Code Generation

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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

313 papers42 papers in the last four weeks, up 68% on the four weeks before. 0.2% of all new papers.

  1. To Diff or Not to Diff? Structure-Aware and Adaptive Output Formats for Efficient LLM-based Code Editing

    Apr 30, 2026Wei Cheng, Yongchang Cao, Chen Shen +4Code GenerationLLM Inference Acceleration

    State Key Laboratory for Novel Software Technology, Nanjing University, China · Tongyi Lab, Alibaba Group, China

  2. ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation

    Apr 29, 2026Yeheng Chen, Chaoxiang Xie, Yuling Shi +4Code GenerationSynthetic Benchmark Generation

    Shanghai Jiao Tong University China

  3. QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits

    Apr 28, 2026Zhenxiao Fu, Lei Jiang, Fan ChenLLM EvaluationCode Generation

    Indiana University Bloomington

  4. Context-Augmented Code Generation: How Product Context Improves AI Coding Agent Decision Compliance by 49%

    Apr 27, 2026Drew Dillon, Kasyap VaranasiRetrieval-Augmented GenerationAI Coding Agents

    Brief

  5. Large Language Models for Multilingual Code Intelligence: A Survey

    Apr 27, 2026Chao Jiang, Dugang Liu, Cheng Wen +6Code TranslationCode Generation

    College of Computer Science and Software Engineering, Shenzhen University, China · Guangzhou Institute of Technology, Xidian University, China · Guangzhou University of Software, China +2

  6. Leveraging LLMs for Multi-File DSL Code Generation: An Industrial Case Study

    Apr 27, 2026Sivajeet Chand, Kevin Nguyen, Peter Kuntz +1LLM Fine-TuningCode Generation

    Technical University of Munich · Munich, Germany · BMW Group

  7. Aligned Multi-View Scripts for Universal Chart-to-Code Generation

    Apr 27, 2026Zhihan Zhang, Lizi LiaoCode GenerationParameter-Efficient Fine-Tuning

    School of Computing and Information Systems, Singapore Management University

  8. How LLMs Fail and Generalize in RTL Coding for Hardware Design?

    Apr 26, 2026Guan-Ting Liu, Chao-Han Huck Yang, Chenhui Deng +3LLM EvaluationCode Generation

    NVIDIA Research

  9. LEGO: An LLM Skill-Based Front-End Design Generation Platform

    Apr 25, 2026Jincheng Lou, Ruohan Xu, Jiecheng Ma +3Electronic Design AutomationCode Generation

    School of IC, Peking University · School of EECS, Peking University · School of Microelectronics, Xidian University +2

  10. No Test Cases, No Problem: Distillation-Driven Code Generation for Scientific Workflows

    Apr 25, 2026Siddeshwar Raghavan, Tanwi MallickMulti-Agent LLM SystemsCode Generation

    Purdue University · Electrical and Computer Engineering · West Lafayette, USA +3

  11. From Natural Language to Verified Code: Toward AI Assisted Problem-to-Code Generation with Dafny-Based Formal Verification

    Apr 24, 2026Md Erfan, Md Kamal Hossain Chowdhury, Ahmed Ryan +1LLM PromptingCode Generation

    Department of Computer Science, The University of Alabama, Tuscaloosa, USA · Alabama Water Institute, The University of Alabama, Tuscaloosa, USA

  12. CharTide: Data-Centric Chart-to-Code Generation via Tri-Perspective Tuning and Inquiry-Driven Evolution

    Apr 24, 2026Xiangxi Zheng, Kuang He, Jiayi Hu +6RL for Code GenerationVLM Adaptation

    Nanjing University · LLM Team, Shopee Pte. Ltd. · East China Normal University +2

  13. You Don't Need Public Tests to Generate Correct Code

    Apr 23, 2026Kaushitha Silva, Srinath PereraExecution-Guided Code GenerationCode Generation

    WSO2 Santa Clara, CA, USA

  14. Parallel-SFT: Improving Zero-Shot Cross-Programming-Language Transfer for Code RL

    Apr 22, 2026Zhaofeng Wu, Shiqi Wang, Boya Peng +5Supervised Fine-TuningRL for Code Generation

    Meta Superintelligence Labs · MIT

  15. ChipCraftBrain: Validation-First RTL Generation via Multi-Agent Orchestration

    Apr 21, 2026Cagri EryilmazElectronic Design AutomationCode Generation

    ChipCraftX San Francisco, CA

  16. On Accelerating Grounded Code Development for Research

    Apr 21, 2026Santosh GanjiCoding AgentsCode Generation

  17. Co-Located Tests, Better AI Code: How Test Syntax Structure Affects Foundation Model Code Generation

    Apr 20, 2026Éric JacopinCode GenerationCode Generation Evaluation

    Cosmic AI

  18. LeGo-Code: Can Modular Curriculum Learning Advance Complex Code Generation? Insights from Text-to-SQL

    Apr 20, 2026Salmane Chafik, Saad Ezzini, Ismail BerradaLLM Fine-TuningCode Generation

    Mohammed VI Polytechnic University Morocco · King Fahd University of Petroleum and Minerals Saudi Arabia

  19. HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and Execution

    Apr 20, 2026Hanhua Hong, Yizhi LI, Jiaoyan Chen +4Multi-Agent LLM SystemsCode Generation

    The University of Manchester · Institute for Infocomm Research (I²R), A*STAR · ELLIS Manchester +1

  20. Configuration Over Selection: Hyperparameter Sensitivity Exceeds Model Differences in Open-Source LLMs for RTL Generation

    Apr 18, 2026Minghao Shao, Zeng Wang, Weimin Fu +5LLM EvaluationLanguage Model Generation Evaluation

    NYU Tandon School of Engineering, USA · Kansas State University, USA · NYU Abu Dhabi, UAE

  21. HYPERHEURIST: A Simulated Annealing-Based Control Framework for LLM-Driven Code Generation in Optimized Hardware Design

    Apr 17, 2026Shiva Ahir, Prajna Bhat, Alex DoboliLarge Language Model-Guided OptimizationCode Generation

    Department of ECE

  22. Majority Voting for Code Generation

    Apr 17, 2026Tim Launer, Jonas Hübotter, Marco Bagatella +2Execution-Guided Code GenerationCode Generation

    ETH Zürich, Switzerland

  23. COEVO: Co-Evolutionary Framework for Joint Functional Correctness and PPA Optimization in LLM-Based RTL Generation

    Apr 16, 2026Heng Ping, Peiyu Zhang, Shixuan Li +5Multi-Objective Evolutionary OptimizationCode Generation

    University of Southern California United States

  24. Exploring LLM-based Verilog Code Generation with Data-Efficient Fine-Tuning and Testbench Automation

    Apr 16, 2026Mu-Chi Chen, Po-Hsuan Huang, Yu-Hung Kao +6LLM Fine-TuningCode Generation

    Academia Sinica, Taipei, Taiwan · National Taiwan University, Taipei, Taiwan · National Cheng Kung University, Tainan, Taiwan

  25. CollabCoder: Plan-Code Co-Evolution via Collaborative Decision-Making for Efficient Code Generation

    Apr 15, 2026Duy Tung Doan, Quang Huy Phung, Dzung Nguyen +1Code GenerationAgentic Code Generation

    Viettel AI, Viettel Group, Vietnam · Hanoi University of Science and Technology, Vietnam

  26. CoDe-R: Refining Decompiler Output with LLMs via Rationale Guidance and Adaptive Inference

    Apr 14, 2026Qiang Zhang, Zhongnian LiAdaptive InferenceSoftware Reverse Engineering

    School of Computer Science and Technology / School of Artificial Intelligence, China University of Mining and Technology, Xuzhou, China · Mine Digitization Engineering Research Center of the Ministry of Education, China University of Mining and Technology, Xuzhou, China

  27. Ro-SLM: Onboard Small Language Models for Robot Task Planning and Operation Code Generation

    Apr 13, 2026Wenhao Wang, Yanyan Li, Long Jiao +1Code Generation for RoboticsSmall Language Models

    Department of Computer & Information Science, University of Massachusetts Dartmouth · Department of Computer Science & Engineering, California State University San Marcos

  28. SLM Finetuning for Natural Language to Domain Specific Code Generation in Production

    Apr 10, 2026Renjini R. Nair, Damian K. Kowalczyk, Marco Gaudesi +1Code GenerationFine-Tuning

    Microsoft

  29. Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models

    Apr 10, 2026Ziheng Geng, Jiachen Liu, Ian Franklin +3Code GenerationStructural Engineering

    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 +2

  30. UIPress: Bringing Optical Token Compression to UI-to-Code Generation

    Apr 10, 2026Dasen Dai, Shuoqi Li, Ronghao Chen +3Token CompressionVisual Token Compression

    The Chinese University of Hong Kong China · Peking University China · University of Chinese Academy of Sciences China +2