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

111 papers, page 1 of 3

1. ICLR 2025A Non-Contrastive Learning Framework for Sequential Recommendation with Preference-Preserving Profile Generation
2. ICLR 2025A Theory for Token-Level Harmonization in Retrieval-Augmented Generation
3. ICLR 2025A Training-Free Sub-quadratic Cost Transformer Model Serving Framework with Hierarchically Pruned Attention
4. ICLR 2025Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection
5. ICLR 2025Agent S: An Open Agentic Framework that Uses Computers Like a Human
6. ICLR 2025APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding
7. ICLR 2025Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers
8. ICLR 2025Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation
9. ICLR 2025BadJudge: Backdoor Vulnerabilities of LLM-As-A-Judge
10. ICLR 2025Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent
11. ICLR 2025Beyond Content Relevance: Evaluating Instruction Following in Retrieval Models
12. ICLR 2025Block-Attention for Efficient Prefilling
13. ICLR 2025Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models
14. ICLR 2025ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities
15. ICLR 2025Chunk-Distilled Language Modeling
16. ICLR 2025CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design
17. ICLR 2025ColPali: Efficient Document Retrieval with Vision Language Models
18. ICLR 2025Contextual Document Embeddings
19. ICLR 2025Contextualizing biological perturbation experiments through language
20. ICLR 2025Controllable Context Sensitivity and the Knob Behind It
21. ICLR 2025CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking
22. ICLR 2025DataGen: Unified Synthetic Dataset Generation via Large Language Models
23. ICLR 2025Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs
24. ICLR 2025DRoC: Elevating Large Language Models for Complex Vehicle Routing via Decomposed Retrieval of Constraints
25. ICLR 2025DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads
26. ICLR 2025Eliminating Position Bias of Language Models: A Mechanistic Approach
27. ICLR 2025Episodic Memories Generation and Evaluation Benchmark for Large Language Models
28. ICLR 2025ESE: Espresso Sentence Embeddings
29. ICLR 2025FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"
30. ICLR 2025Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems
31. ICLR 2025From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data
32. ICLR 2025GALA: Geometry-Aware Local Adaptive Grids for Detailed 3D Generation
33. ICLR 2025Generative Representational Instruction Tuning
34. ICLR 2025GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation
35. ICLR 2025HELMET: How to Evaluate Long-context Models Effectively and Thoroughly
36. ICLR 2025Herald: A Natural Language Annotated Lean 4 Dataset
37. ICLR 2025Holistic Reasoning with Long-Context LMs: A Benchmark for Database Operations on Massive Textual Data
38. ICLR 2025Human-inspired Episodic Memory for Infinite Context LLMs
39. ICLR 2025HyperPLR: Hypergraph Generation through Projection, Learning, and Reconstruction
40. ICLR 2025Improving Uncertainty Estimation through Semantically Diverse Language Generation
41. ICLR 2025Inference Scaling for Long-Context Retrieval Augmented Generation
42. ICLR 2025InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
43. ICLR 2025Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence
44. ICLR 2025KBLaM: Knowledge Base augmented Language Model
45. ICLR 2025KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA
46. ICLR 2025LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning
47. ICLR 2025Learn-by-interact: A Data-Centric Framework For Self-Adaptive Agents in Realistic Environments
48. ICLR 2025Learning-Augmented Frequent Directions
49. ICLR 2025Logical Consistency of Large Language Models in Fact-Checking
50. ICLR 2025Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

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.