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

645 papers, page 12 of 13

551. NeurIPS 2025NFIG: Multi-Scale Autoregressive Image Generation via Frequency Ordering
552. NeurIPS 2025OmniGen-AR: AutoRegressive Any-to-Image Generation
553. NeurIPS 2025OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions
554. NeurIPS 2025OmniSVG: A Unified Scalable Vector Graphics Generation Model
555. NeurIPS 2025OmniTry: Virtual Try-On Anything without Masks
556. NeurIPS 2025On the Entropy Calibration of Language Models
557. NeurIPS 2025On Union-Closedness of Language Generation
558. NeurIPS 2025OptiScene: LLM-driven Indoor Scene Layout Generation via Scaled Human-aligned Data Synthesis and Multi-Stage Preference Optimization
559. NeurIPS 2025ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation
560. NeurIPS 2025PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers
561. NeurIPS 2025PartNeXt: A Next-Generation Dataset for Fine-Grained and Hierarchical 3D Part Understanding
562. NeurIPS 2025Personalized Visual Content Generation in Conversational Systems
563. NeurIPS 2025PF∆: A Benchmark Dataset for Power Flow under Load, Generation, and Topology Variations
564. NeurIPS 2025PhysX-3D: Physical-Grounded 3D Asset Generation
565. NeurIPS 2025PoE-World: Compositional World Modeling with Products of Programmatic Experts
566. NeurIPS 2025PoseCrafter: Extreme Pose Estimation with Hybrid Video Synthesis
567. NeurIPS 2025Practical and Effective Code Watermarking for Large Language Models
568. NeurIPS 2025PrefixKV: Adaptive Prefix KV Cache is What Vision Instruction-Following Models Need for Efficient Generation
569. NeurIPS 2025Preventing Shortcuts in Adapter Training via Providing the Shortcuts
570. NeurIPS 2025Program Synthesis via Test-Time Transduction
571. NeurIPS 2025PyraMotion: Attentional Pyramid-Structured Motion Integration for Co-Speech 3D Gesture Synthesis
572. NeurIPS 2025QiMeng-CodeV-R1: Reasoning-Enhanced Verilog Generation
573. NeurIPS 2025QiMeng-MuPa: Mutual-Supervised Learning for Sequential-to-Parallel Code Translation
574. NeurIPS 2025QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code
575. NeurIPS 2025QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation
576. NeurIPS 2025Quantifying Elicitation of Latent Capabilities in Language Models
577. NeurIPS 2025Quartet: Native FP4 Training Can Be Optimal for Large Language Models
578. NeurIPS 2025RAGRouter: Learning to Route Queries to Multiple Retrieval-Augmented Language Models
579. NeurIPS 2025Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion
580. NeurIPS 2025Reasoning Path Compression: Compressing Generation Trajectories for Efficient LLM Reasoning
581. NeurIPS 2025Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning
582. NeurIPS 2025Reliable Decision‑Making via Calibration‑Oriented Retrieval‑Augmented Generation
583. NeurIPS 2025RepLDM: Reprogramming Pretrained Latent Diffusion Models for High-Quality, High-Efficiency, High-Resolution Image Generation
584. NeurIPS 2025Repo2Run: Automated Building Executable Environment for Code Repository at Scale
585. NeurIPS 2025Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think
586. NeurIPS 2025ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code
587. NeurIPS 2025Rethinking Verification for LLM Code Generation: From Generation to Testing
588. NeurIPS 2025Retrieval is Not Enough: Enhancing RAG through Test-Time Critique and Optimization
589. NeurIPS 2025RoomEditor: High-Fidelity Furniture Synthesis with Parameter-Sharing U-Net
590. NeurIPS 2025rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset
591. NeurIPS 2025Safety Pretraining: Toward the Next Generation of Safe AI
592. NeurIPS 2025Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures
593. NeurIPS 2025Scaling Code-Assisted Chain-of-Thoughts and Instructions for Model Reasoning
594. NeurIPS 2025Scaling Diffusion Transformers Efficiently via $\mu$P
595. NeurIPS 2025Scaling Up Parameter Generation: A Recurrent Diffusion Approach
596. NeurIPS 2025SceneDecorator: Towards Scene-Oriented Story Generation with Scene Planning and Scene Consistency
597. NeurIPS 2025SECODEPLT: A Unified Benchmark for Evaluating the Security Risks and Capabilities of Code GenAI
598. NeurIPS 2025SeCon-RAG: A Two-Stage Semantic Filtering and Conflict-Free Framework for Trustworthy RAG
599. NeurIPS 2025Self-Evolving Pseudo-Rehearsal for Catastrophic Forgetting with Task Similarity in LLMs
600. NeurIPS 2025SemCoT: Accelerating Chain-of-Thought Reasoning through Semantically-Aligned Implicit Tokens

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.