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 645 篇,第 7 / 13 页
- ICLR 2025SFS: Smarter Code Space Search improves LLM Inference Scaling
- ICLR 2025Shh, don't say that! Domain Certification in LLMs
- ICLR 2025Show-o: One Single Transformer to Unify Multimodal Understanding and Generation
- ICLR 2025SINGAPO: Single Image Controlled Generation of Articulated Parts in Objects
- ICLR 2025Sitcom-Crafter: A Plot-Driven Human Motion Generation System in 3D Scenes
- ICLR 2025Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
- ICLR 2025Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
- ICLR 2025STAR: Synthesis of Tailored Architectures
- ICLR 2025STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs
- ICLR 2025Steering Large Language Models between Code Execution and Textual Reasoning
- ICLR 2025Sufficient Context: A New Lens on Retrieval Augmented Generation Systems
- ICLR 2025SysBench: Can LLMs Follow System Message?
- ICLR 2025Taming Overconfidence in LLMs: Reward Calibration in RLHF
- ICLR 2025TC-MoE: Augmenting Mixture of Experts with Ternary Expert Choice
- ICLR 2025Teaching LLMs How to Learn with Contextual Fine-Tuning
- ICLR 2025Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency
- ICLR 2025TestGenEval: A Real World Unit Test Generation and Test Completion Benchmark
- ICLR 2025The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation
- ICLR 2025The KoLMogorov Test: Compression by Code Generation
- ICLR 2025The Ramanujan Library - Automated Discovery on the Hypergraph of Integer Relations
- ICLR 2025The Rise and Down of Babel Tower: Investigating the Evolution Process of Multilingual Code Large Language Model
- ICLR 2025ThinK: Thinner Key Cache by Query-Driven Pruning
- ICLR 2025To Code or Not To Code? Exploring Impact of Code in Pre-training
- ICLR 2025Towards Realistic Data Generation for Real-World Super-Resolution
- ICLR 2025Training Language Models on Synthetic Edit Sequences Improves Code Synthesis
- ICLR 2025TULIP: Token-length Upgraded CLIP
- ICLR 2025Turning Up the Heat: Min-p Sampling for Creative and Coherent LLM Outputs
- ICLR 2025Two Sparse Matrices are Better than One: Sparsifying Neural Networks with Double Sparse Factorization
- ICLR 2025Uncertainty-Aware Decoding with Minimum Bayes Risk
- ICLR 2025Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment
- ICLR 2025Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs
- ICLR 2025What Makes Large Language Models Reason in (Multi-Turn) Code Generation?
- ICLR 2025What's New in My Data? Novelty Exploration via Contrastive Generation
- ICLR 2025When Attention Sink Emerges in Language Models: An Empirical View
- ICLR 2025WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models
- ICLR 2025You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs
- ICML 2025AAAR-1.0: Assessing AI’s Potential to Assist Research
- ICML 2025Agent-as-a-Judge: Evaluate Agents with Agents
- ICML 2025AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement
- ICML 2025An Online Learning Approach to Prompt-based Selection of Generative Models and LLMs
- ICML 2025AuPair: Golden Example Pairs for Code Repair
- ICML 2025AUTOCIRCUIT-RL: Reinforcement Learning-Driven LLM for Automated Circuit Topology Generation
- ICML 2025Automated Benchmark Generation for Repository-Level Coding Tasks
- ICML 2025BaxBench: Can LLMs Generate Correct and Secure Backends?
- ICML 2025Black-Box Adversarial Attacks on LLM-Based Code Completion
- ICML 2025BoA: Attention-aware Post-training Quantization without Backpropagation
- ICML 2025Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing
- ICML 2025Can Large Language Models Understand Intermediate Representations in Compilers?
- ICML 2025CodeIO: Condensing Reasoning Patterns via Code Input-Output Prediction
- ICML 2025CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance
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。