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 29 篇，第 1 / 1 页
- NeurIPS 2023ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers
- NeurIPS 2023Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
- NeurIPS 2023ANPL: Towards Natural Programming with Interactive Decomposition
- NeurIPS 2023Arbitrarily Scalable Environment Generators via Neural Cellular Automata
- NeurIPS 2023Beyond MLE: Convex Learning for Text Generation
- NeurIPS 2023CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion
- NeurIPS 2023Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D Generation
- NeurIPS 2023Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-Thought
- NeurIPS 2023Enhancing Robot Program Synthesis Through Environmental Context
- NeurIPS 2023EvoPrompting: Language Models for Code-Level Neural Architecture Search
- NeurIPS 2023FACE: Evaluating Natural Language Generation with Fourier Analysis of Cross-Entropy
- NeurIPS 2023FaceComposer: A Unified Model for Versatile Facial Content Creation
- NeurIPS 2023Improving Diffusion-Based Image Synthesis with Context Prediction
- NeurIPS 2023InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback
- NeurIPS 2023Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
- NeurIPS 2023LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas
- NeurIPS 2023Language-driven Scene Synthesis using Multi-conditional Diffusion Model
- NeurIPS 2023MarioGPT: Open-Ended Text2Level Generation through Large Language Models
- NeurIPS 2023MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
- NeurIPS 2023Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context
- NeurIPS 2023MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion
- NeurIPS 2023Non-autoregressive Machine Translation with Probabilistic Context-free Grammar
- NeurIPS 2023Parsel🐍: Algorithmic Reasoning with Language Models by Composing Decompositions
- NeurIPS 2023SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models
- NeurIPS 2023Simple and Controllable Music Generation
- NeurIPS 2023SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs
- NeurIPS 2023Towards Symmetry-Aware Generation of Periodic Materials
- NeurIPS 2023Uncovering and Quantifying Social Biases in Code Generation
- NeurIPS 2023XAGen: 3D Expressive Human Avatars Generation
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。