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 111 篇,第 1 / 3 页
- ICML 2024Accelerating PDE Data Generation via Differential Operator Action in Solution Space
- ICML 2024Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
- ICML 2024ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation
- ICML 2024Adaptive Stabilization Based on Machine Learning for Column Generation
- ICML 2024Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models
- ICML 2024Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning
- ICML 2024Amortizing Pragmatic Program Synthesis with Rankings
- ICML 2024AST-T5: Structure-Aware Pretraining for Code Generation and Understanding
- ICML 2024Autoformalizing Euclidean Geometry
- ICML 2024Behavior Generation with Latent Actions
- ICML 2024BetterV: Controlled Verilog Generation with Discriminative Guidance
- ICML 2024BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
- ICML 2024C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models
- ICML 2024CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources
- ICML 2024Case-Based or Rule-Based: How Do Transformers Do the Math?
- ICML 2024Causality Based Front-door Defense Against Backdoor Attack on Language Models
- ICML 2024Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
- ICML 2024Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation
- ICML 2024Code as Reward: Empowering Reinforcement Learning with VLMs
- ICML 2024CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
- ICML 2024COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability
- ICML 2024Cross-view Masked Diffusion Transformers for Person Image Synthesis
- ICML 2024CuTS: Customizable Tabular Synthetic Data Generation
- ICML 2024DAG-Based Column Generation for Adversarial Team Games
- ICML 2024Data-Efficient Molecular Generation with Hierarchical Textual Inversion
- ICML 2024Debating with More Persuasive LLMs Leads to More Truthful Answers
- ICML 2024DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning
- ICML 2024DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation
- ICML 2024Diffuse, Sample, Project: Plug-And-Play Controllable Graph Generation
- ICML 2024Disentangled 3D Scene Generation with Layout Learning
- ICML 2024Distinguishing the Knowable from the Unknowable with Language Models
- ICML 2024Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates
- ICML 2024DPZero: Private Fine-Tuning of Language Models without Backpropagation
- ICML 2024Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference
- ICML 2024EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty
- ICML 2024Emergent Representations of Program Semantics in Language Models Trained on Programs
- ICML 2024Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality Generation
- ICML 2024Evaluating Quantized Large Language Models
- ICML 2024Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks
- ICML 2024Executable Code Actions Elicit Better LLM Agents
- ICML 2024Exploiting Code Symmetries for Learning Program Semantics
- ICML 2024Fast Text-to-3D-Aware Face Generation and Manipulation via Direct Cross-modal Mapping and Geometric Regularization
- ICML 2024FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering
- ICML 2024GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding
- ICML 2024GPTSwarm: Language Agents as Optimizable Graphs
- ICML 2024Graph Generation with Diffusion Mixture
- ICML 2024Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation
- ICML 2024Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis
- ICML 2024HumanTOMATO: Text-aligned Whole-body Motion Generation
- ICML 2024Hyperbolic Geometric Latent Diffusion Model for Graph 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。