Retrieval-Augmented Generation papers, 2023–2026

Key findings

• Retrieval-Augmented Generation went from 102 papers in 2023 to 549 in 2026, roughly 5.4x in three years.
• NeurIPS publishes the most Retrieval-Augmented Generation work: 391 papers from 2023 to 2026, 33% of the four-venue total.
• The fastest-growing overlap is with AI Agents: papers tagged with both rose from 0 in 2023 to 75 in 2026.
• Among the 5 topics under Natural Language, it ranks #2 by 2026 paper count; the fastest grower in the group, Code Generation, is up 4.1x versus 5.4x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Theory of Time-Sensitive Language Generation: Sparse Hallucination Beats Mode Collapse
• ICML 2026``Someone Hid It!'': Query-Agnostic Black-Box Attacks on LLM-Based Retrieval
• ICLR 2026AdaCache: Adaptive Caching and Context Augmentation for Efficient LLM Serving
• CVPR 2026ADSeeker A Knowledge-Grounded Reasoning Framework for Industry Anomaly Detection and
• NeurIPS 2025AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play
• ICML 2025Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle
• ICLR 2025A Theory for Token-Level Harmonization in Retrieval-Augmented Generation
• CVPR 2025AirRoom: Objects Matter in Room Reidentification
• NeurIPS 2024$\texttt{ConflictBank}$: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs
• ICML 2024A Statistical Framework for Data-dependent Retrieval-Augmented Models
• ICLR 2024BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models
• CVPR 2024Evaluating Transferability in Retrieval Tasks: An Approach Using MMD and Kernel Methods
• NeurIPS 2023A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance
• ICML 2023Everyone's Preference Changes Differently: A Weighted Multi-Interest Model For Retrieval
• ICLR 2023Decompositional Generation Process for Instance-Dependent Partial Label Learning
• CVPR 2023Are Binary Annotations Sufficient? Video Moment Retrieval via Hierarchical Uncertainty-Based Active Learning
• NeurIPS 2026Accelerating Neural Network Training with Augmented Koopman Dynamics
• ICML 2026$\tau$-Knowledge: Evaluating Conversational Agents over Unstructured Knowledge
• ICLR 2026Aria: an Agent for Retrieval and Iterative Auto-Formalization via Dependency Graph
• CVPR 2026Animator-Centric Skeleton Generation on Objects with Fine-Grained Details

All Retrieval-Augmented Generation papers

57 papers, page 1 of 2

1. ICML 2025Algorithms and Hardness for Active Learning on Graphs
2. ICML 2025Approximate Forest Completion and Learning-Augmented Algorithms for Metric Minimum Spanning Trees
3. ICML 2025Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle
4. ICML 2025Attention-Level Speculation
5. ICML 2025AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
6. ICML 2025C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation
7. ICML 2025CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance
8. ICML 2025Contradiction Retrieval via Contrastive Learning with Sparsity
9. ICML 2025Divide and Conquer: Exploring Language-centric Tree Reasoning for Video Question-Answering
10. ICML 2025DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning
11. ICML 2025Efficient Length-Generalizable Attention via Causal Retrieval for Long-Context Language Modeling
12. ICML 2025EgoPrivacy: What Your First-Person Camera Says About You?
13. ICML 2025EPIC: Efficient Position-Independent Caching for Serving Large Language Models
14. ICML 2025Equivariant Neural Tangent Kernels
15. ICML 2025Explaining the role of Intrinsic Dimensionality in Adversarial Training
16. ICML 2025From Complex to Atomic: Enhancing Augmented Generation via Knowledge-Aware Dual Rewriting and Reasoning
17. ICML 2025From RAG to Memory: Non-Parametric Continual Learning for Large Language Models
18. ICML 2025Graph World Model
19. ICML 2025Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification
20. ICML 2025In-Context Denoising with One-Layer Transformers: Connections between Attention and Associative Memory Retrieval
21. ICML 2025L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning
22. ICML 2025LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generation
23. ICML 2025LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs – No Silver Bullet for LC or RAG Routing
24. ICML 2025LAuReL: Learned Augmented Residual Layer
25. ICML 2025Learning multivariate Gaussians with imperfect advice
26. ICML 2025Learning-Augmented Algorithms for MTS with Bandit Access to Multiple Predictors
27. ICML 2025Learning-Augmented Hierarchical Clustering
28. ICML 2025Lego Sketch: A Scalable Memory-augmented Neural Network for Sketching Data Streams
29. ICML 2025Locality Preserving Markovian Transition for Instance Retrieval
30. ICML 2025MOGIC: Metadata-infused Oracle Guidance for Improved Extreme Classification
31. ICML 2025Near-Optimal Consistency-Robustness Trade-Offs for Learning-Augmented Online Knapsack Problems
32. ICML 2025Neural Graph Matching Improves Retrieval Augmented Generation in Molecular Machine Learning
33. ICML 2025On the Power of Learning-Augmented Search Trees
34. ICML 2025On the Query Complexity of Verifier-Assisted Language Generation
35. ICML 2025On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains
36. ICML 2025Pareto-Optimality, Smoothness, and Stochasticity in Learning-Augmented One-Max-Search
37. ICML 2025PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation
38. ICML 2025PoisonedEye: Knowledge Poisoning Attack on Retrieval-Augmented Generation based Large Vision-Language Models
39. ICML 2025POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval
40. ICML 2025Position: Retrieval-augmented systems can be dangerous medical communicators
41. ICML 2025QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval
42. ICML 2025RAGGED: Towards Informed Design of Scalable and Stable RAG Systems
43. ICML 2025RAPID: Long-Context Inference with Retrieval-Augmented Speculative Decoding
44. ICML 2025Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger
45. ICML 2025RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning
46. ICML 2025Retrieval Augmented Time Series Forecasting
47. ICML 2025Retrieval Augmented Zero-Shot Enzyme Generation for Specified Substrate
48. ICML 2025Retrieval-Augmented Language Model for Knowledge-aware Protein Encoding
49. ICML 2025Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG
50. ICML 2025SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models

FAQ

How many Retrieval-Augmented Generation papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

1,200 in total: 102 in 2023, 183 in 2024, 366 in 2025, 549 in 2026.

How many Retrieval-Augmented Generation papers are at NeurIPS 2026?

NeurIPS 2026 has 186 Retrieval-Augmented Generation papers, versus 136 the year before.

How many Retrieval-Augmented Generation papers are at ICLR 2026?

ICLR 2026 has 129 Retrieval-Augmented Generation papers, versus 111 the year before.

How many Retrieval-Augmented Generation papers are at ICML 2026?

ICML 2026 has 126 Retrieval-Augmented Generation papers, versus 57 the year before.

How many Retrieval-Augmented Generation papers are at CVPR 2026?

CVPR 2026 has 108 Retrieval-Augmented Generation papers, versus 62 the year before.

Which conference publishes the most Retrieval-Augmented Generation papers?

NeurIPS, with 391 papers from 2023 to 2026.