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 6 / 13 页
- ICLR 2025Learning How Hard to Think: Input-Adaptive Allocation of LM Computation
- ICLR 2025Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels
- ICLR 2025Let the Code LLM Edit Itself When You Edit the Code
- ICLR 2025LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
- ICLR 2025Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG
- ICLR 2025LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs
- ICLR 2025LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs
- ICLR 2025MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions
- ICLR 2025MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
- ICLR 2025MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding
- ICLR 2025MagicPIG: LSH Sampling for Efficient LLM Generation
- ICLR 2025MAGNet: Motif-Agnostic Generation of Molecules from Scaffolds
- ICLR 2025Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs
- ICLR 2025McEval: Massively Multilingual Code Evaluation
- ICLR 2025Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse
- ICLR 2025Measuring memorization in RLHF for code completion
- ICLR 2025MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers
- ICLR 2025Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning
- ICLR 2025NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
- ICLR 2025ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding
- ICLR 2025OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code
- ICLR 2025OmniKV: Dynamic Context Selection for Efficient Long-Context LLMs
- ICLR 2025One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs
- ICLR 2025OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?
- ICLR 2025OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling
- ICLR 2025PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation
- ICLR 2025Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs
- ICLR 2025PianoMotion10M: Dataset and Benchmark for Hand Motion Generation in Piano Performance
- ICLR 2025PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance
- ICLR 2025Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-based Formalized Programming
- ICLR 2025Planning in Natural Language Improves LLM Search for Code Generation
- ICLR 2025Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models
- ICLR 2025Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation
- ICLR 2025Procedural Synthesis of Synthesizable Molecules
- ICLR 2025RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
- ICLR 2025Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance
- ICLR 2025Ready-to-React: Online Reaction Policy for Two-Character Interaction Generation
- ICLR 2025Real2Code: Reconstruct Articulated Objects via Code Generation
- ICLR 2025Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow
- ICLR 2025RefactorBench: Evaluating Stateful Reasoning in Language Agents Through Code
- ICLR 2025Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation
- ICLR 2025RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph
- ICLR 2025Resolution Attack: Exploiting Image Compression to Deceive Deep Neural Networks
- ICLR 2025Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions
- ICLR 2025RuAG: Learned-rule-augmented Generation for Large Language Models
- ICLR 2025SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration
- ICLR 2025SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers
- ICLR 2025Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation
- ICLR 2025ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery
- ICLR 2025ScImage: How good are multimodal large language models at scientific text-to-image generation?
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。