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 8 of 8

351. NeurIPS 2024RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation
352. NeurIPS 2024RAGraph: A General Retrieval-Augmented Graph Learning Framework
353. NeurIPS 2024RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
354. NeurIPS 2024Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models
355. NeurIPS 2024ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
356. NeurIPS 2024ReMAP: Neural Model Reprogramming with Network Inversion and Retrieval-Augmented Mapping for Adaptive Motion Forecasting
357. NeurIPS 2024Retrieval-Augmented Diffusion Models for Time Series Forecasting
358. NeurIPS 2024Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
359. NeurIPS 2024SciCode: A Research Coding Benchmark Curated by Scientists
360. NeurIPS 2024SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge
361. NeurIPS 2024Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
362. NeurIPS 2024SGLang: Efficient Execution of Structured Language Model Programs
363. NeurIPS 2024STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
364. NeurIPS 2024Stylus: Automatic Adapter Selection for Diffusion Models
365. NeurIPS 2024TableRAG: Million-Token Table Understanding with Language Models
366. NeurIPS 2024The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding
367. NeurIPS 2024UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis
368. NeurIPS 2024Unified Generative and Discriminative Training for Multi-modal Large Language Models
369. NeurIPS 2024VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding
370. NeurIPS 2024When does perceptual alignment benefit vision representations?
371. NeurIPS 2024WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia
372. NeurIPS 2024xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
373. NeurIPS 2023A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance
374. NeurIPS 2023Augmented Memory Replay-based Continual Learning Approaches for Network Intrusion Detection
375. NeurIPS 2023FACE: Evaluating Natural Language Generation with Fourier Analysis of Cross-Entropy
376. NeurIPS 2023Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory
377. NeurIPS 2023Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering
378. NeurIPS 2023Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks
379. NeurIPS 2023Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels
380. NeurIPS 2023Lift Yourself Up: Retrieval-augmented Text Generation with Self-Memory
381. NeurIPS 2023Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context
382. NeurIPS 2023Online Ad Allocation with Predictions
383. NeurIPS 2023Pairwise GUI Dataset Construction Between Android Phones and Tablets
384. NeurIPS 2023Prompt-augmented Temporal Point Process for Streaming Event Sequence
385. NeurIPS 2023Recommender Systems with Generative Retrieval
386. NeurIPS 2023Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
387. NeurIPS 2023Retrieval-Augmented Multiple Instance Learning
388. NeurIPS 2023Topological RANSAC for instance verification and retrieval without fine-tuning
389. NeurIPS 2023Uniform Convergence with Square-Root Lipschitz Loss
390. NeurIPS 2023Unleashing the Full Potential of Product Quantization for Large-Scale Image Retrieval
391. NeurIPS 2023Unlimiformer: Long-Range Transformers with Unlimited Length Input

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.