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 3 of 7

101. ICLR 2026Reusing Pre-Training Data at Test Time is a Compute Multiplier
102. ICLR 2026Safeguarding Multimodal Knowledge Copyright in the RAG-as-a-Service Environment
103. ICLR 2026Sat3DGen: Comprehensive Street-Level 3D Scene Generation from Single Satellite Image
104. ICLR 2026Search Self-Play: Pushing the Frontier of Agent Capability without Supervision
105. ICLR 2026Seq vs Seq: An Open Suite of Paired Encoders and Decoders
106. ICLR 2026ShapeGen4D: Towards High Quality 4D Shape Generation from Videos
107. ICLR 2026Silent Leaks: Implicit Knowledge Extraction Attack on RAG Systems
108. ICLR 2026SmartChunk Retrieval: Query-Aware Chunk Compression with Planning for Efficient Document RAG
109. ICLR 2026StyliTruth : Unlocking Stylized yet Truthful LLM Generation via Disentangled Steering
110. ICLR 2026SWINGARENA: Adversarial Programming Arena for Long-context GitHub Issue Solving
111. ICLR 2026SynthWorlds: Controlled Parallel Worlds for Disentangling Reasoning and Knowledge in Language Models
112. ICLR 2026Token-Guard: Towards Token-Level Hallucination Control via Self-Checking Decoding
113. ICLR 2026TokMem: Tokenized Procedural Memory for Large Language Models
114. ICLR 2026ToolWeaver: Weaving Collaborative Semantics for Scalable Tool Use in Large Language Models
115. ICLR 2026Topology Matters in RTL Circuit Representation Learning
116. ICLR 2026Topology of Reasoning: Retrieved Cell Complex-Augmented Generation for Textual Graph Question Answering
117. ICLR 2026Topology-Preserved Auto-regressive Mesh Generation in the Manner of Weaving Silk
118. ICLR 2026Toward Faithful Retrieval-Augmented Generation with Sparse Autoencoders
119. ICLR 2026Towards Knowledge‑and‑Data‑Driven Organic Reaction Prediction: RAG‑Enhanced and Reasoning‑Powered Hybrid System with LLMs
120. ICLR 2026U-MARVEL: Unveiling Key Factors for Universal Multimodal Retrieval via Embedding Learning with MLLMs
121. ICLR 2026Uncertainty as Feature Gaps: Epistemic Uncertainty Quantification of LLMs in Contextual Question-Answering
122. ICLR 2026Unified Biomolecular Trajectory Generation via Pretrained Variational Bridge
123. ICLR 2026Unified Multi-Modal Interactive and Reactive 3D Motion Generation via Rectified Flow
124. ICLR 2026Video-As-Prompt: Unified Semantic Control for Video Generation
125. ICLR 2026WebSeer: Training Deeper Search Agents through Reinforcement Learning with Self-Reflection
126. ICLR 2026Welfarist Formulations for Diverse Similarity Search
127. ICLR 2026When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation
128. ICLR 2026Your Language Model Secretly Contains Personality Subnetworks
129. ICLR 2026Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning
130. ICLR 2025A Non-Contrastive Learning Framework for Sequential Recommendation with Preference-Preserving Profile Generation
131. ICLR 2025A Theory for Token-Level Harmonization in Retrieval-Augmented Generation
132. ICLR 2025A Training-Free Sub-quadratic Cost Transformer Model Serving Framework with Hierarchically Pruned Attention
133. ICLR 2025Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection
134. ICLR 2025Agent S: An Open Agentic Framework that Uses Computers Like a Human
135. ICLR 2025APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding
136. ICLR 2025Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers
137. ICLR 2025Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation
138. ICLR 2025BadJudge: Backdoor Vulnerabilities of LLM-As-A-Judge
139. ICLR 2025Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent
140. ICLR 2025Beyond Content Relevance: Evaluating Instruction Following in Retrieval Models
141. ICLR 2025Block-Attention for Efficient Prefilling
142. ICLR 2025Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models
143. ICLR 2025ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities
144. ICLR 2025Chunk-Distilled Language Modeling
145. ICLR 2025CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design
146. ICLR 2025ColPali: Efficient Document Retrieval with Vision Language Models
147. ICLR 2025Contextual Document Embeddings
148. ICLR 2025Contextualizing biological perturbation experiments through language
149. ICLR 2025Controllable Context Sensitivity and the Knob Behind It
150. ICLR 2025CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking

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.