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 164 篇,第 1 / 4 页
- ICLR 20253DIS: Depth-Driven Decoupled Image Synthesis for Universal Multi-Instance Generation
- ICLR 2025A Simple Approach to Unifying Diffusion-based Conditional Generation
- ICLR 2025A Theory for Token-Level Harmonization in Retrieval-Augmented Generation
- ICLR 2025Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding
- ICLR 2025Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection
- ICLR 2025Adaptive Deployment of Untrusted LLMs Reduces Distributed Threats
- ICLR 2025Adding Conditional Control to Diffusion Models with Reinforcement Learning
- ICLR 2025Advancing Graph Generation through Beta Diffusion
- ICLR 2025AFlow: Automating Agentic Workflow Generation
- ICLR 2025Aligning Human Motion Generation with Human Perceptions
- ICLR 2025An Engorgio Prompt Makes Large Language Model Babble on
- ICLR 2025APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding
- ICLR 2025API Pack: A Massive Multi-Programming Language Dataset for API Call Generation
- ICLR 2025Automated Proof Generation for Rust Code via Self-Evolution
- ICLR 2025Backtracking Improves Generation Safety
- ICLR 2025Benchmarking Agentic Workflow Generation
- ICLR 2025Beyond Autoregression: Fast LLMs via Self-Distillation Through Time
- ICLR 2025BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
- ICLR 2025BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks
- ICLR 2025BOND: Aligning LLMs with Best-of-N Distillation
- ICLR 2025Calibrating LLMs with Information-Theoretic Evidential Deep Learning
- ICLR 2025Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
- ICLR 2025ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation
- ICLR 2025ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities
- ICLR 2025ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models
- ICLR 2025CodePlan: Unlocking Reasoning Potential in Large Language Models by Scaling Code-form Planning
- ICLR 2025Commit0: Library Generation from Scratch
- ICLR 2025Context Steering: Controllable Personalization at Inference Time
- ICLR 2025ControlAR: Controllable Image Generation with Autoregressive Models
- ICLR 2025Controllable Generation via Locally Constrained Resampling
- ICLR 2025ConvCodeWorld: Benchmarking Conversational Code Generation in Reproducible Feedback Environments
- ICLR 2025Copyright-Protected Language Generation via Adaptive Model Fusion
- ICLR 2025CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking
- ICLR 2025Correlation and Navigation in the Vocabulary Key Representation Space of Language Models
- ICLR 2025CraftRTL: High-quality Synthetic Data Generation for Verilog Code Models with Correct-by-Construction Non-Textual Representations and Targeted Code Repair
- ICLR 2025CubeDiff: Repurposing Diffusion-Based Image Models for Panorama Generation
- ICLR 2025DataGen: Unified Synthetic Dataset Generation via Large Language Models
- ICLR 2025DAWN: Dynamic Frame Avatar with Non-autoregressive Diffusion Framework for Talking head Video Generation
- ICLR 2025DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model
- ICLR 2025Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning
- ICLR 2025Diffusion On Syntax Trees For Program Synthesis
- ICLR 2025Diffusion-based Neural Network Weights Generation
- ICLR 2025DiscoveryBench: Towards Data-Driven Discovery with Large Language Models
- ICLR 2025Discrete Distribution Networks
- ICLR 2025Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization
- ICLR 2025DynamicCity: Large-Scale 4D Occupancy Generation from Dynamic Scenes
- ICLR 2025ECHOPulse: ECG Controlled Echocardio-gram Video Generation
- ICLR 2025Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models
- ICLR 2025ESE: Espresso Sentence Embeddings
- ICLR 2025Execution-guided within-prompt search for programming-by-example
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。