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

303 papers, page 4 of 7

151. ICLR 2025DataGen: Unified Synthetic Dataset Generation via Large Language Models
152. ICLR 2025Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs
153. ICLR 2025DRoC: Elevating Large Language Models for Complex Vehicle Routing via Decomposed Retrieval of Constraints
154. ICLR 2025DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads
155. ICLR 2025Eliminating Position Bias of Language Models: A Mechanistic Approach
156. ICLR 2025Episodic Memories Generation and Evaluation Benchmark for Large Language Models
157. ICLR 2025ESE: Espresso Sentence Embeddings
158. ICLR 2025FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"
159. ICLR 2025Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems
160. ICLR 2025From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data
161. ICLR 2025GALA: Geometry-Aware Local Adaptive Grids for Detailed 3D Generation
162. ICLR 2025Generative Representational Instruction Tuning
163. ICLR 2025GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation
164. ICLR 2025HELMET: How to Evaluate Long-context Models Effectively and Thoroughly
165. ICLR 2025Herald: A Natural Language Annotated Lean 4 Dataset
166. ICLR 2025Holistic Reasoning with Long-Context LMs: A Benchmark for Database Operations on Massive Textual Data
167. ICLR 2025Human-inspired Episodic Memory for Infinite Context LLMs
168. ICLR 2025HyperPLR: Hypergraph Generation through Projection, Learning, and Reconstruction
169. ICLR 2025Improving Uncertainty Estimation through Semantically Diverse Language Generation
170. ICLR 2025Inference Scaling for Long-Context Retrieval Augmented Generation
171. ICLR 2025InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
172. ICLR 2025Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence
173. ICLR 2025KBLaM: Knowledge Base augmented Language Model
174. ICLR 2025KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA
175. ICLR 2025LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning
176. ICLR 2025Learn-by-interact: A Data-Centric Framework For Self-Adaptive Agents in Realistic Environments
177. ICLR 2025Learning-Augmented Frequent Directions
178. ICLR 2025Logical Consistency of Large Language Models in Fact-Checking
179. ICLR 2025Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG
180. ICLR 2025LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory
181. ICLR 2025Look Before You Leap: Universal Emergent Mechanism for Retrieval in Language Models
182. ICLR 2025MADGEN: Mass-Spec attends to De Novo Molecular generation
183. ICLR 2025MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
184. ICLR 2025MagicPIG: LSH Sampling for Efficient LLM Generation
185. ICLR 2025MAI: A Multi-turn Aggregation-Iteration Model for Composed Image Retrieval
186. ICLR 2025Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse
187. ICLR 2025MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
188. ICLR 2025MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers
189. ICLR 2025MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models
190. ICLR 2025MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models
191. ICLR 2025Multi-Field Adaptive Retrieval
192. ICLR 2025NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval
193. ICLR 2025NutriBench: A Dataset for Evaluating Large Language Models in Nutrition Estimation from Meal Descriptions
194. ICLR 2025OmniSep: Unified Omni-Modality Sound Separation with Query-Mixup
195. ICLR 2025Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents
196. ICLR 2025Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
197. ICLR 2025PICASO: Permutation-Invariant Context Composition with State Space Models
198. ICLR 2025Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models
199. ICLR 2025Provence: efficient and robust context pruning for retrieval-augmented generation
200. ICLR 2025Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks

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.