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 241 篇，第 5 / 5 页
- ICLR 2026SliderQuant: Accurate Post-Training Quantization for LLMs
- ICLR 2026Soft-Di[M]O: Improved one-step Image Discrete Model
- ICLR 2026Soft-Masked Diffusion Language Models
- ICLR 2026SongEcho: Towards Cover Song Generation via Instance-Adaptive Element-wise Linear Modulation
- ICLR 2026SPARTA: Scalable and Principled Benchmark of Tree-Structured Multi-hop QA over Text and Tables
- ICLR 2026SSG: Scaled Spatial Guidance for Multi-Scale Visual Autoregressive Generation
- ICLR 2026Steering Autoregressive Music Generation with Recursive Feature Machines
- ICLR 2026Step-Aware Residual-Guided Diffusion for EEG Spatial Super-Resolution
- ICLR 2026Stop Tracking Me! Proactive Defense Against Attribute Inference Attack in LLMs
- ICLR 2026StoryAlign: Evaluating and Training Reward Models for Story Generation
- ICLR 2026Streaming Autoregressive Video Generation via Diagonal Distillation
- ICLR 2026String Seed of Thought: Prompting LLMs for Distribution-Faithful and Diverse Generation
- ICLR 2026StyliTruth : Unlocking Stylized yet Truthful LLM Generation via Disentangled Steering
- ICLR 2026SWERank: Software Issue Localization with Code Ranking
- ICLR 2026SWINGARENA: Adversarial Programming Arena for Long-context GitHub Issue Solving
- ICLR 2026SyncTrack: Rhythmic Stability and Synchronization in Multi-Track Music Generation
- ICLR 2026Tell me Habibi, is it Real or Fake?
- ICLR 2026Test-Time Alignment for Large Language Models via Textual Model Predictive Control
- ICLR 2026The Matthew Effect of AI Programming Assistants: A Hidden Bias in Software Evolution
- ICLR 2026The Natural Geometry of Code: Hyperbolic Representation Learning for Program Reasoning
- ICLR 2026The Quest for Generalizable Motion Generation: Data, Model, and Evaluation
- ICLR 2026Think-While-Generating: On-the-Fly Reasoning for Personalized Long-Form Generation
- ICLR 2026TikZilla: Scaling Text-to-TikZ with High-Quality Data and Reinforcement Learning
- ICLR 2026ToolACE-MT: Non-Autoregressive Generation for Agentic Multi-Turn Interaction
- ICLR 2026Topology-Preserved Auto-regressive Mesh Generation in the Manner of Weaving Silk
- ICLR 2026Toward Complex-Valued Neural Networks for Waveform Generation
- ICLR 2026TrajTok: What makes for a good trajectory tokenizer in behavior generation?
- ICLR 2026TROLL: Trust Regions Improve Reinforcement Learning for Large Language Models
- ICLR 2026Turning Internal Gap into Self-Improvement: Promoting the Generation-Understanding Unification in MLLMs
- ICLR 2026UniCalli: A Unified Diffusion Framework for Column-Level Generation and Recognition of Chinese Calligraphy
- ICLR 2026VeriEquivBench: An Equivalence Score for Ground-Truth-Free Evaluation of Formally Verifiable Code
- ICLR 2026VERINA: Benchmarking Verifiable Code Generation
- ICLR 2026VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation
- ICLR 2026VisCoder2: Building Multi-Language Visualization Coding Agents
- ICLR 2026VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models
- ICLR 2026VSF: Simple, Efficient, and Effective Negative Guidance in Few-Step Image Generation Models By Value Sign Flip
- ICLR 2026What's the plan? Metrics for implicit planning in LLMs and their application to rhyme generation
- ICLR 2026Why is Your Language Model a Poor Implicit Reward Model?
- ICLR 2026WithAnyone: Toward Controllable and ID Consistent Image Generation
- ICLR 2026Zephyrus: An Agentic Framework for Weather Science
- ICLR 2026ZIP-RC: Zero-overhead Inference-time Prediction of Reward and Cost for Adaptive and Interpretable 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。