Retrieval-Augmented Generation papers, 2023–2026

RAG and retrieval augmentation

Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 1,200 papers are tagged with this topic.

Key findings

Papers per year

Papers per venue

Counts by year and venue

Retrieval-Augmented Generation papers by year and venue
YearNeurIPSICLRICMLCVPRTotal
202319291737102
202450345049183
20251361115762366
2026186129126108549

Representative papers

Spread across years and venues so every edition shows up

All Retrieval-Augmented Generation papers

62 papers, page 1 of 2

  1. CVPR 2025AirRoom: Objects Matter in Room Reidentification
  2. CVPR 2025AKiRa: Augmentation Kit on Rays for Optical Video Generation
  3. CVPR 2025ArtFormer: Controllable Generation of Diverse 3D Articulated Objects
  4. CVPR 2025ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary
  5. CVPR 2025Augmented Deep Contexts for Spatially Embedded Video Coding
  6. CVPR 2025BizGen: Advancing Article-level Visual Text Rendering for Infographics Generation
  7. CVPR 2025Boosting Adversarial Transferability through Augmentation in Hypothesis Space
  8. CVPR 2025Bridging Modalities: Improving Universal Multimodal Retrieval by Multimodal Large Language Models
  9. CVPR 2025CCIN: Compositional Conflict Identification and Neutralization for Composed Image Retrieval
  10. CVPR 2025Chat-based Person Retrieval via Dialogue-Refined Cross-Modal Alignment
  11. CVPR 2025ChatHuman: Chatting about 3D Humans with Tools
  12. CVPR 2025CLIP is Almost All You Need: Towards Parameter-Efficient Scene Text Retrieval without OCR
  13. CVPR 2025COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation
  14. CVPR 2025Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation
  15. CVPR 2025ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval
  16. CVPR 2025DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation
  17. CVPR 2025Docopilot: Improving Multimodal Models for Document-Level Understanding
  18. CVPR 2025Document Haystacks: Vision-Language Reasoning Over Piles of 1000+ Documents
  19. CVPR 2025DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching
  20. CVPR 2025Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation
  21. CVPR 2025Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning
  22. CVPR 2025FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance
  23. CVPR 2025From Words to Structured Visuals: A Benchmark and Framework for Text-to-Diagram Generation and Editing
  24. CVPR 2025Fuzzy Multimodal Learning for Trusted Cross-modal Retrieval
  25. CVPR 2025GarmentPile: Point-Level Visual Affordance Guided Retrieval and Adaptation for Cluttered Garments Manipulation
  26. CVPR 2025HumanDreamer: Generating Controllable Human-Motion Videos via Decoupled Generation
  27. CVPR 2025Imagine and Seek: Improving Composed Image Retrieval with an Imagined Proxy
  28. CVPR 2025LaTexBlend: Scaling Multi-concept Customized Generation with Latent Textual Blending
  29. CVPR 2025Learning Compatible Multi-Prize Subnetworks for Asymmetric Retrieval
  30. CVPR 2025Learning with Noisy Triplet Correspondence for Composed Image Retrieval
  31. CVPR 2025LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table
  32. CVPR 2025MAD: Memory-Augmented Detection of 3D Objects
  33. CVPR 2025MAR-3D: Progressive Masked Auto-regressor for High-Resolution 3D Generation
  34. CVPR 2025MaRI: Material Retrieval Integration across Domains
  35. CVPR 2025MG-MotionLLM: A Unified Framework for Motion Comprehension and Generation across Multiple Granularities
  36. CVPR 2025NeighborRetr: Balancing Hub Centrality in Cross-Modal Retrieval
  37. CVPR 2025OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations
  38. CVPR 2025PromptHash:Affinity-Prompted Collaborative Cross-Modal Learning for Adaptive Hashing Retrieval
  39. CVPR 2025RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings
  40. CVPR 2025RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models
  41. CVPR 2025Recurrence-Enhanced Vision-and-Language Transformers for Robust Multimodal Document Retrieval
  42. CVPR 2025Retrieving Semantics from the Deep: an RAG Solution for Gesture Synthesis
  43. CVPR 2025SALOVA: Segment-Augmented Long Video Assistant for Targeted Retrieval and Routing in Long-Form Video Analysis
  44. CVPR 2025Scaling Mesh Generation via Compressive Tokenization
  45. CVPR 2025Scene Map-based Prompt Tuning for Navigation Instruction Generation
  46. CVPR 2025Search and Detect: Training-Free Long Tail Object Detection via Web-Image Retrieval
  47. CVPR 2025Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection
  48. CVPR 2025SemGeoMo: Dynamic Contextual Human Motion Generation with Semantic and Geometric Guidance
  49. CVPR 2025SerialGen: Personalized Image Generation by First Standardization Then Personalization
  50. CVPR 2025SKDream: Controllable Multi-view and 3D Generation with Arbitrary Skeletons

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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.

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