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 10 of 13

451. NeurIPS 2025CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs
452. NeurIPS 2025Color Conditional Generation with Sliced Wasserstein Guidance
453. NeurIPS 2025COME: Adding Scene-Centric Forecasting Control to Occupancy World Model
454. NeurIPS 2025Compositional Discrete Latent Code for High Fidelity, Productive Diffusion Models
455. NeurIPS 2025Consistent Story Generation: Unlocking the Potential of Zigzag Sampling
456. NeurIPS 2025Constrained Discrete Diffusion
457. NeurIPS 2025Contact Map Transfer with Conditional Diffusion Model for Generalizable Dexterous Grasp Generation
458. NeurIPS 2025Contextual Thompson Sampling via Generation of Missing Data
459. NeurIPS 2025Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers
460. NeurIPS 2025CoRe: Benchmarking LLMs’ Code Reasoning Capabilities through Static Analysis Tasks
461. NeurIPS 2025CORE: Reducing UI Exposure in Mobile Agents via Collaboration Between Cloud and Local LLMs
462. NeurIPS 2025CoT-lized Diffusion: Let's Reinforce T2I Generation Step-by-step
463. NeurIPS 2025CSGO: Content-Style Composition in Text-to-Image Generation
464. NeurIPS 2025Cue3D: Quantifying the Role of Image Cues in Single-Image 3D Generation
465. NeurIPS 2025CURE: Co-Evolving Coders and Unit Testers via Reinforcement Learning
466. NeurIPS 2025CymbaDiff: Structured Spatial Diffusion for Sketch-based 3D Semantic Urban Scene Generation
467. NeurIPS 2025DeltaFormer: Unlock the state space of Transformer
468. NeurIPS 2025Diffusion Beats Autoregressive in Data-Constrained Settings
469. NeurIPS 2025DINGO: Constrained Inference for Diffusion LLMs
470. NeurIPS 2025Direct Numerical Layout Generation for 3D Indoor Scene Synthesis via Spatial Reasoning
471. NeurIPS 2025Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention
472. NeurIPS 2025Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation
473. NeurIPS 2025Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation
474. NeurIPS 2025Distilling LLM Agent into Small Models with Retrieval and Code Tools
475. NeurIPS 2025DMol: A Highly Efficient and Chemical Motif-Preserving Molecule Generation Platform
476. NeurIPS 2025Document Summarization with Conformal Importance Guarantees
477. NeurIPS 2025DoDo-Code: an Efficient Levenshtein Distance Embedding-based Code for 4-ary IDS Channel
478. NeurIPS 2025DyFlow: Dynamic Workflow Framework for Agentic Reasoning
479. NeurIPS 2025EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code
480. NeurIPS 2025Efficient Pre-Training of LLMs via Topology-Aware Communication Alignment on More Than 9600 GPUs
481. NeurIPS 2025Efficient semantic uncertainty quantification in language models via diversity-steered sampling
482. NeurIPS 2025EnzyControl: Adding Functional and Substrate-Specific Control for Enzyme Backbone Generation
483. NeurIPS 2025ESCA: Contextualizing Embodied Agents via Scene-Graph Generation
484. NeurIPS 2025EVAAA: A Virtual Environment Platform for Essential Variables in Autonomous and Adaptive Agents
485. NeurIPS 2025EVODiff: Entropy-aware Variance Optimized Diffusion Inference
486. NeurIPS 2025Execution Guided Line-by-Line Code Generation
487. NeurIPS 2025FACT: Mitigating Inconsistent Hallucinations in LLMs via Fact-Driven Alternating Code-Text Training
488. NeurIPS 2025Failure by Interference: Language Models Make Balanced Parentheses Errors When Faulty Mechanisms Overshadow Sound Ones
489. NeurIPS 2025FAST: Foreground‑aware Diffusion with Accelerated Sampling Trajectory for Segmentation‑oriented Anomaly Synthesis
490. NeurIPS 2025Feedback Guidance of Diffusion Models
491. NeurIPS 2025FlashMo: Geometric Interpolants and Frequency-Aware Sparsity for Scalable Efficient Motion Generation
492. NeurIPS 2025Flatten Graphs as Sequences: Transformers are Scalable Graph Generators
493. NeurIPS 2025Flexible MOF Generation with Torsion-Aware Flow Matching
494. NeurIPS 2025FlexWorld: Progressively Expanding 3D Scenes for Flexible-View Exploration
495. NeurIPS 2025Force Prompting: Video Generation Models Can Learn And Generalize Physics-based Control Signals
496. NeurIPS 2025Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation
497. NeurIPS 2025Fourier Token Merging: Understanding and Capitalizing Frequency Domain for Efficient Image Generation
498. NeurIPS 2025Free-Lunch Color-Texture Disentanglement for Stylized Image Generation
499. NeurIPS 2025FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens
500. NeurIPS 2025From Programs to Poses: Factored Real-World Scene Generation via Learned Program Libraries

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.