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

183 papers, page 3 of 4

101. ICML 2024DAG-Based Column Generation for Adversarial Team Games
102. ICML 2024DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton
103. ICML 2024Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering
104. ICML 2024Disentangled 3D Scene Generation with Layout Learning
105. ICML 2024Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality Generation
106. ICML 2024Exponential Spectral Pursuit: An Effective Initialization Method for Sparse Phase Retrieval
107. ICML 2024Extreme Compression of Large Language Models via Additive Quantization
108. ICML 2024Fast Text-to-3D-Aware Face Generation and Manipulation via Direct Cross-modal Mapping and Geometric Regularization
109. ICML 2024InferCept: Efficient Intercept Support for Augmented Large Language Model Inference
110. ICML 2024Instruction Tuning for Secure Code Generation
111. ICML 2024InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining
112. ICML 2024Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation
113. ICML 2024Interpreting Equivariant Representations
114. ICML 2024Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models
115. ICML 2024KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation
116. ICML 2024Language Generation with Strictly Proper Scoring Rules
117. ICML 2024Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
118. ICML 2024Non-clairvoyant Scheduling with Partial Predictions
119. ICML 2024Parsimonious Learning-Augmented Approximations for Dense Instances of $\mathcal{NP}$-hard Problems
120. ICML 2024PinNet: Pinpoint Instructive Information for Retrieval Augmented Code-to-Text Generation
121. ICML 2024Proteus: Exploring Protein Structure Generation for Enhanced Designability and Efficiency
122. ICML 2024Repoformer: Selective Retrieval for Repository-Level Code Completion
123. ICML 2024Retrieval-Augmented Score Distillation for Text-to-3D Generation
124. ICML 2024RoboMP$^2$: A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language Models
125. ICML 2024Robust Learning-Augmented Dictionaries
126. ICML 2024Self-Infilling Code Generation
127. ICML 2024Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation
128. ICML 2024Switchable Decision: Dynamic Neural Generation Networks
129. ICML 2024Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning
130. ICML 2024Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models
131. ICML 2024Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models
132. ICML 2024USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval
133. ICML 2024When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
134. NeurIPS 2024$\texttt{ConflictBank}$: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs
135. NeurIPS 2024A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
136. NeurIPS 2024Ad Auctions for LLMs via Retrieval Augmented Generation
137. NeurIPS 2024AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases
138. NeurIPS 2024Approaching Human-Level Forecasting with Language Models
139. NeurIPS 2024BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack
140. NeurIPS 2024Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models
141. NeurIPS 2024Boosting the Potential of Large Language Models with an Intelligent Information Assistant
142. NeurIPS 2024CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes
143. NeurIPS 2024Chain of Agents: Large Language Models Collaborating on Long-Context Tasks
144. NeurIPS 2024ChatQA: Surpassing GPT-4 on Conversational QA and RAG
145. NeurIPS 2024ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence
146. NeurIPS 2024CRAG - Comprehensive RAG Benchmark
147. NeurIPS 2024Einsum Benchmark: Enabling the Development of Next-Generation Tensor Execution Engines
148. NeurIPS 2024Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework
149. NeurIPS 2024Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following
150. NeurIPS 2024FinBen: A Holistic Financial Benchmark for Large Language 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.