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

186 papers, page 4 of 4

151. NeurIPS 2026SAGE: Semantic Ambiguity Guided Capacity Expansion for Retrieval-Augmented Generation
152. NeurIPS 2026SciHazard: A Benchmark for Measuring Scientific Safety Risks with Decomposed Harm Scoring
153. NeurIPS 2026Search-Augmented Masked Diffusion Models for Constrained Generation
154. NeurIPS 2026SEISMOS: A Statistical Signal Detection Framework for Semantic Chunking
155. NeurIPS 2026ShiftRAG: Bypassing the Textual Bottleneck via Decoupled Learning and Continuous Soft Tokens
156. NeurIPS 2026SiliciclasticReservoirs: A Million-Reservoir Dataset and Flow-Matching Foundation Model for 3D Siliciclastic Reservoir Generation
157. NeurIPS 2026SILSA: Sliding-Window Slice Latents for Topology-Preserving High-Resolution 3D Generation
158. NeurIPS 2026Sinkhorn Based Associative Memory Retrieval Using Spherical Hellinger Kantorovich Dynamics
159. NeurIPS 2026SkillCIR: Intent-Guided Skill Composition for Training-Free Composed Image Retrieval
160. NeurIPS 2026Source-Causal Control of Historical Context in Longitudinal Radiology Report Generation
161. NeurIPS 2026SpecHop: Continuous Speculation for Accelerating Multi-Hop Retrieval Agents
162. NeurIPS 2026SPEXT: A Decoupled Multi-Spectral Foundation Model for Earth Observation and Vision-Language Grounding
163. NeurIPS 2026Spherical Boltzmann machines: a solvable theory of learning and generation in energy-based models
164. NeurIPS 2026SteerCast: Retrieval-Based Latent Steering for Decoder-Only Time Series Forecasting
165. NeurIPS 2026The Future of Facts: Tracing the Factual Generation-Verification Gap
166. NeurIPS 2026The Key to Going Linear: Analysis-Driven Transformer Linearization
167. NeurIPS 2026The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation
168. NeurIPS 2026The Sharp Directions Are Against You: Curvature Analysis of Activation Steering
169. NeurIPS 2026The Text Uncanny Valley: Non-Monotonic Performance Degradation in LLM Information Retrieval
170. NeurIPS 2026TIGER-FG: Text-Guided Implicit Fine-Grained Grounding for E-commerce Retrieval
171. NeurIPS 2026TKCAM: Text and Keyframe to Camera Trajectory Generation
172. NeurIPS 2026TopoGraphRAG-Bench: Evaluating Multimodal GraphRAG on Layout-Grounded Evidence Reasoning
173. NeurIPS 2026Towards Explainable Industrial Anomaly Detection via Knowledge-Guided Latent Reasoning
174. NeurIPS 2026Towards Generalizable Partially Relevant Video Retrieval
175. NeurIPS 2026Train-free Data Poisoning Attack against Retrieval-augmented Diffusion Models
176. NeurIPS 2026TRIDENT: Post-Selection Evidence Accountability for Token-Efficient RAG
177. NeurIPS 2026TRIM: A Theory of Retrieval with Incremental Memory -- Defect, Benefit, and Critical Horizon
178. NeurIPS 2026Understanding Private Evolution as Learning-Augmented Clustering
179. NeurIPS 2026VecDBLens: A Modular Framework for Diagnosing Vector Databases Retrieval Pipelines
180. NeurIPS 2026VeriContest: A Competitive-Programming Benchmark for Verifiable Code Generation
181. NeurIPS 2026VideoMDM: Towards 3D Human Motion Generation From 2D Supervision
182. NeurIPS 2026WebNavigator: Global Web Navigation via Interaction Graph Retrieval
183. NeurIPS 2026When Does Graph Retrieval Become Answer-Supporting Evidence? A Diagnostic Audit of GraphRAG
184. NeurIPS 2026When Poison Meets Structure: Topology-based Defense against Poisoning Attack on Graph-based Retrieval-Augmented Generation
185. NeurIPS 2026Where Root Cause Analysis Fails: A Retrieval-Reranking Decomposition
186. NeurIPS 2026WorldMemArena: Evaluating Multimodal Agent Memory Through Action–World Interaction

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.