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

860 papers, page 14 of 18

651. NeurIPS 2026BrickAnything: Geometry-Conditioned Buildable Brick Generation with Structure-Aware Tokenization
652. NeurIPS 2026Bridging Diffusion and Autoregression for Flexible Time Series Synthesis
653. NeurIPS 2026Can Bits Seal Language?
654. NeurIPS 2026Can LLMs Take Retrieved Information with a Grain of Salt?
655. NeurIPS 2026CASL-VAE: Learning Structured Latent Variables from Unpaired Data for Semi-supervised Clustering and Paired Sample Generation
656. NeurIPS 2026ChronosAlign: A Large-Scale, Updatable Benchmark for Decomposing Temporal Alignment in LLMs
657. NeurIPS 2026CME–SpectrumBench: Can LLMs Analyze Condensed Matter Spectral Data?
658. NeurIPS 2026CodeScaler: Scaling Code LLM Training and Test-Time Inference via Reward Models
659. NeurIPS 2026CogBench: Evaluating Cognitive-Level Control in LLM Question Generation
660. NeurIPS 2026CoilStellaration: A Dataset and Benchmark for Engineering-Aware Stellarator Coilset Generation
661. NeurIPS 2026Conflict-Suppressed RAG: A Simple Decoding-Time Framework for Faithful Retrieval-Augmented Generation
662. NeurIPS 2026ConQuR: Corner Aligned Activation Quantization via Optimized Rotations for LLMs
663. NeurIPS 2026Constrained Goal-directed Planar Graph Generation with Grammar-based Reinforcement Learning
664. NeurIPS 2026Continuous Latent Diffusion Language Model
665. NeurIPS 2026Contrastive Identification and Generation in the Limit
666. NeurIPS 2026Contrastive Thinking Decoding: Steering Answer Generation in Reasoning Models
667. NeurIPS 2026Coreset-Induced Conditional Velocity Flow Matching
668. NeurIPS 2026Corrective Diffusion Language Models
669. NeurIPS 2026Correpondence Alignment For Improved Virtual Try-On
670. NeurIPS 2026Coupling Models for One-Step Discrete Generation
671. NeurIPS 2026CRISP: Fixing Flying Pixels in Latent LiDAR Generation via Diffusion Decoding
672. NeurIPS 2026CryptanalysisBench: Can LLMs do cryptanalysis?
673. NeurIPS 2026Curriculum proof repair with learned counterexamples
674. NeurIPS 2026CyCLeGen: Cycle-Consistent Layout Prediction and Image Generation
675. NeurIPS 2026Debiased Counterfactual Generation via Flow Matching from Observations
676. NeurIPS 2026DeepfakeGenome: Toward Next-Generation Deepfake Attribution
677. NeurIPS 2026Dependency-Guided Parallel Decoding in Discrete Diffusion Language Models
678. NeurIPS 2026DialectLLM: A Dialect-Aware Dialog[ue] Generation Framework Beyond Standard American English
679. NeurIPS 2026Differentiable Retrieval-Augmented Generation for Predicting Cellular Responses to Gene Perturbation
680. NeurIPS 2026Diffusion Language Models Can Approximate Optimal Infilling Lengths Implicitly
681. NeurIPS 2026DiPhon: Diffusion on Graphons for Scalable Graph Generation
682. NeurIPS 2026DiReCL: Learning Differentiable Reward Code with Inverse Reinforcement Learning
683. NeurIPS 2026DIS-Bench: Evaluating LLMs on System Testing via Directed Input Synthesis
684. NeurIPS 2026Discrete Stochastic Localization for Non-autoregressive Generation
685. NeurIPS 2026Disentangling Dual Image References in Frequency Aware Diffusion Models for Personalized Generation
686. NeurIPS 2026Does Your Large Language Model Have An Intuitive Sense of The Difficulty of A Question?
687. NeurIPS 2026Doomed to Re-Annotate, Forever: The ImageNet Story
688. NeurIPS 2026dRAE: Representation Autoencoder with Hyper-Spherical Codes
689. NeurIPS 2026DriftWeight: Repulsive Drift in Mean-Flow Space for Neural Network Weight Generation
690. NeurIPS 2026DRTriton: Large-Scale Synthetic Data Driven Reinforcement Learning for Triton Kernel Generation
691. NeurIPS 2026Duality Models: An Embarrassingly Simple One-step Generation Paradigm
692. NeurIPS 2026Dynamic Video Generation: Shaping Video Generation Across Time and Space
693. NeurIPS 2026EditFlowSR: Revisable Expression Generation for Symbolic Regression
694. NeurIPS 2026ELSA3D: Elastic Semantic Anchoring for Unified 3D Understanding and Generation
695. NeurIPS 2026Empirical regularities in subjective decision-making by LLMs
696. NeurIPS 2026Enhancing Agentic Code Localization with Traceability Recovered from Repository Evolution
697. NeurIPS 2026Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization
698. NeurIPS 2026Evaluating Whether LLMs Can Reliably Connect the DOTs?
699. NeurIPS 2026EvoOptiGraph: Weakness-Driven Coevolution via Graph-Based Structural Generation for Optimization Modeling
700. NeurIPS 2026Exact Regular-Constrained Sampling for Variable-Order Markov Generation

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.