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 860 篇,第 16 / 18 页
- NeurIPS 2026LLMs Optimizing LLMs: Automated MegaKernel Generation for Inference Acceleration
- NeurIPS 2026LLMs Show No Signs Of Individuated Metacognition
- NeurIPS 2026LoopNav: Benchmarking Spatial Consistency in World Models
- NeurIPS 2026LoopWeaver: Weaving Feedback Loops into Hierarchical Generation under Constraints
- NeurIPS 2026Machine Unlearning in Diffusion LLMs
- NeurIPS 2026Matchability-Aware Conformal Prediction for Open-Ended Language Model Generation
- NeurIPS 2026MDMR-Bench: A Multi-Dimensional Benchmark for Multi-Reference Image Generation
- NeurIPS 2026Measuring Layer-wise Intrinsic Dimensionality of FFNs in LLMs via PCA
- NeurIPS 2026MedIGen: Reliable Medical Illustration Generation via Interleaved Introspective Reasoning
- NeurIPS 2026Mesh BDF: Barycentric Dominance Field for 3D Native Mesh Generation
- NeurIPS 2026MetaLoop: Benchmarking the Full Metacognitive Loop in LLMs
- NeurIPS 2026MobTA: Bus-Conditioned Zero-Shot Trajectory Generation via Task Arithmetic
- NeurIPS 2026MoCA: Mixture-of-Components Attention for Scalable Compositional 3D Generation
- NeurIPS 2026MoCAR: Motion-code Coordinate-aware AutoRegression for Continuous Trajectory Forecasting
- NeurIPS 2026Motion Forcing: Decoupling Ego and Object Motion via Sparse Inputs for Structured Video Generation
- NeurIPS 2026N-vium: Mixture-of-Exits Transformer for Accelerated Exact Generation
- NeurIPS 2026Natural-Language-Guided Protein Generation for Ligand-Binding Design
- NeurIPS 2026NeuroSynTheos: Learning to accelerate counterexample-guided reactive synthesis modulo theories
- NeurIPS 2026NIV: Neural Axis Variations for Variable Font Generation
- NeurIPS 2026Norm Anchors Make Model Edits Last
- NeurIPS 2026On the Price of Privacy for Language Identification and Generation
- NeurIPS 2026On-Policy Distillation with Open Property-Equivalence Reward for LLM-Based NL-to-SVA Generation
- NeurIPS 2026One View Is Enough: In-the-Wild Monocular Pretraining for Novel View Generation
- NeurIPS 2026OopsWorld! Operation-Grounded Seamless World Generation
- NeurIPS 2026Orthrus: Memory-Efficient Parallel Token Generation via Dual-View Diffusion
- NeurIPS 2026OverLay++: Dense-Overlap Layout-to-Image Generation Dataset
- NeurIPS 2026P-EAGLE: Parallel-Drafting EAGLE with Scalable Training
- NeurIPS 2026P$^{3}$: Joint Program-and-Proof Planning\\ for Verified Code Generation
- NeurIPS 2026Panoptic Scene Program Diffusion Transformer
- NeurIPS 2026Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation
- NeurIPS 2026PBT-Bench: Benchmarking AI Agents on Property-Based Testing
- NeurIPS 2026Permit: Permission-Aware Representation Intervention for Controlled Generation in Large Language Models
- NeurIPS 2026Phase-wise MLLM Tuning for Multi-framework WebUI Code Generation
- NeurIPS 2026PhysAgentGym: Free Physical-Law Verifiers for Training Small Code-Reasoning Agents
- NeurIPS 2026Population-Aligned Persona Generation for LLM-based Social Simulation
- NeurIPS 2026Prefix Likelihood-Ratio Control: Tail-Stable Training for Long-Horizon Language Generation
- NeurIPS 2026Primal Generation, Dual Judgment: Self-Training from Test-Time Scaling
- NeurIPS 2026Primal-Dual Flow Matching for Sample-Wise Constrained Generation
- NeurIPS 2026PRO: Enabling Precise and Robust Text Watermark for Open-Source LLMs
- NeurIPS 2026Property-Guided LLM Program Synthesis for Planning
- NeurIPS 2026PSD: Pushing the Pareto Frontier of Diffusion LLMs via Parallel Speculative Decoding
- NeurIPS 2026RAVEL: Rare Concept Generation and Editing via Graph-driven Relational Guidance
- NeurIPS 2026Re-evaluating Confidence Remasking in Masked Diffusion Language Models
- NeurIPS 2026Recursive Language Models
- NeurIPS 2026Refactoring Code Through Library Design
- NeurIPS 2026REFLEX: RNA Ensemble Generation via Flexibility-Calibrated Stochastic Bridge
- NeurIPS 2026Reinforcement Learning for Code Optimization
- NeurIPS 2026Reinforcement Learning with Verifiable Physics: Post-training LLMs for PDE Solver Generation
- NeurIPS 2026Render Structure Uncertainty for HTML Repair in MLLM-based UI-to-Code Generation
- NeurIPS 2026RepoZero: Can LLMs Generate a Code Repository from Scratch?
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。