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

183 papers, page 2 of 4

51. ICLR 2024Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts
52. ICLR 2024Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders
53. ICLR 2024AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images
54. ICLR 2024AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
55. ICLR 2024BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models
56. ICLR 2024CAMBranch: Contrastive Learning with Augmented MILPs for Branching
57. ICLR 2024Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization
58. ICLR 2024Conversational Drug Editing Using Retrieval and Domain Feedback
59. ICLR 2024Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation
60. ICLR 2024EventRPG: Event Data Augmentation with Relevance Propagation Guidance
61. ICLR 2024Fake It Till Make It: Federated Learning with Consensus-Oriented Generation
62. ICLR 2024Graph Generation with $K^2$-trees
63. ICLR 2024KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
64. ICLR 2024Learning Performance-Improving Code Edits
65. ICLR 2024LLM Augmented LLMs: Expanding Capabilities through Composition
66. ICLR 2024Making Retrieval-Augmented Language Models Robust to Irrelevant Context
67. ICLR 2024Mean Field Theory in Deep Metric Learning
68. ICLR 2024MixSATGEN: Learning Graph Mixing for SAT Instance Generation
69. ICLR 2024Neural Architecture Retrieval
70. ICLR 2024RA-DIT: Retrieval-Augmented Dual Instruction Tuning
71. ICLR 2024RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
72. ICLR 2024RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation
73. ICLR 2024ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion
74. ICLR 2024Retrieval is Accurate Generation
75. ICLR 2024Retrieval meets Long Context Large Language Models
76. ICLR 2024Retrieval-based Disentangled Representation Learning with Natural Language Supervision
77. ICLR 2024Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation
78. ICLR 2024Scaling Supervised Local Learning with Augmented Auxiliary Networks
79. ICLR 2024Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
80. ICLR 2024SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
81. ICLR 2024TabR: Tabular Deep Learning Meets Nearest Neighbors
82. ICLR 2024Tree Cross Attention
83. ICLR 2024Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency
84. ICML 2024A Statistical Framework for Data-dependent Retrieval-Augmented Models
85. ICML 2024Accelerating Iterative Retrieval-augmented Language Model Serving with Speculation
86. ICML 2024ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation
87. ICML 2024Adaptive Stabilization Based on Machine Learning for Column Generation
88. ICML 2024Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning
89. ICML 2024Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation
90. ICML 2024Behavior Generation with Latent Actions
91. ICML 2024Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT
92. ICML 2024BetterV: Controlled Verilog Generation with Discriminative Guidance
93. ICML 2024Bottleneck-Minimal Indexing for Generative Document Retrieval
94. ICML 2024C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models
95. ICML 2024Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
96. ICML 2024Cluster-Aware Similarity Diffusion for Instance Retrieval
97. ICML 2024Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
98. ICML 2024Collaborative Learning with Different Labeling Functions
99. ICML 2024Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval
100. ICML 2024Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes

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.