代码生成论文趋势 2023–2026
程序合成与代码 LLM
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 2,161 篇被归入该主题的论文。
主要结论
- 代码生成论文从 2023 年的 210 篇增长到 2026 年的 860 篇,三年间扩大到约 4.1 倍。
- NeurIPS 是发代码生成论文最多的会议,2023–2026 年共 630 篇,占四个会议总量的 29%。
- 交叉方向里涨得最快的是AI 智能体:同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 93 篇。
- 在「自然语言」的 5 个主题里,它的 2026 年论文数排第 1;同组增长最快的检索增强生成是 5.4 倍,代码生成是 4.1 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 29 | 55 | 31 | 95 | 210 |
| 2024 | 135 | 66 | 111 | 134 | 446 |
| 2025 | 230 | 164 | 79 | 172 | 645 |
| 2026 | 236 | 241 | 174 | 209 | 860 |
代表论文
按年份和会议均匀挑选,方便快速看到每一届的样貌
- NeurIPS 2026A Theoretical Analysis of Test-Driven Code Generation
- ICML 2026$A_2$DEPT: Large Language Model–Driven Automated Algorithm Design via Evolutionary Program Trees
- ICLR 2026A Bayesian Nonparametric Framework for Private, Fair, and Balanced Tabular Data Synthesis
- CVPR 2026ACPV-Net All-Class Polygonal Vectorization for Seamless Vector Map Generation from
- NeurIPS 2025$\texttt{STRCMP}$: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization
- ICML 2025AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement
- ICLR 2025Automated Proof Generation for Rust Code via Self-Evolution
- CVPR 2025ArtFormer: Controllable Generation of Diverse 3D Articulated Objects
- NeurIPS 2024AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries
- ICML 2024ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation
- ICLR 2024CODE REPRESENTATION LEARNING AT SCALE
- CVPR 2024Desigen: A Pipeline for Controllable Design Template Generation
- NeurIPS 2023ANPL: Towards Natural Programming with Interactive Decomposition
- ICML 2023Can Large Language Models Reason about Program Invariants?
- ICLR 2023Binding Language Models in Symbolic Languages
- CVPR 2023Attribute-Preserving Face Dataset Anonymization via Latent Code Optimization
- NeurIPS 2026A Theory of Time-Sensitive Language Generation: Sparse Hallucination Beats Mode Collapse
- ICML 2026Beyond Problem Solving: UOJ-Bench for Evaluating Code Generation, Hacking, and Repair in Competitive Programming
- ICLR 2026AssetFormer: Modular 3D Assets Generation with Autoregressive Transformer
- CVPR 2026Animator-Centric Skeleton Generation on Objects with Fine-Grained Details
全部代码生成论文
共 630 篇,第 8 / 13 页
- NeurIPS 2025LLM Meets Diffusion: A Hybrid Framework for Crystal Material Generation
- NeurIPS 2025LMFusion: Adapting Pretrained Language Models for Multimodal Generation
- NeurIPS 2025Machine Unlearning in 3D Generation: A Perspective-Coherent Acceleration Framework
- NeurIPS 2025Magical: Medical Lay Language Generation via Semantic Invariance and Layperson-tailored Adaptation
- NeurIPS 2025MaintainCoder: Maintainable Code Generation Under Dynamic Requirements
- NeurIPS 2025Matching Markets Meet LLMs: Algorithmic Reasoning with Ranked Preferences
- NeurIPS 2025Matryoshka Pilot: Learning to Drive Black-Box LLMs with LLMs
- NeurIPS 2025MEGADance: Mixture-of-Experts Architecture for Genre-Aware 3D Dance Generation
- NeurIPS 2025MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds
- NeurIPS 2025MetaDefense: Defending Fine-tuning based Jailbreak Attack Before and During Generation
- NeurIPS 2025Metis: A Foundation Speech Generation Model with Masked Generative Pre-training
- NeurIPS 2025MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across Versions
- NeurIPS 2025Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play Modules
- NeurIPS 2025MIND: Material Interface Generation from UDFs for Non-Manifold Surface Reconstruction
- NeurIPS 2025Mixture of Inputs: Text Generation Beyond Discrete Token Sampling
- NeurIPS 2025More Than Generation: Unifying Generation and Depth Estimation via Text-to-Image Diffusion Models
- NeurIPS 2025More Than Just Functional: LLM-as-a-Critique for Efficient Code Generation
- NeurIPS 2025Multiverse: Your Language Models Secretly Decide How to Parallelize and Merge Generation
- NeurIPS 2025Neither Valid nor Reliable? Investigating the Use of LLMs as Judges
- NeurIPS 2025NeuroGenPoisoning: Neuron-Guided Attacks on Retrieval-Augmented Generation of LLM via Genetic Optimization of External Knowledge
- NeurIPS 2025NeuroPath: Neurobiology-Inspired Path Tracking and Reflection for Semantically Coherent Retrieval
- NeurIPS 2025NFIG: Multi-Scale Autoregressive Image Generation via Frequency Ordering
- NeurIPS 2025OmniGen-AR: AutoRegressive Any-to-Image Generation
- NeurIPS 2025OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions
- NeurIPS 2025OmniSVG: A Unified Scalable Vector Graphics Generation Model
- NeurIPS 2025OmniTry: Virtual Try-On Anything without Masks
- NeurIPS 2025On the Entropy Calibration of Language Models
- NeurIPS 2025On Union-Closedness of Language Generation
- NeurIPS 2025OptiScene: LLM-driven Indoor Scene Layout Generation via Scaled Human-aligned Data Synthesis and Multi-Stage Preference Optimization
- NeurIPS 2025ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation
- NeurIPS 2025PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers
- NeurIPS 2025PartNeXt: A Next-Generation Dataset for Fine-Grained and Hierarchical 3D Part Understanding
- NeurIPS 2025Personalized Visual Content Generation in Conversational Systems
- NeurIPS 2025PF∆: A Benchmark Dataset for Power Flow under Load, Generation, and Topology Variations
- NeurIPS 2025PhysX-3D: Physical-Grounded 3D Asset Generation
- NeurIPS 2025PoE-World: Compositional World Modeling with Products of Programmatic Experts
- NeurIPS 2025PoseCrafter: Extreme Pose Estimation with Hybrid Video Synthesis
- NeurIPS 2025Practical and Effective Code Watermarking for Large Language Models
- NeurIPS 2025PrefixKV: Adaptive Prefix KV Cache is What Vision Instruction-Following Models Need for Efficient Generation
- NeurIPS 2025Preventing Shortcuts in Adapter Training via Providing the Shortcuts
- NeurIPS 2025Program Synthesis via Test-Time Transduction
- NeurIPS 2025PyraMotion: Attentional Pyramid-Structured Motion Integration for Co-Speech 3D Gesture Synthesis
- NeurIPS 2025QiMeng-CodeV-R1: Reasoning-Enhanced Verilog Generation
- NeurIPS 2025QiMeng-MuPa: Mutual-Supervised Learning for Sequential-to-Parallel Code Translation
- NeurIPS 2025QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code
- NeurIPS 2025QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation
- NeurIPS 2025Quantifying Elicitation of Latent Capabilities in Language Models
- NeurIPS 2025Quartet: Native FP4 Training Can Be Optimal for Large Language Models
- NeurIPS 2025RAGRouter: Learning to Route Queries to Multiple Retrieval-Augmented Language Models
- NeurIPS 2025Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查代码生成在 NeurIPS 2023–2026 的论文趋势,哪一年涨得最快?
AI 会调用的工具:get_topic_stats {"topic": "code-generation"}
常见问题
- 2023–2026 年四大会议一共有多少篇代码生成论文?
- 共 2,161 篇,按年份分别是 2023 年 210 篇、2024 年 446 篇、2025 年 645 篇、2026 年 860 篇。
- NeurIPS 2026 有多少篇代码生成论文?
- NeurIPS 2026 有 236 篇代码生成论文,上一届是 230 篇。
- ICLR 2026 有多少篇代码生成论文?
- ICLR 2026 有 241 篇代码生成论文,上一届是 164 篇。
- ICML 2026 有多少篇代码生成论文?
- ICML 2026 有 174 篇代码生成论文,上一届是 79 篇。
- CVPR 2026 有多少篇代码生成论文?
- CVPR 2026 有 209 篇代码生成论文,上一届是 172 篇。
- 哪个会议的代码生成论文最多?
- NeurIPS,2023–2026 年共 630 篇。