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 174 篇,第 1 / 4 页
- ICML 2026$A_2$DEPT: Large Language Model–Driven Automated Algorithm Design via Evolutionary Program Trees
- ICML 2026A Flat Vocabulary or a Rich Hierarchy? Re-introducing Intrinsic Structure Transforms the Autoregressive Image Generation
- ICML 2026ABSINT-AI: Agentic Heap Abstractions for Abstract Interpretation
- ICML 2026Adaptive Code Watermarking Through Reinforcement Learning
- ICML 2026Adaptive Generation of Bias-Eliciting Questions for LLMs
- ICML 2026AdverMCTS: Combating Pseudo-Correctness in Code Generation via Adversarial Monte Carlo Tree Search
- ICML 2026Agent JIT Compilation for Latency-Optimizing Web Agent Planning and Scheduling
- ICML 2026AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code Generation
- ICML 2026AlgoVeri: An Aligned Benchmark for Verified Code Generation on Classical Algorithms
- ICML 2026Anchoring Self-Play for Code Repair
- ICML 2026Antidistillation Fingerprinting
- ICML 2026Attention Projection Mixing with Exogenous Anchors
- ICML 2026AugMask: Training Diffusion Models on Incomplete Tabular Data via Stochastic Augmentation and Masking
- ICML 2026AutoBaxBuilder: Bootstrapping Code Security Benchmarking
- ICML 2026Autoregressive, Yet Revisable: In Decoding Revision for Secure Code Generation
- ICML 2026Balancing Fidelity and Diversity in Diffusion Models via Symmetric Attention Decomposition: Hopfield Perspective
- ICML 2026Benchmarking Reward Hack Detection in Code Environments via Contrastive Analysis
- ICML 2026BEST: Benchmarking Efficiency in Space and Time for LLM-Generated Code
- ICML 2026Beyond Problem Solving: UOJ-Bench for Evaluating Code Generation, Hacking, and Repair in Competitive Programming
- ICML 2026Beyond Text-to-SQL: Can LLMs Really Debug Enterprise ETL SQL?
- ICML 2026BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning
- ICML 2026BlueCodeAgent: A Blue Teaming Agent Powered by Automated Red Teaming for CodeGen AI
- ICML 2026BOOSTAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models
- ICML 2026Bridging Functional Correctness and Runtime Efficiency Gaps in LLM-Based Code Translation
- ICML 2026Bridging Tokens and Geometry: Token-wise 3D Supervision for CAD Generation
- ICML 2026Bringing Code ALIVE: Optimizing Interactive Frontend Mini-Games via Automated Play and Reinforcement Learning at Scale
- ICML 2026CADFit: Precise Mesh-to-CAD Program Generation with Hybrid Optimization
- ICML 2026Can LLMs Reason Like Automated Theorem Provers for Rust Verification? VCoT-Bench: Evaluating via Verification Chain of Thought
- ICML 2026Can Recommender Systems Teach Themselves? A Recursive Self-Improving Framework with Fidelity Control
- ICML 2026CATArena: Evaluating Evolutionary Capabilities of Code Agents via Iterative Tournaments
- ICML 2026Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation
- ICML 2026Characterizing the Effect of Noise in Language Generation in the Limit
- ICML 2026CIRBench: Evaluating Large Language Models as LLVM IR Optimizers
- ICML 2026Closing the Loop: Universal Repository Representation with RPG-Encoder
- ICML 2026CoDA-Bench: Can Code Agents Handle Data-Intensive Tasks?
- ICML 2026CodeChemist: Test-Time Scaling for Low-Resource Code Generation via Functional Knowledge Transfer
- ICML 2026CodeTaste: Can LLMs Generate Human-Level Code Refactorings?
- ICML 2026CoFrGeNet: Continued Fraction Architectures for Language Generation
- ICML 2026Controllable Molecule Generation via Sparse Representation Editing: An Interpretability-Driven Perspective
- ICML 2026ConTSG-Bench: A Unified Benchmark for Conditional Time Series Generation
- ICML 2026CVE-Factory: Scaling Expert-Level Agentic Tasks for Code Security Vulnerability
- ICML 2026Depth-Progressive Monotonic Learning without Global Backpropagation
- ICML 2026Deterministic Component Mining for Multi-Framework UI2Code Generation
- ICML 2026DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation
- ICML 2026Diff-MN: Diffusion Parameterized MoE-NCDE for Continuous Time Series Generation with Irregular Observations
- ICML 2026Dreaming in Code for Curriculum Learning in Open-Ended Worlds
- ICML 2026DRIVE: Best Data Scheduling Practices for Reinforcement Learning with Verifiable Reward in Competitive Code Generation
- ICML 2026DRPBench: Evaluating LLMs in Concurrent Code Comprehension via Fine-Grained Data Race Prediction
- ICML 2026ECA: Efficient Continual Alignment for Open-Ended Image-to-Text Generation
- ICML 2026Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models
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。