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 6 of 7

251. ICLR 2024EventRPG: Event Data Augmentation with Relevance Propagation Guidance
252. ICLR 2024Fake It Till Make It: Federated Learning with Consensus-Oriented Generation
253. ICLR 2024Graph Generation with $K^2$-trees
254. ICLR 2024KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
255. ICLR 2024Learning Performance-Improving Code Edits
256. ICLR 2024LLM Augmented LLMs: Expanding Capabilities through Composition
257. ICLR 2024Making Retrieval-Augmented Language Models Robust to Irrelevant Context
258. ICLR 2024Mean Field Theory in Deep Metric Learning
259. ICLR 2024MixSATGEN: Learning Graph Mixing for SAT Instance Generation
260. ICLR 2024Neural Architecture Retrieval
261. ICLR 2024RA-DIT: Retrieval-Augmented Dual Instruction Tuning
262. ICLR 2024RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
263. ICLR 2024RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation
264. ICLR 2024ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion
265. ICLR 2024Retrieval is Accurate Generation
266. ICLR 2024Retrieval meets Long Context Large Language Models
267. ICLR 2024Retrieval-based Disentangled Representation Learning with Natural Language Supervision
268. ICLR 2024Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation
269. ICLR 2024Scaling Supervised Local Learning with Augmented Auxiliary Networks
270. ICLR 2024Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
271. ICLR 2024SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
272. ICLR 2024TabR: Tabular Deep Learning Meets Nearest Neighbors
273. ICLR 2024Tree Cross Attention
274. ICLR 2024Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency
275. ICLR 2023ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations
276. ICLR 2023Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception
277. ICLR 2023Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation
278. ICLR 2023Backpropagation through Combinatorial Algorithms: Identity with Projection Works
279. ICLR 2023CodeT: Code Generation with Generated Tests
280. ICLR 2023Decompositional Generation Process for Instance-Dependent Partial Label Learning
281. ICLR 2023DocPrompting: Generating Code by Retrieving the Docs
282. ICLR 2023Evidential Uncertainty and Diversity Guided Active Learning for Scene Graph Generation
283. ICLR 2023FastFill: Efficient Compatible Model Update
284. ICLR 2023FunkNN: Neural Interpolation for Functional Generation
285. ICLR 2023HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization
286. ICLR 2023ILA-DA: Improving Transferability of Intermediate Level Attack with Data Augmentation
287. ICLR 2023Improved Learning-augmented Algorithms for k-means and k-medians Clustering
288. ICLR 2023kNN-Diffusion: Image Generation via Large-Scale Retrieval
289. ICLR 2023KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals
290. ICLR 2023Learning the Positions in CountSketch
291. ICLR 2023Learning to Generate Columns with Application to Vertex Coloring
292. ICLR 2023LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval
293. ICLR 2023Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval
294. ICLR 2023Neural Networks and the Chomsky Hierarchy
295. ICLR 2023On the Usefulness of Embeddings, Clusters and Strings for Text Generation Evaluation
296. ICLR 2023Promptagator: Few-shot Dense Retrieval From 8 Examples
297. ICLR 2023Re-Imagen: Retrieval-Augmented Text-to-Image Generator
298. ICLR 2023Recitation-Augmented Language Models
299. ICLR 2023Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning
300. ICLR 2023Retrieval-based Controllable Molecule Generation

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.