Code Generation papers, 2023–2026

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.

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

55 papers, page 1 of 2

1. ICLR 20233D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction
2. ICLR 20233D generation on ImageNet
3. ICLR 2023An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
4. ICLR 2023Ask Me Anything: A simple strategy for prompting language models
5. ICLR 2023BigVGAN: A Universal Neural Vocoder with Large-Scale Training
6. ICLR 2023Binding Language Models in Symbolic Languages
7. ICLR 2023Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint
8. ICLR 2023Calibrating Sequence likelihood Improves Conditional Language Generation
9. ICLR 2023CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement
10. ICLR 2023Code Translation with Compiler Representations
11. ICLR 2023CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code
12. ICLR 2023CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
13. ICLR 2023CodeT: Code Generation with Generated Tests
14. ICLR 2023De Novo Molecular Generation via Connection-aware Motif Mining
15. ICLR 2023Decompositional Generation Process for Instance-Dependent Partial Label Learning
16. ICLR 2023Denoising Diffusion Error Correction Codes
17. ICLR 2023DiGress: Discrete Denoising diffusion for graph generation
18. ICLR 2023Dilated convolution with learnable spacings
19. ICLR 2023DocPrompting: Generating Code by Retrieving the Docs
20. ICLR 2023EVA3D: Compositional 3D Human Generation from 2D Image Collections
21. ICLR 2023Evidential Uncertainty and Diversity Guided Active Learning for Scene Graph Generation
22. ICLR 2023Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning
23. ICLR 2023FunkNN: Neural Interpolation for Functional Generation
24. ICLR 2023Generating Sequences by Learning to Self-Correct
25. ICLR 2023Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules
26. ICLR 2023InCoder: A Generative Model for Code Infilling and Synthesis
27. ICLR 2023IS SYNTHETIC DATA FROM GENERATIVE MODELS READY FOR IMAGE RECOGNITION?
28. ICLR 2023Iterative Circuit Repair Against Formal Specifications
29. ICLR 2023Language Models are Realistic Tabular Data Generators
30. ICLR 2023Language Models Can Teach Themselves to Program Better
31. ICLR 2023Learning to Generate Columns with Application to Vertex Coloring
32. ICLR 2023Learning with Stochastic Orders
33. ICLR 2023Molecule Generation For Target Protein Binding with Structural Motifs
34. ICLR 2023Multi-domain image generation and translation with identifiability guarantees
35. ICLR 2023Multi-lingual Evaluation of Code Generation Models
36. ICLR 2023Non-parametric Outlier Synthesis
37. ICLR 2023Offline RL for Natural Language Generation with Implicit Language Q Learning
38. ICLR 2023On the Perils of Cascading Robust Classifiers
39. ICLR 2023On the Usefulness of Embeddings, Clusters and Strings for Text Generation Evaluation
40. ICLR 2023Out-of-Distribution Detection and Selective Generation for Conditional Language Models
41. ICLR 2023Outcome-directed Reinforcement Learning by Uncertainty \& Temporal Distance-Aware Curriculum Goal Generation
42. ICLR 2023Planning with Large Language Models for Code Generation
43. ICLR 2023PV3D: A 3D Generative Model for Portrait Video Generation
44. ICLR 2023Re-parameterizing Your Optimizers rather than Architectures
45. ICLR 2023Recitation-Augmented Language Models
46. ICLR 2023Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors
47. ICLR 2023Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation
48. ICLR 2023SketchKnitter: Vectorized Sketch Generation with Diffusion Models
49. ICLR 2023Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions
50. ICLR 2023Tailoring Language Generation Models under Total Variation Distance

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.