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

366 papers, page 6 of 8

251. NeurIPS 2025CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive Programming
252. NeurIPS 2025Cross City Traffic Flow Generation via Retrieval Augmented Diffusion Model
253. NeurIPS 2025DeepDiver: Adaptive Web-Search Intensity Scaling via Reinforcement Learning
254. NeurIPS 2025Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs
255. NeurIPS 2025Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking
256. NeurIPS 2025Discovering Data Structures: Nearest Neighbor Search and Beyond
257. NeurIPS 2025Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection
258. NeurIPS 2025Dynamic Masking and Auxiliary Hash Learning for Enhanced Cross-Modal Retrieval
259. NeurIPS 2025DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation
260. NeurIPS 2025EAG3R: Event-Augmented 3D Geometry Estimation for Dynamic and Extreme-Lighting Scenes
261. NeurIPS 2025EAReranker: Efficient Embedding Adequacy Assessment for Retrieval Augmented Generation
262. NeurIPS 2025Efficiently Maintaining the Multilingual Capacity of MCLIP in Downstream Cross-Modal Retrieval Tasks
263. NeurIPS 2025EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval
264. NeurIPS 2025EnzyControl: Adding Functional and Substrate-Specific Control for Enzyme Backbone Generation
265. NeurIPS 2025Fast Inference for Augmented Large Language Models
266. NeurIPS 2025FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents
267. NeurIPS 2025From Play to Replay: Composed Video Retrieval for Temporally Fine-Grained Videos
268. NeurIPS 2025Generalized Contrastive Learning for Universal Multimodal Retrieval
269. NeurIPS 2025GeoCAD: Local Geometry-Controllable CAD Generation with Large Language Models
270. NeurIPS 2025GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation
271. NeurIPS 2025Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models
272. NeurIPS 2025GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments
273. NeurIPS 2025HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks
274. NeurIPS 2025Hierarchical Retrieval: The Geometry and a Pretrain-Finetune Recipe
275. NeurIPS 2025Highlighting What Matters: Promptable Embeddings for Attribute-Focused Image Retrieval
276. NeurIPS 2025How Classifier Features Transfer to Downstream: An Asymptotic Analysis in a Two-Layer Model
277. NeurIPS 2025HumanoidGen: Data Generation for Bimanual Dexterous Manipulation via LLM Reasoning
278. NeurIPS 2025HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation
279. NeurIPS 2025HyperMixup: Hypergraph-Augmented with Higher-order Information Mixup
280. NeurIPS 2025ImageSentinel: Protecting Visual Datasets from Unauthorized Retrieval-Augmented Image Generation
281. NeurIPS 2025Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
282. NeurIPS 2025Influence Guided Context Selection for Effective Retrieval-Augmented Generation
283. NeurIPS 2025Interactive Cross-modal Learning for Text-3D Scene Retrieval
284. NeurIPS 2025InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy
285. NeurIPS 2025Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers
286. NeurIPS 2025Knowledge-based Visual Question Answer with Multimodal Processing, Retrieval and Filtering
287. NeurIPS 2025KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems
288. NeurIPS 2025KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse
289. NeurIPS 2025Latent Retrieval Augmented Generation of Cross-Domain Protein Binders
290. NeurIPS 2025Learning to Rank for In-Context Example Retrieval
291. NeurIPS 2025Learning World Models for Interactive Video Generation
292. NeurIPS 2025Learning-Augmented Algorithms for $k$-median via Online Learning
293. NeurIPS 2025Learning-Augmented Facility Location Mechanisms for the Envy Ratio Objective
294. NeurIPS 2025Learning-Augmented Online Bidding in Stochastic Settings
295. NeurIPS 2025Learning-Augmented Online Bipartite Fractional Matching
296. NeurIPS 2025Learning-Augmented Streaming Algorithms for Correlation Clustering
297. NeurIPS 2025MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks
298. NeurIPS 2025MedChain: Bridging the Gap Between LLM Agents and Clinical Practice with Interactive Sequence
299. NeurIPS 2025Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models
300. NeurIPS 2025MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query

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.