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 446 篇,第 9 / 9 页
- NeurIPS 2024NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics
- NeurIPS 2024OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance
- NeurIPS 2024Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
- NeurIPS 2024Order-Independence Without Fine Tuning
- NeurIPS 2024PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation
- NeurIPS 2024Predictive Attractor Models
- NeurIPS 2024Protecting Your LLMs with Information Bottleneck
- NeurIPS 2024PuLID: Pure and Lightning ID Customization via Contrastive Alignment
- NeurIPS 2024QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs
- NeurIPS 2024QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation
- NeurIPS 2024Rad-NeRF: Ray-decoupled Training of Neural Radiance Field
- NeurIPS 2024RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
- NeurIPS 2024RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
- NeurIPS 2024RedCode: Risky Code Execution and Generation Benchmark for Code Agents
- NeurIPS 2024Reducing Transformer Key-Value Cache Size with Cross-Layer Attention
- NeurIPS 2024RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content
- NeurIPS 2024Reproducibility Study of "ITI-GEN: Inclusive Text-to-Image Generation"
- NeurIPS 2024Reranking Laws for Language Generation: A Communication-Theoretic Perspective
- NeurIPS 2024RL-GPT: Integrating Reinforcement Learning and Code-as-policy
- NeurIPS 2024SciCode: A Research Coding Benchmark Curated by Scientists
- NeurIPS 2024Score Distillation via Reparametrized DDIM
- NeurIPS 2024Score-based 3D molecule generation with neural fields
- NeurIPS 2024Selective Generation for Controllable Language Models
- NeurIPS 2024SelfCodeAlign: Self-Alignment for Code Generation
- NeurIPS 2024SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning
- NeurIPS 2024SnapKV: LLM Knows What You are Looking for Before Generation
- NeurIPS 2024Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases
- NeurIPS 2024SparseLLM: Towards Global Pruning of Pre-trained Language Models
- NeurIPS 2024Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation
- NeurIPS 2024Stylebreeder: Exploring and Democratizing Artistic Styles through Text-to-Image Models
- NeurIPS 2024Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques
- NeurIPS 2024SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code Agents
- NeurIPS 2024Synergistic Dual Spatial-aware Generation of Image-to-text and Text-to-image
- NeurIPS 2024Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages
- NeurIPS 2024The ALCHEmist: Automated Labeling 500x CHEaper than LLM Data Annotators
- NeurIPS 2024Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis
- NeurIPS 2024Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation
- NeurIPS 2024Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
- NeurIPS 2024U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers
- NeurIPS 2024UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis
- NeurIPS 2024UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks
- NeurIPS 2024Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
- NeurIPS 2024Verified Code Transpilation with LLMs
- NeurIPS 2024Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs
- NeurIPS 2024Where does In-context Learning Happen in Large Language Models?
- NeurIPS 2024ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification
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。