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

250 papers, page 4 of 5

151. ICML 2025Learning multivariate Gaussians with imperfect advice
152. ICML 2025Learning-Augmented Algorithms for MTS with Bandit Access to Multiple Predictors
153. ICML 2025Learning-Augmented Hierarchical Clustering
154. ICML 2025Lego Sketch: A Scalable Memory-augmented Neural Network for Sketching Data Streams
155. ICML 2025Locality Preserving Markovian Transition for Instance Retrieval
156. ICML 2025MOGIC: Metadata-infused Oracle Guidance for Improved Extreme Classification
157. ICML 2025Near-Optimal Consistency-Robustness Trade-Offs for Learning-Augmented Online Knapsack Problems
158. ICML 2025Neural Graph Matching Improves Retrieval Augmented Generation in Molecular Machine Learning
159. ICML 2025On the Power of Learning-Augmented Search Trees
160. ICML 2025On the Query Complexity of Verifier-Assisted Language Generation
161. ICML 2025On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains
162. ICML 2025Pareto-Optimality, Smoothness, and Stochasticity in Learning-Augmented One-Max-Search
163. ICML 2025PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation
164. ICML 2025PoisonedEye: Knowledge Poisoning Attack on Retrieval-Augmented Generation based Large Vision-Language Models
165. ICML 2025POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval
166. ICML 2025Position: Retrieval-augmented systems can be dangerous medical communicators
167. ICML 2025QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval
168. ICML 2025RAGGED: Towards Informed Design of Scalable and Stable RAG Systems
169. ICML 2025RAPID: Long-Context Inference with Retrieval-Augmented Speculative Decoding
170. ICML 2025Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger
171. ICML 2025RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning
172. ICML 2025Retrieval Augmented Time Series Forecasting
173. ICML 2025Retrieval Augmented Zero-Shot Enzyme Generation for Specified Substrate
174. ICML 2025Retrieval-Augmented Language Model for Knowledge-aware Protein Encoding
175. ICML 2025Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG
176. ICML 2025SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models
177. ICML 2025SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval
178. ICML 2025SHE: Streaming-media Hashing Retrieval
179. ICML 2025SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs
180. ICML 2025STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization
181. ICML 2025Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
182. ICML 2025Tool Unlearning for Tool-Augmented LLMs
183. ICML 2025Understanding Synthetic Context Extension via Retrieval Heads
184. ICML 2024A Statistical Framework for Data-dependent Retrieval-Augmented Models
185. ICML 2024Accelerating Iterative Retrieval-augmented Language Model Serving with Speculation
186. ICML 2024ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation
187. ICML 2024Adaptive Stabilization Based on Machine Learning for Column Generation
188. ICML 2024Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning
189. ICML 2024Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation
190. ICML 2024Behavior Generation with Latent Actions
191. ICML 2024Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT
192. ICML 2024BetterV: Controlled Verilog Generation with Discriminative Guidance
193. ICML 2024Bottleneck-Minimal Indexing for Generative Document Retrieval
194. ICML 2024C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models
195. ICML 2024Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
196. ICML 2024Cluster-Aware Similarity Diffusion for Instance Retrieval
197. ICML 2024Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
198. ICML 2024Collaborative Learning with Different Labeling Functions
199. ICML 2024Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval
200. ICML 2024Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes

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.