代码生成论文趋势 2023–2026

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。

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 135 篇，第 1 / 3 页

1. NeurIPS 2024$\texttt{ConflictBank}$: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs
2. NeurIPS 2024Accelerating Blockwise Parallel Language Models with Draft Refinement
3. NeurIPS 2024ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models
4. NeurIPS 2024Action Imitation in Common Action Space for Customized Action Image Synthesis
5. NeurIPS 2024Ad Auctions for LLMs via Retrieval Augmented Generation
6. NeurIPS 2024AdjointDEIS: Efficient Gradients for Diffusion Models
7. NeurIPS 2024AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data
8. NeurIPS 2024Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization
9. NeurIPS 2024AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries
10. NeurIPS 2024An Analysis of Tokenization: Transformers under Markov Data
11. NeurIPS 2024AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation
12. NeurIPS 2024AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents
13. NeurIPS 2024Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs
14. NeurIPS 2024Benchmarking Counterfactual Image Generation
15. NeurIPS 2024Benchmarking LLMs via Uncertainty Quantification
16. NeurIPS 2024Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency
17. NeurIPS 2024Bridge-IF: Learning Inverse Protein Folding with Markov Bridges
18. NeurIPS 2024Building on Efficient Foundations: Effective Training of LLMs with Structured Feedforward Layers
19. NeurIPS 2024Can LLMs Implicitly Learn Numeric Parameter Constraints in Data Science APIs?
20. NeurIPS 2024Can We Leave Deepfake Data Behind in Training Deepfake Detector?
21. NeurIPS 2024ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence
22. NeurIPS 2024Code Repair with LLMs gives an Exploration-Exploitation Tradeoff
23. NeurIPS 2024CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models
24. NeurIPS 2024CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming
25. NeurIPS 2024CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training
26. NeurIPS 2024ComBack: A Versatile Dataset for Enhancing Compiler Backend Development Efficiency
27. NeurIPS 2024Conditional Synthesis of 3D Molecules with Time Correction Sampler
28. NeurIPS 2024Confidence Regulation Neurons in Language Models
29. NeurIPS 2024ContextCite: Attributing Model Generation to Context
30. NeurIPS 2024DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation
31. NeurIPS 2024DataComp-LM: In search of the next generation of training sets for language models
32. NeurIPS 2024DF40: Toward Next-Generation Deepfake Detection
33. NeurIPS 2024DiffuPac: Contextual Mimicry in Adversarial Packets Generation via Diffusion Model
34. NeurIPS 2024Diffusion Twigs with Loop Guidance for Conditional Graph Generation
35. NeurIPS 2024Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text
36. NeurIPS 2024Discrete-state Continuous-time Diffusion for Graph Generation
37. NeurIPS 2024Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation
38. NeurIPS 2024DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos
39. NeurIPS 2024DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs
40. NeurIPS 2024EffiBench: Benchmarking the Efficiency of Automatically Generated Code
41. NeurIPS 2024EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization
42. NeurIPS 2024EgoSim: An Egocentric Multi-view Simulator and Real Dataset for Body-worn Cameras during Motion and Activity
43. NeurIPS 2024Einsum Benchmark: Enabling the Development of Next-Generation Tensor Execution Engines
44. NeurIPS 2024ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis
45. NeurIPS 2024Equivariant Neural Diffusion for Molecule Generation
46. NeurIPS 2024Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention
47. NeurIPS 2024Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation
48. NeurIPS 2024EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations
49. NeurIPS 2024Exploring DCN-like architecture for fast image generation with arbitrary resolution
50. NeurIPS 2024Face2QR: A Unified Framework for Aesthetic, Face-Preserving, and Scannable QR 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。