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

230 papers, page 4 of 5

151. NeurIPS 2025PoseCrafter: Extreme Pose Estimation with Hybrid Video Synthesis
152. NeurIPS 2025Practical and Effective Code Watermarking for Large Language Models
153. NeurIPS 2025PrefixKV: Adaptive Prefix KV Cache is What Vision Instruction-Following Models Need for Efficient Generation
154. NeurIPS 2025Preventing Shortcuts in Adapter Training via Providing the Shortcuts
155. NeurIPS 2025Program Synthesis via Test-Time Transduction
156. NeurIPS 2025PyraMotion: Attentional Pyramid-Structured Motion Integration for Co-Speech 3D Gesture Synthesis
157. NeurIPS 2025QiMeng-CodeV-R1: Reasoning-Enhanced Verilog Generation
158. NeurIPS 2025QiMeng-MuPa: Mutual-Supervised Learning for Sequential-to-Parallel Code Translation
159. NeurIPS 2025QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code
160. NeurIPS 2025QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation
161. NeurIPS 2025Quantifying Elicitation of Latent Capabilities in Language Models
162. NeurIPS 2025Quartet: Native FP4 Training Can Be Optimal for Large Language Models
163. NeurIPS 2025RAGRouter: Learning to Route Queries to Multiple Retrieval-Augmented Language Models
164. NeurIPS 2025Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion
165. NeurIPS 2025Reasoning Path Compression: Compressing Generation Trajectories for Efficient LLM Reasoning
166. NeurIPS 2025Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning
167. NeurIPS 2025Reliable Decision‑Making via Calibration‑Oriented Retrieval‑Augmented Generation
168. NeurIPS 2025RepLDM: Reprogramming Pretrained Latent Diffusion Models for High-Quality, High-Efficiency, High-Resolution Image Generation
169. NeurIPS 2025Repo2Run: Automated Building Executable Environment for Code Repository at Scale
170. NeurIPS 2025Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think
171. NeurIPS 2025ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code
172. NeurIPS 2025Rethinking Verification for LLM Code Generation: From Generation to Testing
173. NeurIPS 2025Retrieval is Not Enough: Enhancing RAG through Test-Time Critique and Optimization
174. NeurIPS 2025RoomEditor: High-Fidelity Furniture Synthesis with Parameter-Sharing U-Net
175. NeurIPS 2025rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset
176. NeurIPS 2025Safety Pretraining: Toward the Next Generation of Safe AI
177. NeurIPS 2025Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures
178. NeurIPS 2025Scaling Code-Assisted Chain-of-Thoughts and Instructions for Model Reasoning
179. NeurIPS 2025Scaling Diffusion Transformers Efficiently via $\mu$P
180. NeurIPS 2025Scaling Up Parameter Generation: A Recurrent Diffusion Approach
181. NeurIPS 2025SceneDecorator: Towards Scene-Oriented Story Generation with Scene Planning and Scene Consistency
182. NeurIPS 2025SECODEPLT: A Unified Benchmark for Evaluating the Security Risks and Capabilities of Code GenAI
183. NeurIPS 2025SeCon-RAG: A Two-Stage Semantic Filtering and Conflict-Free Framework for Trustworthy RAG
184. NeurIPS 2025Self-Evolving Pseudo-Rehearsal for Catastrophic Forgetting with Task Similarity in LLMs
185. NeurIPS 2025SemCoT: Accelerating Chain-of-Thought Reasoning through Semantically-Aligned Implicit Tokens
186. NeurIPS 2025ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation
187. NeurIPS 2025SimpleStrat: Diversifying Language Model Generation with Stratification
188. NeurIPS 2025SnapMoGen: Human Motion Generation from Expressive Texts
189. NeurIPS 2025Sparse Image Synthesis via Joint Latent and RoI Flow
190. NeurIPS 2025Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation
191. NeurIPS 2025SpecMER: Fast Protein Generation with K-mer Guided Speculative Decoding
192. NeurIPS 2025Spotlight Attention: Towards Efficient LLM Generation via Non-linear Hashing-based KV Cache Retrieval
193. NeurIPS 2025Steering When Necessary: Flexible Steering Large Language Models with Backtracking
194. NeurIPS 2025Struct-Bench: A Benchmark for Differentially Private Structured Text Generation
195. NeurIPS 2025SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning
196. NeurIPS 2025SynBrain: Enhancing Visual-to-fMRI Synthesis via Probabilistic Representation Learning
197. NeurIPS 2025Synthesizing Performance Constraints for Evaluating and Improving Code Efficiency
198. NeurIPS 2025Synthetic Series-Symbol Data Generation for Time Series Foundation Models
199. NeurIPS 2025Table2LaTeX-RL: High-Fidelity LaTeX Code Generation from Table Images via Reinforced Multimodal Language Models
200. NeurIPS 2025TEMPO: Temporal Multi-scale Autoregressive Generation of Protein Conformational Ensembles

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.