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

446 papers, page 9 of 9

401. NeurIPS 2024NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics
402. NeurIPS 2024OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance
403. NeurIPS 2024Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
404. NeurIPS 2024Order-Independence Without Fine Tuning
405. NeurIPS 2024PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation
406. NeurIPS 2024Predictive Attractor Models
407. NeurIPS 2024Protecting Your LLMs with Information Bottleneck
408. NeurIPS 2024PuLID: Pure and Lightning ID Customization via Contrastive Alignment
409. NeurIPS 2024QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs
410. NeurIPS 2024QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation
411. NeurIPS 2024Rad-NeRF: Ray-decoupled Training of Neural Radiance Field
412. NeurIPS 2024RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
413. NeurIPS 2024RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
414. NeurIPS 2024RedCode: Risky Code Execution and Generation Benchmark for Code Agents
415. NeurIPS 2024Reducing Transformer Key-Value Cache Size with Cross-Layer Attention
416. NeurIPS 2024RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content
417. NeurIPS 2024Reproducibility Study of "ITI-GEN: Inclusive Text-to-Image Generation"
418. NeurIPS 2024Reranking Laws for Language Generation: A Communication-Theoretic Perspective
419. NeurIPS 2024RL-GPT: Integrating Reinforcement Learning and Code-as-policy
420. NeurIPS 2024SciCode: A Research Coding Benchmark Curated by Scientists
421. NeurIPS 2024Score Distillation via Reparametrized DDIM
422. NeurIPS 2024Score-based 3D molecule generation with neural fields
423. NeurIPS 2024Selective Generation for Controllable Language Models
424. NeurIPS 2024SelfCodeAlign: Self-Alignment for Code Generation
425. NeurIPS 2024SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning
426. NeurIPS 2024SnapKV: LLM Knows What You are Looking for Before Generation
427. NeurIPS 2024Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases
428. NeurIPS 2024SparseLLM: Towards Global Pruning of Pre-trained Language Models
429. NeurIPS 2024Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation
430. NeurIPS 2024Stylebreeder: Exploring and Democratizing Artistic Styles through Text-to-Image Models
431. NeurIPS 2024Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques
432. NeurIPS 2024SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code Agents
433. NeurIPS 2024Synergistic Dual Spatial-aware Generation of Image-to-text and Text-to-image
434. NeurIPS 2024Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages
435. NeurIPS 2024The ALCHEmist: Automated Labeling 500x CHEaper than LLM Data Annotators
436. NeurIPS 2024Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis
437. NeurIPS 2024Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation
438. NeurIPS 2024Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
439. NeurIPS 2024U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers
440. NeurIPS 2024UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis
441. NeurIPS 2024UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks
442. NeurIPS 2024Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
443. NeurIPS 2024Verified Code Transpilation with LLMs
444. NeurIPS 2024Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs
445. NeurIPS 2024Where does In-context Learning Happen in Large Language Models?
446. NeurIPS 2024ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification

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.