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

2,161 papers, page 15 of 44

701. NeurIPS 2026Exploring Advertising Manipulation in Diffusion Image Generation
702. NeurIPS 2026Extrapolative Weight Averaging Reveals Correctness–Efficiency Frontiers in Code RL
703. NeurIPS 2026Fast 4D Mesh Generation by Spatio-Temporal Attention Chains
704. NeurIPS 2026Feeling of Knowing in Large Language Models
705. NeurIPS 2026FlexCover: Flexible Cover Song Generation via Symbolic Lead Sheet Control
706. NeurIPS 2026FloatDoor: Platform triggered Backdoors in LLMs
707. NeurIPS 2026Focal Reward: Balanced Reinforcement Learning under Rubric-Based Rewards
708. NeurIPS 2026FracTS: Hierarchical and Autoregressive Time Series Generation
709. NeurIPS 2026Frequency‑Aware Flow Matching for Continuous and Consistent Robotic Action Generation
710. NeurIPS 2026From Facts to Personas: Interpretable Role Unlearning in LLMs via Mixture-of-Experts
711. NeurIPS 2026From Generation to Restoration: Residual Diffusion for Neural Channel Decoding
712. NeurIPS 2026From I/O to Code with Discovery Agent
713. NeurIPS 2026From Ideas to Code: Tree-structured Policy Optimization for Automated Algorithm Design with LLMs
714. NeurIPS 2026FrontierOR: Benchmarking LLMs' Capacity for Efficient Algorithm Design in Large-Scale Optimization
715. NeurIPS 2026G-Zero: Self-Play for Open-Ended Generation from Zero Data
716. NeurIPS 2026Generation-Drift-Guided Block Pruning for Large Language Models
717. NeurIPS 2026GPU-Accelerated Synthesis of Mixed-Boolean Arithmetic: Beyond Caching
718. NeurIPS 2026GraphInstruct: A Progressive Benchmark for Diagnosing Capability Gaps in LLM Graph Generation
719. NeurIPS 2026GRINQH: Graded Input-based Quantization Hierarchy for Efficient LLM Generation
720. NeurIPS 2026Guarding the Life Code: Preserving Membership Privacy in Genomic Foundation Models
721. NeurIPS 2026Guided Data Generation for Understanding Model Behavior
722. NeurIPS 2026Hallucination as Commitment Failure: Larger LLMs Misfire Despite Knowing the Answer
723. NeurIPS 2026Hidden Positives: Why Code Retrieval Benchmarks Underestimate Model Quality
724. NeurIPS 2026HierFlow: Hierarchical Coupled Dual-Space Search for Automatic Agentic Workflow Generation
725. NeurIPS 2026How LLMs Distinguish Threats from Offers
726. NeurIPS 2026How Much is Left? LLMs Linearly Encode Their Remaining Output Length
727. NeurIPS 2026Hypergraph Generation with Latent Diffusion
728. NeurIPS 2026HyperNSDE: Personalized Neural SDEs for Joint Static—Longitudinal Clinical Data Generation
729. NeurIPS 2026Hypothesis generation and updating in large language models
730. NeurIPS 2026IFDECORATOR: Wrapping Instruction Following Reinforcement Learning with Verifiable Rewards
731. NeurIPS 2026Imagine Before You Draw: Visual Prompt Engineering for Image Generation
732. NeurIPS 2026In-Context Optimization for Retrieval-Augmented Generation: A Gradient-Descent Perspective
733. NeurIPS 2026IndustryCode: A Benchmark for Industry Code Generation
734. NeurIPS 2026Inference-Time Vulnerability Beyond Shallow Safety: Alignment Along Generation Trajectories
735. NeurIPS 2026Information Parity for Code: The Scope of Transfer in Multilingual Code Models
736. NeurIPS 2026Instantiation of Human Values in Image Generation
737. NeurIPS 2026IntegrityBench: Can LLMs Be Trusted as Co-Scientists? A Research Integrity Benchmark
738. NeurIPS 2026Intent Factored Generation: Unleashing the Diversity in Your Language Model
739. NeurIPS 2026Intent2CAD: How Semantic-Parametric Supervision Shapes Text-to-CAD Generation
740. NeurIPS 2026Invisible Ink, Visible Lies: How Production Watermarking Causes LLMs to Hallucinate
741. NeurIPS 2026JEDI: Real-Time Jailbreak Defense for LLMs via In-Generation Detection and Intervention
742. NeurIPS 2026LADDERS: Length-Aware Data Distribution and Existing-Response Speculation for Fast RL Rollout Generation
743. NeurIPS 2026Layout Before Pixels: Topology-Anchored Transcriptome-to-Histology Generation
744. NeurIPS 2026LayoutBridge: Anisotropic Brownian Bridges for Public Indoor Floorplan Generation
745. NeurIPS 2026LEAP: Library-driven Evolutionary Abstraction Paradigm for Large Language Models
746. NeurIPS 2026Learning Cultural Vectors for Cross-Cultural Generation
747. NeurIPS 2026Learning to Persuade Exposes How Easily LLMs Abandon Correct Beliefs
748. NeurIPS 2026LibEvoBench: Probing Temporal Knowledge Stratification in Code Generation Models
749. NeurIPS 2026LiFT: Lifted Inter-slice Feature Trajectories for 3D Image Generation from 2D Generators
750. NeurIPS 2026LLMs Keep Thinking When Told Not To

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.