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

1,200 papers, page 9 of 24

401. NeurIPS 2026Coupling Models for One-Step Discrete Generation
402. NeurIPS 2026DaCe-DT: Data-Centric Offline Multi-Task Reinforcement Learning via Adaptive Prompts and Trajectory Correction for Heterogeneous Tasks
403. NeurIPS 2026Deceptive Grounding: Entity Attribution Failure in Clinical Retrieval-Augmented Generation
404. NeurIPS 2026Decoupled Prototype Contrastive Alignment Hashing for Cross-Modal Retrieval
405. NeurIPS 2026DeepfakeGenome: Toward Next-Generation Deepfake Attribution
406. NeurIPS 2026Defense-as-Skill: Evolving Runtime Guard Skill for Skill-Augmented Agents
407. NeurIPS 2026Differentiable Retrieval-Augmented Generation for Predicting Cellular Responses to Gene Perturbation
408. NeurIPS 2026Discrete Stochastic Localization for Non-autoregressive Generation
409. NeurIPS 2026Do LLMs Bind Episodes? Probing Cross-Episode Parametric Retrieval Through Shared Cues
410. NeurIPS 2026DocAtlas: Long-Document Understanding as Mutable-State Interaction
411. NeurIPS 2026DriftWeight: Repulsive Drift in Mean-Flow Space for Neural Network Weight Generation
412. NeurIPS 2026Duality Models: An Embarrassingly Simple One-step Generation Paradigm
413. NeurIPS 2026Dynamic Convolutions Improve Transformers
414. NeurIPS 2026Dynamic Regulatory Graph Learning for Histology-to-Spatial Transcriptomics
415. NeurIPS 2026Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization
416. NeurIPS 2026Exact Regular-Constrained Sampling for Variable-Order Markov Generation
417. NeurIPS 2026Expanding Flow Maps
418. NeurIPS 2026Exposing Private Corpus Leakage in Multimodal RAG
419. NeurIPS 2026FACBench: A Benchmark for Formal-Anchor Collisions in Multilingual Mathematical Grounding
420. NeurIPS 2026Fast 4D Mesh Generation by Spatio-Temporal Attention Chains
421. NeurIPS 2026Feeling of Knowing in Large Language Models
422. NeurIPS 2026Firefly: Illuminating Verified Real-world Tool Call Data Generation
423. NeurIPS 2026FlyAOC: Evaluating Agentic Ontology Curation of Drosophila Scientific Knowledge Bases
424. NeurIPS 2026FracTS: Hierarchical and Autoregressive Time Series Generation
425. NeurIPS 2026G-Zero: Self-Play for Open-Ended Generation from Zero Data
426. NeurIPS 2026Generating the Unheard: Phylogeny-Guided Latent Generation for Ancestral Sound Reconstruction
427. NeurIPS 2026Generation-Drift-Guided Block Pruning for Large Language Models
428. NeurIPS 2026GeoFidelity-Bench: Evaluating Block-Conditioned Geographic Fidelity in Text-to-Image Street-View Generation
429. NeurIPS 2026Geometric Gain Graph: Zero-Token Graph Construction for Multi-Hop RAG
430. NeurIPS 2026Gradient Boosted Trees for Retrieval-Augmented Generation
431. NeurIPS 2026GraphInstruct: A Progressive Benchmark for Diagnosing Capability Gaps in LLM Graph Generation
432. NeurIPS 2026GRINQH: Graded Input-based Quantization Hierarchy for Efficient LLM Generation
433. NeurIPS 2026Group of Skills: Group-Structured Skill Retrieval for Agent Skill Libraries
434. NeurIPS 2026Half-Truths Break Similarity-Based Retrieval
435. NeurIPS 2026HalluWorld: A Controlled Benchmark for Hallucination via Reference World Models
436. NeurIPS 2026HALO: Homotopy-Augmented Layer Optimization for Stable LLM Supervised Post-training
437. NeurIPS 2026HARMONY: Hierarchical Anchor Retrieval on Manifold for Oblivious-source Acoustic Anomaly Detection
438. NeurIPS 2026How Data Augmentation Shapes Neural Representations
439. NeurIPS 2026How Much Evidence Should Retrieval-Augmented In-Context Learning Use Under Distribution Shift?
440. NeurIPS 2026Hypothesis generation and updating in large language models
441. NeurIPS 2026I-PTC: Interactive Programmatic Tool Calling for Stateful Tool-Augmented Agents
442. NeurIPS 2026IADR: Interface-Augmented Neural Operator for Phase-Field Mean-Curvature Flow
443. NeurIPS 2026In-Context Optimization for Retrieval-Augmented Generation: A Gradient-Descent Perspective
444. NeurIPS 2026Incentivizing Agentic Retrieval for Disease-Centric Clinical Case Search via Trajectory Memory
445. NeurIPS 2026IndustryCode: A Benchmark for Industry Code Generation
446. NeurIPS 2026Inferential Theory of Learning as a Framework for Test-Time Computation in Foundation Models
447. NeurIPS 2026Invisible Ink, Visible Lies: How Production Watermarking Causes LLMs to Hallucinate
448. NeurIPS 2026Is Dimensionality a Barrier for Retrieval Models?
449. NeurIPS 2026Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE
450. NeurIPS 2026Knowing What is Missing: Efficient Conversational Memory via Explicit Evidence-Gap Tracking

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.