Code Generation papers, 2023–2026
Program synthesis and code LLMs
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 2,161 papers are tagged with this topic.
Key findings
- Code Generation went from 210 papers in 2023 to 860 in 2026, roughly 4.1x in three years.
- NeurIPS publishes the most Code Generation work: 630 papers from 2023 to 2026, 29% of the four-venue total.
- The fastest-growing overlap is with AI Agents: papers tagged with both rose from 0 in 2023 to 93 in 2026.
- Among the 5 topics under Natural Language, it ranks #1 by 2026 paper count; the fastest grower in the group, Retrieval-Augmented Generation, is up 5.4x versus 4.1x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 29 | 55 | 31 | 95 | 210 |
| 2024 | 135 | 66 | 111 | 134 | 446 |
| 2025 | 230 | 164 | 79 | 172 | 645 |
| 2026 | 236 | 241 | 174 | 209 | 860 |
Representative papers
Spread across years and venues so every edition shows up
- 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
All Code Generation papers
526 papers, page 10 of 11
- ICLR 2024PanoDiffusion: 360-degree Panorama Outpainting via Diffusion
- ICLR 2024Personalize Segment Anything Model with One Shot
- ICLR 2024PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code
- ICLR 2024Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
- ICLR 2024Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesis
- ICLR 2024RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems
- ICLR 2024Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
- ICLR 2024Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape
- ICLR 2024Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation
- ICLR 2024Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification
- ICLR 2024Spatially-Aware Transformers for Embodied Agents
- ICLR 2024Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation
- ICLR 2024Teaching Large Language Models to Self-Debug
- ICLR 2024Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs
- ICLR 2024The Consensus Game: Language Model Generation via Equilibrium Search
- ICLR 2024The Reversal Curse: LLMs trained on “A is B” fail to learn “B is A”
- ICLR 2024Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints
- ICLR 2024Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs
- ICLR 2024TUVF: Learning Generalizable Texture UV Radiance Fields
- ICLR 2024WizardCoder: Empowering Code Large Language Models with Evol-Instruct
- ICLR 2024Zero Bubble (Almost) Pipeline Parallelism
- ICLR 20233D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction
- ICLR 20233D generation on ImageNet
- ICLR 2023An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
- ICLR 2023Ask Me Anything: A simple strategy for prompting language models
- ICLR 2023BigVGAN: A Universal Neural Vocoder with Large-Scale Training
- ICLR 2023Binding Language Models in Symbolic Languages
- ICLR 2023Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint
- ICLR 2023Calibrating Sequence likelihood Improves Conditional Language Generation
- ICLR 2023CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement
- ICLR 2023Code Translation with Compiler Representations
- ICLR 2023CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code
- ICLR 2023CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
- ICLR 2023CodeT: Code Generation with Generated Tests
- ICLR 2023De Novo Molecular Generation via Connection-aware Motif Mining
- ICLR 2023Decompositional Generation Process for Instance-Dependent Partial Label Learning
- ICLR 2023Denoising Diffusion Error Correction Codes
- ICLR 2023DiGress: Discrete Denoising diffusion for graph generation
- ICLR 2023Dilated convolution with learnable spacings
- ICLR 2023DocPrompting: Generating Code by Retrieving the Docs
- ICLR 2023EVA3D: Compositional 3D Human Generation from 2D Image Collections
- ICLR 2023Evidential Uncertainty and Diversity Guided Active Learning for Scene Graph Generation
- ICLR 2023Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning
- ICLR 2023FunkNN: Neural Interpolation for Functional Generation
- ICLR 2023Generating Sequences by Learning to Self-Correct
- ICLR 2023Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules
- ICLR 2023InCoder: A Generative Model for Code Infilling and Synthesis
- ICLR 2023IS SYNTHETIC DATA FROM GENERATIVE MODELS READY FOR IMAGE RECOGNITION?
- ICLR 2023Iterative Circuit Repair Against Formal Specifications
- ICLR 2023Language Models are Realistic Tabular Data Generators
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FAQ
- How many Code Generation papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 2,161 in total: 210 in 2023, 446 in 2024, 645 in 2025, 860 in 2026.
- How many Code Generation papers are at NeurIPS 2026?
- NeurIPS 2026 has 236 Code Generation papers, versus 230 the year before.
- How many Code Generation papers are at ICLR 2026?
- ICLR 2026 has 241 Code Generation papers, versus 164 the year before.
- How many Code Generation papers are at ICML 2026?
- ICML 2026 has 174 Code Generation papers, versus 79 the year before.
- How many Code Generation papers are at CVPR 2026?
- CVPR 2026 has 209 Code Generation papers, versus 172 the year before.
- Which conference publishes the most Code Generation papers?
- NeurIPS, with 630 papers from 2023 to 2026.