Code Generation papers, 2023–2026
Program synthesis and code LLMs
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 2,161 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 29 | 55 | 31 | 95 | 210 |
| 2024 | 135 | 66 | 111 | 134 | 446 |
| 2025 | 230 | 164 | 79 | 172 | 645 |
| 2026 | 236 | 241 | 174 | 209 | 860 |
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 30 of 44
- NeurIPS 2025Safety Pretraining: Toward the Next Generation of Safe AI
- NeurIPS 2025Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures
- NeurIPS 2025Scaling Code-Assisted Chain-of-Thoughts and Instructions for Model Reasoning
- NeurIPS 2025Scaling Diffusion Transformers Efficiently via $\mu$P
- NeurIPS 2025Scaling Up Parameter Generation: A Recurrent Diffusion Approach
- NeurIPS 2025SceneDecorator: Towards Scene-Oriented Story Generation with Scene Planning and Scene Consistency
- NeurIPS 2025SECODEPLT: A Unified Benchmark for Evaluating the Security Risks and Capabilities of Code GenAI
- NeurIPS 2025SeCon-RAG: A Two-Stage Semantic Filtering and Conflict-Free Framework for Trustworthy RAG
- NeurIPS 2025Self-Evolving Pseudo-Rehearsal for Catastrophic Forgetting with Task Similarity in LLMs
- NeurIPS 2025SemCoT: Accelerating Chain-of-Thought Reasoning through Semantically-Aligned Implicit Tokens
- NeurIPS 2025ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation
- NeurIPS 2025SimpleStrat: Diversifying Language Model Generation with Stratification
- NeurIPS 2025SnapMoGen: Human Motion Generation from Expressive Texts
- NeurIPS 2025Sparse Image Synthesis via Joint Latent and RoI Flow
- NeurIPS 2025Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation
- NeurIPS 2025SpecMER: Fast Protein Generation with K-mer Guided Speculative Decoding
- NeurIPS 2025Spotlight Attention: Towards Efficient LLM Generation via Non-linear Hashing-based KV Cache Retrieval
- NeurIPS 2025Steering When Necessary: Flexible Steering Large Language Models with Backtracking
- NeurIPS 2025Struct-Bench: A Benchmark for Differentially Private Structured Text Generation
- NeurIPS 2025SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning
- NeurIPS 2025SynBrain: Enhancing Visual-to-fMRI Synthesis via Probabilistic Representation Learning
- NeurIPS 2025Synthesizing Performance Constraints for Evaluating and Improving Code Efficiency
- NeurIPS 2025Synthetic Series-Symbol Data Generation for Time Series Foundation Models
- NeurIPS 2025Table2LaTeX-RL: High-Fidelity LaTeX Code Generation from Table Images via Reinforced Multimodal Language Models
- NeurIPS 2025TEMPO: Temporal Multi-scale Autoregressive Generation of Protein Conformational Ensembles
- NeurIPS 2025Text-to-Code Generation for Modular Building Layouts in Building Information Modeling
- NeurIPS 2025The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements
- NeurIPS 2025The Curse of Depth in Large Language Models
- NeurIPS 2025Top-H Decoding: Adapting the Creativity and Coherence with Bounded Entropy in Text Generation
- NeurIPS 2025Tortoise and Hare Guidance: Accelerating Diffusion Model Inference with Multirate Integration
- NeurIPS 2025Towards A Generalist Code Embedding Model Based On Massive Data Synthesis
- NeurIPS 2025Towards Better & Faster Autoregressive Image Generation: From the Perspective of Entropy
- NeurIPS 2025Towards Reliable Code-as-Policies: A Neuro-Symbolic Framework for Embodied Task Planning
- NeurIPS 2025Track, Inpaint, Resplat: Subject-driven 3D and 4D Generation with Progressive Texture Infilling
- NeurIPS 2025Training Language Models to Generate Quality Code with Program Analysis Feedback
- NeurIPS 2025Training-Free Constrained Generation With Stable Diffusion Models
- NeurIPS 2025Transforming Generic Coder LLMs to Effective Binary Code Embedding Models for Similarity Detection
- NeurIPS 2025TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning
- NeurIPS 2025Understanding and Mitigating Numerical Sources of Nondeterminism in LLM Inference
- NeurIPS 2025Understanding LLM Behaviors via Compression: Data Generation, Knowledge Acquisition and Scaling Laws
- NeurIPS 2025UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens
- NeurIPS 2025Unified all-atom molecule generation with neural fields
- NeurIPS 2025Unlocking SLM Potential for Data Analysis Code Generation via Non-Parametric Knowledge Distillation
- NeurIPS 2025Vector Quantization in the Brain: Grid-like Codes in World Models
- NeurIPS 2025VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code
- NeurIPS 2025VeriThoughts: Enabling Automated Verilog Code Generation using Reasoning and Formal Verification
- NeurIPS 2025VETA-DiT: Variance-Equalized and Temporally Adaptive Quantization for Efficient 4-bit Diffusion Transformers
- NeurIPS 2025Vgent: Graph-based Retrieval-Reasoning-Augmented Generation For Long Video Understanding
- NeurIPS 2025vHector and HeisenVec: Scalable Vector Graphics Generation Through Large Language Models
- NeurIPS 2025VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Ask about this trend from Claude or Cursor
Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.
Copy this prompt into your assistant
Use paperlist to show how Code Generation papers grew at NeurIPS from 2023 to 2026, and which year jumped the most.
Tool the assistant calls: get_topic_stats {"topic": "code-generation"}
Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)
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.