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 13 of 44

601. ICML 2026Stable Asynchrony: Variance-Controlled Off-Policy RL for LLMs
602. ICML 2026STABLE: Simulation-Ready Tabletop Layout Generation via a Semantics–Physics Dual System
603. ICML 2026SWE-Compass: Towards Unified Evaluation of Agentic Coding Abilities for Large Language Models
604. ICML 2026SWE-Perf: Can Language Models Optimize Code Performance on Real-World Repositories?
605. ICML 2026Synthesizable Molecular Generation via Soft-constrained GFlowNets with Rich Chemical Priors
606. ICML 2026Synthesizing Multimodal Geometry Datasets from Scratch and Enabling Visual Alignment via Plotting Code
607. ICML 2026TestExplora: Benchmarking LLMs for Proactive Bug Discovery via Repository-Level Test Generation
608. ICML 2026The Hidden Cost of Structured Generation in LLMs: Draft-Conditioned Constrained Decoding
609. ICML 2026The Invisible Lottery: How Subtle Cues Steer Algorithm Choice in LLM Code Generation
610. ICML 2026The Latent Color Subspace: Emergent Order in High-Dimensional Chaos
611. ICML 2026Threat2Traffic: Multi-Agent Environment Synthesis for Malware Traffic Generation from Threat Intelligence
612. ICML 2026Towards Functional Correctness of Large Code Models with Selective Generation
613. ICML 2026Towards High-Fidelity CAD Generation via LLM-Driven Program Generation and Text-Based B-Rep Primitive Grounding
614. ICML 2026TritonGym: A Benchmark for Agentic LLM Workflows in Triton GPU Code Generation
615. ICML 2026TWLA: Achieving Ternary Weights and Low-Bit Activations for LLMs via Post-Training Quantization
616. ICML 2026UniCode: Augmenting Evaluation for Code Reasoning
617. ICML 2026UniRTL: Unifying Code and Graph for Robust RTL Representation Learning
618. ICML 2026Variational Bayesian Flow Network for Graph Generation
619. ICML 2026VCG-Bench: Towards A Unified Visual-Centric Benchmark for Structured Generation and Editing
620. ICML 2026VeriSimpl: Robust Optimization Modeling from Natural Language using Simplification-based Verification
621. ICML 2026WeightCLIP: Aligning Datasets and Models for Weight Space Learning
622. ICML 2026Weights to Code: Extracting Interpretable Algorithms from the Discrete Transformer
623. ICML 2026Winformer: Transcending Pairwise Similarity for Time-series Generation
624. ICML 2026With Argus Eyes: Assessing Retrieval Gaps via Uncertainty Scoring to Detect and Remedy Retrieval Blind Spots
625. NeurIPS 2026$\texttt{RNAGenScape}$: property-guided, optimized generation of mRNA sequences with manifold Langevin dynamics
626. NeurIPS 2026$SE(2)$-Aware Conditional Distribution Transport for Vehicle Trajectory Generation
627. NeurIPS 20263DCodeBench: Benchmarking Agentic Procedural 3D Modeling Via Code
628. NeurIPS 2026A Closer Look at Dynamic Scene Graph Generation in the Era of Multimodal Large Language Models
629. NeurIPS 2026A Stratified Multi-Rater Evaluation of LLM-Based Virtual Standardized Patients with a Deployed Data-Generation Platform
630. NeurIPS 2026A Theoretical Analysis of Test-Driven Code Generation
631. NeurIPS 2026A Theory of Time-Sensitive Language Generation: Sparse Hallucination Beats Mode Collapse
632. NeurIPS 2026AbSpecAlign: Specificity Reward Alignment for Antigen-Conditioned Antibody Generation
633. NeurIPS 2026AccelEval: A Whole-Program Benchmark for LLM-Generated CPU-to-GPU Code Acceleration
634. NeurIPS 2026AdaPCLA: Curriculum Prior Internalization For Long-Tailed Longitudinal EHR Generation
635. NeurIPS 2026AnalogToBi: Device-Level Analog Circuit Topology Generation via Bipartite Graph and Grammar Guided Decoding
636. NeurIPS 2026Anchoring LLM-based Chest X-ray Report Generation via Diffusion Language Planning
637. NeurIPS 2026Animation2Code: Evaluating Temporal Visual Reasoning in Video-to-Code Generation
638. NeurIPS 2026Answering At Any Cost: Frontier LLMs Are Consequence-Insensitive
639. NeurIPS 2026Antibody Generation via Redistributed Latent Diffusion
640. NeurIPS 2026APM: Evaluating Style Personalization in LLMs with Arbitrary Preference Mappings
641. NeurIPS 2026Articraft: An Agentic System for Scalable Articulated 3D Asset Generation
642. NeurIPS 2026Ask-E: An Environment for Calibrated Question Generation
643. NeurIPS 2026Assessing Sample Quality in Conditional Generation under Compositional Shift
644. NeurIPS 2026Benchmarking and Optimizing Multimodal Structured Generation: The OracleGraph Dataset and PRISM Framework
645. NeurIPS 2026Benchmarking Risk Attitudes of LLMs
646. NeurIPS 2026Beyond Empirical Support: Structured Outlier Generation via Sinkhorn Optimal Transport
647. NeurIPS 2026Beyond Flat Walks: Compositional Abstraction for Autoregressive Graph Generation
648. NeurIPS 2026Beyond Generation: Unlocking Discriminative Representations from Diffusion Models
649. NeurIPS 2026Beyond the Dirac Delta: Mitigating Diversity Collapse in Reinforcement Fine-Tuning for Image Generation
650. NeurIPS 2026Breaking the Quality–Privacy Tradeoff in Tabular Data Generation via In-Context Learning

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.