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

50 papers, page 1 of 1

1. NeurIPS 2024$\texttt{ConflictBank}$: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs
2. NeurIPS 2024A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
3. NeurIPS 2024Ad Auctions for LLMs via Retrieval Augmented Generation
4. NeurIPS 2024AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases
5. NeurIPS 2024Approaching Human-Level Forecasting with Language Models
6. NeurIPS 2024BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack
7. NeurIPS 2024Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models
8. NeurIPS 2024Boosting the Potential of Large Language Models with an Intelligent Information Assistant
9. NeurIPS 2024CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes
10. NeurIPS 2024Chain of Agents: Large Language Models Collaborating on Long-Context Tasks
11. NeurIPS 2024ChatQA: Surpassing GPT-4 on Conversational QA and RAG
12. NeurIPS 2024ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence
13. NeurIPS 2024CRAG - Comprehensive RAG Benchmark
14. NeurIPS 2024Einsum Benchmark: Enabling the Development of Next-Generation Tensor Execution Engines
15. NeurIPS 2024Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework
16. NeurIPS 2024Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following
17. NeurIPS 2024FinBen: A Holistic Financial Benchmark for Large Language Models
18. NeurIPS 2024Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond
19. NeurIPS 2024G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
20. NeurIPS 2024G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models
21. NeurIPS 2024HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
22. NeurIPS 2024KnowGPT: Knowledge Graph based Prompting for Large Language Models
23. NeurIPS 2024Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation
24. NeurIPS 2024LLM-Check: Investigating Detection of Hallucinations in Large Language Models
25. NeurIPS 2024LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search
26. NeurIPS 2024Molecule Generation with Fragment Retrieval Augmentation
27. NeurIPS 2024Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering
28. NeurIPS 2024Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting
29. NeurIPS 2024RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation
30. NeurIPS 2024RAGraph: A General Retrieval-Augmented Graph Learning Framework
31. NeurIPS 2024RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
32. NeurIPS 2024Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models
33. NeurIPS 2024ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
34. NeurIPS 2024ReMAP: Neural Model Reprogramming with Network Inversion and Retrieval-Augmented Mapping for Adaptive Motion Forecasting
35. NeurIPS 2024Retrieval-Augmented Diffusion Models for Time Series Forecasting
36. NeurIPS 2024Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
37. NeurIPS 2024SciCode: A Research Coding Benchmark Curated by Scientists
38. NeurIPS 2024SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge
39. NeurIPS 2024Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
40. NeurIPS 2024SGLang: Efficient Execution of Structured Language Model Programs
41. NeurIPS 2024STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
42. NeurIPS 2024Stylus: Automatic Adapter Selection for Diffusion Models
43. NeurIPS 2024TableRAG: Million-Token Table Understanding with Language Models
44. NeurIPS 2024The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding
45. NeurIPS 2024UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis
46. NeurIPS 2024Unified Generative and Discriminative Training for Multi-modal Large Language Models
47. NeurIPS 2024VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding
48. NeurIPS 2024When does perceptual alignment benefit vision representations?
49. NeurIPS 2024WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia
50. NeurIPS 2024xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token

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.