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

236 papers, page 3 of 5

101. NeurIPS 2026How LLMs Distinguish Threats from Offers
102. NeurIPS 2026How Much is Left? LLMs Linearly Encode Their Remaining Output Length
103. NeurIPS 2026Hypergraph Generation with Latent Diffusion
104. NeurIPS 2026HyperNSDE: Personalized Neural SDEs for Joint Static—Longitudinal Clinical Data Generation
105. NeurIPS 2026Hypothesis generation and updating in large language models
106. NeurIPS 2026IFDECORATOR: Wrapping Instruction Following Reinforcement Learning with Verifiable Rewards
107. NeurIPS 2026Imagine Before You Draw: Visual Prompt Engineering for Image Generation
108. NeurIPS 2026In-Context Optimization for Retrieval-Augmented Generation: A Gradient-Descent Perspective
109. NeurIPS 2026IndustryCode: A Benchmark for Industry Code Generation
110. NeurIPS 2026Inference-Time Vulnerability Beyond Shallow Safety: Alignment Along Generation Trajectories
111. NeurIPS 2026Information Parity for Code: The Scope of Transfer in Multilingual Code Models
112. NeurIPS 2026Instantiation of Human Values in Image Generation
113. NeurIPS 2026IntegrityBench: Can LLMs Be Trusted as Co-Scientists? A Research Integrity Benchmark
114. NeurIPS 2026Intent Factored Generation: Unleashing the Diversity in Your Language Model
115. NeurIPS 2026Intent2CAD: How Semantic-Parametric Supervision Shapes Text-to-CAD Generation
116. NeurIPS 2026Invisible Ink, Visible Lies: How Production Watermarking Causes LLMs to Hallucinate
117. NeurIPS 2026JEDI: Real-Time Jailbreak Defense for LLMs via In-Generation Detection and Intervention
118. NeurIPS 2026LADDERS: Length-Aware Data Distribution and Existing-Response Speculation for Fast RL Rollout Generation
119. NeurIPS 2026Layout Before Pixels: Topology-Anchored Transcriptome-to-Histology Generation
120. NeurIPS 2026LayoutBridge: Anisotropic Brownian Bridges for Public Indoor Floorplan Generation
121. NeurIPS 2026LEAP: Library-driven Evolutionary Abstraction Paradigm for Large Language Models
122. NeurIPS 2026Learning Cultural Vectors for Cross-Cultural Generation
123. NeurIPS 2026Learning to Persuade Exposes How Easily LLMs Abandon Correct Beliefs
124. NeurIPS 2026LibEvoBench: Probing Temporal Knowledge Stratification in Code Generation Models
125. NeurIPS 2026LiFT: Lifted Inter-slice Feature Trajectories for 3D Image Generation from 2D Generators
126. NeurIPS 2026LLMs Keep Thinking When Told Not To
127. NeurIPS 2026LLMs Optimizing LLMs: Automated MegaKernel Generation for Inference Acceleration
128. NeurIPS 2026LLMs Show No Signs Of Individuated Metacognition
129. NeurIPS 2026LoopNav: Benchmarking Spatial Consistency in World Models
130. NeurIPS 2026LoopWeaver: Weaving Feedback Loops into Hierarchical Generation under Constraints
131. NeurIPS 2026Machine Unlearning in Diffusion LLMs
132. NeurIPS 2026Matchability-Aware Conformal Prediction for Open-Ended Language Model Generation
133. NeurIPS 2026MDMR-Bench: A Multi-Dimensional Benchmark for Multi-Reference Image Generation
134. NeurIPS 2026Measuring Layer-wise Intrinsic Dimensionality of FFNs in LLMs via PCA
135. NeurIPS 2026MedIGen: Reliable Medical Illustration Generation via Interleaved Introspective Reasoning
136. NeurIPS 2026Mesh BDF: Barycentric Dominance Field for 3D Native Mesh Generation
137. NeurIPS 2026MetaLoop: Benchmarking the Full Metacognitive Loop in LLMs
138. NeurIPS 2026MobTA: Bus-Conditioned Zero-Shot Trajectory Generation via Task Arithmetic
139. NeurIPS 2026MoCA: Mixture-of-Components Attention for Scalable Compositional 3D Generation
140. NeurIPS 2026MoCAR: Motion-code Coordinate-aware AutoRegression for Continuous Trajectory Forecasting
141. NeurIPS 2026Motion Forcing: Decoupling Ego and Object Motion via Sparse Inputs for Structured Video Generation
142. NeurIPS 2026N-vium: Mixture-of-Exits Transformer for Accelerated Exact Generation
143. NeurIPS 2026Natural-Language-Guided Protein Generation for Ligand-Binding Design
144. NeurIPS 2026NeuroSynTheos: Learning to accelerate counterexample-guided reactive synthesis modulo theories
145. NeurIPS 2026NIV: Neural Axis Variations for Variable Font Generation
146. NeurIPS 2026Norm Anchors Make Model Edits Last
147. NeurIPS 2026On the Price of Privacy for Language Identification and Generation
148. NeurIPS 2026On-Policy Distillation with Open Property-Equivalence Reward for LLM-Based NL-to-SVA Generation
149. NeurIPS 2026One View Is Enough: In-the-Wild Monocular Pretraining for Novel View Generation
150. NeurIPS 2026OopsWorld! Operation-Grounded Seamless World 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.