City University

  26. From Prompts to Performance: Evaluating LLMs for Task-based Parallel Code Generation

    Feb 24, 2026Linus Bantel, Moritz Strack, Alexander Strack +1Code GenerationLLM Code Generation

    Institute for Parallel and Distributed Systems, University of Stuttgart, Stuttgart, Germany

  27. CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems

    Feb 23, 2026Wanyong Feng, Alexander Scarlatos, Ruochen Sun +1Computerized Adaptive TestingEducational Assessment

    University of Massachusetts Amherst · Independent Researcher

  28. VectorGym: A Multi-Task Benchmark for SVG Code Generation, Sketching and Editing

    Feb 22, 2026Joan Rodriguez, Haotian Zhang, Abhay Puri +14VLM EvaluationCode Generation

    Mila, Quebec AI Institute · ÉTS Montréal · QuiverAI +11

  29. GraphSkill: Documentation-Guided Hierarchical Retrieval-Augmented Coding for Complex Graph Reasoning

    Feb 20, 2026Fali Wang, Chenglin Weng, Xianren Zhang +3LLM Reasoning with GraphsGraph Reasoning

    The Pennsylvania State University, University Park, Pennsylvania, USA · Michigan State University, East Lansing, Michigan, USA

  30. 1D-Bench: A Benchmark for Iterative UI Code Generation with Visual Feedback in Real-World

    Feb 20, 2026Qiao Xu, Yipeng Yu, Chengxiao Feng +1Benchmark DesignExecution-Guided Code Generation

    Taobao & Tmall Group of Alibaba