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

186 papers, page 1 of 4

1. NeurIPS 2026A Theoretical Analysis of Test-Driven Code Generation
2. NeurIPS 2026A Theory of Time-Sensitive Language Generation: Sparse Hallucination Beats Mode Collapse
3. NeurIPS 2026A Training-Free Video Moment Retrieval Framework via Selection from Multiple Visual Prompts
4. NeurIPS 2026Accelerating Neural Network Training with Augmented Koopman Dynamics
5. NeurIPS 2026Adversarial Corpus Selection to Attack Subgraph Matching based Graph Retrieval
6. NeurIPS 2026AgenticOCR: Parsing Only What You Need for Efficient Retrieval-Augmented Generation
7. NeurIPS 2026Align-RAG: Alignment Is All You Need for TSFM In-Context Learning
8. NeurIPS 2026AnalogToBi: Device-Level Analog Circuit Topology Generation via Bipartite Graph and Grammar Guided Decoding
9. NeurIPS 2026APM: Evaluating Style Personalization in LLMs with Arbitrary Preference Mappings
10. NeurIPS 2026ASH: Agents that Self-Hone via Embodied Learning
11. NeurIPS 2026Ask in the Crowd: Differentially Private LLM Inference via Dummy-Augmented Shuffling
12. NeurIPS 2026Assessing Sample Quality in Conditional Generation under Compositional Shift
13. NeurIPS 2026Augmented Equivariant Mesh Networks for Anatomical Segmentation
14. NeurIPS 2026Augmented Lagrangian Method for Last-Iterate Convergence for Constrained MDPs
15. NeurIPS 2026Augmented Lagrangian Predictive Coding
16. NeurIPS 2026Auto-Dreamer: Learning Offline Memory Consolidation for Language Agents
17. NeurIPS 2026Automated Reformulation of Robust Optimization via Memory-Augmented Large Language Models
18. NeurIPS 2026Beyond Empirical Support: Structured Outlier Generation via Sinkhorn Optimal Transport
19. NeurIPS 2026Beyond Flat Walks: Compositional Abstraction for Autoregressive Graph Generation
20. NeurIPS 2026Beyond RAG for Agent Memory: Retrieval by Decoupling and Aggregation
21. NeurIPS 2026Beyond Raw Context Transfer: Representation-based Federated Retrieval-Augmented Generation
22. NeurIPS 2026Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction
23. NeurIPS 2026Beyond Uniform Detection: Adaptive Hallucination Detection for RAG Across Response Regimes
24. NeurIPS 2026Beyond Visual Boundaries: Rethinking Scene Segmentation for Movie RAG
25. NeurIPS 2026BioMicroAgents: A Co-evolutionary Multi-Agent Framework for High-Fidelity Biomicroscopy Imaging
26. NeurIPS 2026Boosting Brain-to-Image Decoding with TRIBE v2 Data Augmentation
27. NeurIPS 2026Boundary-Induced Forgetting in Large Language Model Tool Chains: Measuring Field-Routing Failures
28. NeurIPS 2026Breaking Noise Shortcuts in Self-Supervised Learning via Noise-Aligned View Generation
29. NeurIPS 2026BrickAnything: Geometry-Conditioned Buildable Brick Generation with Structure-Aware Tokenization
30. NeurIPS 2026Can LLMs Take Retrieved Information with a Grain of Salt?
31. NeurIPS 2026Character Mixing for Video Generation
32. NeurIPS 2026CivBench: A Long-Horizon Benchmark for Tool-Mediated Agents in Civilization VI
33. NeurIPS 2026Closing the Indexing-Decoding Gap in Multimodal Generative Retrieval via Prefix Retention Optimization
34. NeurIPS 2026Conflict-Suppressed RAG: A Simple Decoding-Time Framework for Faithful Retrieval-Augmented Generation
35. NeurIPS 2026Constraint Retrieval Is Not Constraint Enforcement in Large Language Models
36. NeurIPS 2026Contrastive Identification and Generation in the Limit
37. NeurIPS 2026Contrastive Retrieval Heads for Improved Attention-Based Reranking
38. NeurIPS 2026Coupling Models for One-Step Discrete Generation
39. NeurIPS 2026DaCe-DT: Data-Centric Offline Multi-Task Reinforcement Learning via Adaptive Prompts and Trajectory Correction for Heterogeneous Tasks
40. NeurIPS 2026Deceptive Grounding: Entity Attribution Failure in Clinical Retrieval-Augmented Generation
41. NeurIPS 2026Decoupled Prototype Contrastive Alignment Hashing for Cross-Modal Retrieval
42. NeurIPS 2026DeepfakeGenome: Toward Next-Generation Deepfake Attribution
43. NeurIPS 2026Defense-as-Skill: Evolving Runtime Guard Skill for Skill-Augmented Agents
44. NeurIPS 2026Differentiable Retrieval-Augmented Generation for Predicting Cellular Responses to Gene Perturbation
45. NeurIPS 2026Discrete Stochastic Localization for Non-autoregressive Generation
46. NeurIPS 2026Do LLMs Bind Episodes? Probing Cross-Episode Parametric Retrieval Through Shared Cues
47. NeurIPS 2026DocAtlas: Long-Document Understanding as Mutable-State Interaction
48. NeurIPS 2026DriftWeight: Repulsive Drift in Mean-Flow Space for Neural Network Weight Generation
49. NeurIPS 2026Duality Models: An Embarrassingly Simple One-step Generation Paradigm
50. NeurIPS 2026Dynamic Convolutions Improve Transformers

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.