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

391 papers, page 3 of 8

101. NeurIPS 2026Machine Learning-Driven RAG System Design
102. NeurIPS 2026ManipulationRAG: Retrieval-Augmented Fine-Grained Manipulation of Object Functional Parts
103. NeurIPS 2026Matchability-Aware Conformal Prediction for Open-Ended Language Model Generation
104. NeurIPS 2026MemArena: An Ego-Centric Benchmark for On-Device Agentic Personal Memory Assistants at Scale
105. NeurIPS 2026MemContract: Contract-Sensitive Evaluation for Mutable Agent Memory
106. NeurIPS 2026Memory flows: geometry and dynamics of sequential retrieval in input-driven Hopfield networks
107. NeurIPS 2026Memory Retrieval for Changing Preferences
108. NeurIPS 2026MemTailor: Hierarchical Memory-Augmented Multi-Expert Learning for Long-Tailed Recognition
109. NeurIPS 2026MiniPIC: Flexible Position-Independent Caching in <100LOC
110. NeurIPS 2026Mixture of Attribute-Aware Attention Experts for Fine-grained E-Commerce Composed Image Retrieval
111. NeurIPS 2026MLAIRE: Multilingual Language-Aware Information Retrieval Evaluation Protocol
112. NeurIPS 2026MMGraph-Agent: Agentic Multimodal RAG via Cache-Inspired Multimodal Knowledge HyperGraphs
113. NeurIPS 2026MoRe-DVC: Motion Retrieval-Augmented Generation for Detailed Video Captioning
114. NeurIPS 2026Not All Gap Correction Helps: A Geometric View of External Information in LLM Inference
115. NeurIPS 2026OfficeInstruct: A Dataset for Tool-Augmented Office Agents on Long-Trajectory Generative Tasks
116. NeurIPS 2026OmniMem: Scalable and Adaptive Memory Retrieval for Long Video Generation
117. NeurIPS 2026OmniMemBench: Towards Scalable Evaluation of Long-Term Omni-Modal Agent Memory
118. NeurIPS 2026On objective mismatch in molecular retrieval from tandem mass spectrometry
119. NeurIPS 2026On the Price of Privacy for Language Identification and Generation
120. NeurIPS 2026On-Policy Distillation with Open Property-Equivalence Reward for LLM-Based NL-to-SVA Generation
121. NeurIPS 2026One View Is Enough: In-the-Wild Monocular Pretraining for Novel View Generation
122. NeurIPS 2026OpticalRAG: Pixel-Space Compression for Token-Efficient Retrieval-Augmented Generation
123. NeurIPS 2026Optimal Real-Data Allocation for Synthetic-Data-Augmented Inference
124. NeurIPS 2026Overthinking as a Symptom of Knowledge Conflict: Understanding and Detecting LLM's Hallucinations in Retrieval-Augmented Question Answering
125. NeurIPS 2026PACO: Partial-order-Augmented Continuous Optimization for Differentiable Causal Discovery
126. NeurIPS 2026Pandora's AI Model Routing Box: Efficient Allocation with Costly Value Estimation
127. NeurIPS 2026PatternBloom: Empowering Agentic RAG with Externalized RL-Distilled Graph Patterns
128. NeurIPS 2026PermaVid: Consistent Video Generation Across Edits via Disentangled Context Memory
129. NeurIPS 2026Phase-wise MLLM Tuning for Multi-framework WebUI Code Generation
130. NeurIPS 2026Position: Reconciling Open Access with Owner Control in AI Model Distribution Deserves More Research Effort
131. NeurIPS 2026Prediction-Augmented Trees for Reliable Statistical Inference
132. NeurIPS 2026Privacy-Preserving Retrieval-Augmented Generation with Plausible Deniability
133. NeurIPS 2026Process-conditioned Pretraining with Topographic Spatial Retrieval for Large EEG Models
134. NeurIPS 2026ProSearch: Benchmarking Multi-Constraint Protocol Retrieval in Experimental Science
135. NeurIPS 2026RAG in a Trenchcoat: When Minimal Memory Is Enough for Agentic Systems, and When It Isn’t
136. NeurIPS 2026RAGBoost: Robust Tabular Learning via Retrieval-Augmented and Ancillary-Guided Gradient Boosting
137. NeurIPS 2026RAVEL: Rare Concept Generation and Editing via Graph-driven Relational Guidance
138. NeurIPS 2026ReCon: Toward Balanced Learning under Inter-Context and Context-Memory Conflicts
139. NeurIPS 2026REFLEX: RNA Ensemble Generation via Flexibility-Calibrated Stochastic Bridge
140. NeurIPS 2026Remember with Confidence: Uncertainty Quantification for Spatio-temporal Memory with Probabilistic Guarantees
141. NeurIPS 2026Retrieval-Augmented Diffusion Modeling for Stochastic Discount Factor Portfolios
142. NeurIPS 2026Retrieval-Centric Deep Learning in Growing Nonparametric Neural Networks
143. NeurIPS 2026Retrieve What’s Missing: Coverage-Maximizing Retrieval for Consistent Long Video Generation
144. NeurIPS 2026Retriever-Free Retrieval-Augmented Reasoning via Corpus-Traversing MCTS
145. NeurIPS 2026REVERSE: Reinforcing Evidence Verification and Search for Agentic Image Geolocation
146. NeurIPS 2026RIVET: Regex-to-Indexable Keys via Neural Translation for Interactive LIMIT-k Retrieval
147. NeurIPS 2026RSRCC: A Remote Sensing Regional Change Comprehension Benchmark Constructed via Retrieval-Augmented Best-of-𝑁 Ranking
148. NeurIPS 2026RTCBench: Evaluating Tool Use of Large Language Models Beyond Oracle Access
149. NeurIPS 2026RTEB: An Overfitting-Resistant Benchmark for Embedding Model Evaluation
150. NeurIPS 2026SAFTAC: Simulation-Augmented Fine-Tuning of Open-Source LLMs for Analog Circuit Design

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.