检索增强生成论文趋势 2023–2026

RAG 与检索增强

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,200 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

检索增强生成论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202319291737102
202450345049183
20251361115762366
2026186129126108549

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

全部检索增强生成论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 1,200 篇，第 9 / 24 页

  1. NeurIPS 2026Coupling Models for One-Step Discrete Generation
  2. NeurIPS 2026DaCe-DT: Data-Centric Offline Multi-Task Reinforcement Learning via Adaptive Prompts and Trajectory Correction for Heterogeneous Tasks
  3. NeurIPS 2026Deceptive Grounding: Entity Attribution Failure in Clinical Retrieval-Augmented Generation
  4. NeurIPS 2026Decoupled Prototype Contrastive Alignment Hashing for Cross-Modal Retrieval
  5. NeurIPS 2026DeepfakeGenome: Toward Next-Generation Deepfake Attribution
  6. NeurIPS 2026Defense-as-Skill: Evolving Runtime Guard Skill for Skill-Augmented Agents
  7. NeurIPS 2026Differentiable Retrieval-Augmented Generation for Predicting Cellular Responses to Gene Perturbation
  8. NeurIPS 2026Discrete Stochastic Localization for Non-autoregressive Generation
  9. NeurIPS 2026Do LLMs Bind Episodes? Probing Cross-Episode Parametric Retrieval Through Shared Cues
  10. NeurIPS 2026DocAtlas: Long-Document Understanding as Mutable-State Interaction
  11. NeurIPS 2026DriftWeight: Repulsive Drift in Mean-Flow Space for Neural Network Weight Generation
  12. NeurIPS 2026Duality Models: An Embarrassingly Simple One-step Generation Paradigm
  13. NeurIPS 2026Dynamic Convolutions Improve Transformers
  14. NeurIPS 2026Dynamic Regulatory Graph Learning for Histology-to-Spatial Transcriptomics
  15. NeurIPS 2026Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization
  16. NeurIPS 2026Exact Regular-Constrained Sampling for Variable-Order Markov Generation
  17. NeurIPS 2026Expanding Flow Maps
  18. NeurIPS 2026Exposing Private Corpus Leakage in Multimodal RAG
  19. NeurIPS 2026FACBench: A Benchmark for Formal-Anchor Collisions in Multilingual Mathematical Grounding
  20. NeurIPS 2026Fast 4D Mesh Generation by Spatio-Temporal Attention Chains
  21. NeurIPS 2026Feeling of Knowing in Large Language Models
  22. NeurIPS 2026Firefly: Illuminating Verified Real-world Tool Call Data Generation
  23. NeurIPS 2026FlyAOC: Evaluating Agentic Ontology Curation of Drosophila Scientific Knowledge Bases
  24. NeurIPS 2026FracTS: Hierarchical and Autoregressive Time Series Generation
  25. NeurIPS 2026G-Zero: Self-Play for Open-Ended Generation from Zero Data
  26. NeurIPS 2026Generating the Unheard: Phylogeny-Guided Latent Generation for Ancestral Sound Reconstruction
  27. NeurIPS 2026Generation-Drift-Guided Block Pruning for Large Language Models
  28. NeurIPS 2026GeoFidelity-Bench: Evaluating Block-Conditioned Geographic Fidelity in Text-to-Image Street-View Generation
  29. NeurIPS 2026Geometric Gain Graph: Zero-Token Graph Construction for Multi-Hop RAG
  30. NeurIPS 2026Gradient Boosted Trees for Retrieval-Augmented Generation
  31. NeurIPS 2026GraphInstruct: A Progressive Benchmark for Diagnosing Capability Gaps in LLM Graph Generation
  32. NeurIPS 2026GRINQH: Graded Input-based Quantization Hierarchy for Efficient LLM Generation
  33. NeurIPS 2026Group of Skills: Group-Structured Skill Retrieval for Agent Skill Libraries
  34. NeurIPS 2026Half-Truths Break Similarity-Based Retrieval
  35. NeurIPS 2026HalluWorld: A Controlled Benchmark for Hallucination via Reference World Models
  36. NeurIPS 2026HALO: Homotopy-Augmented Layer Optimization for Stable LLM Supervised Post-training
  37. NeurIPS 2026HARMONY: Hierarchical Anchor Retrieval on Manifold for Oblivious-source Acoustic Anomaly Detection
  38. NeurIPS 2026How Data Augmentation Shapes Neural Representations
  39. NeurIPS 2026How Much Evidence Should Retrieval-Augmented In-Context Learning Use Under Distribution Shift?
  40. NeurIPS 2026Hypothesis generation and updating in large language models
  41. NeurIPS 2026I-PTC: Interactive Programmatic Tool Calling for Stateful Tool-Augmented Agents
  42. NeurIPS 2026IADR: Interface-Augmented Neural Operator for Phase-Field Mean-Curvature Flow
  43. NeurIPS 2026In-Context Optimization for Retrieval-Augmented Generation: A Gradient-Descent Perspective
  44. NeurIPS 2026Incentivizing Agentic Retrieval for Disease-Centric Clinical Case Search via Trajectory Memory
  45. NeurIPS 2026IndustryCode: A Benchmark for Industry Code Generation
  46. NeurIPS 2026Inferential Theory of Learning as a Framework for Test-Time Computation in Foundation Models
  47. NeurIPS 2026Invisible Ink, Visible Lies: How Production Watermarking Causes LLMs to Hallucinate
  48. NeurIPS 2026Is Dimensionality a Barrier for Retrieval Models?
  49. NeurIPS 2026Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE
  50. NeurIPS 2026Knowing What is Missing: Efficient Conversational Memory via Explicit Evidence-Gap Tracking

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查检索增强生成在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "retrieval-augmented-generation"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

常见问题

2023–2026 年四大会议一共有多少篇检索增强生成论文？
共 1,200 篇，按年份分别是 2023 年 102 篇、2024 年 183 篇、2025 年 366 篇、2026 年 549 篇。
NeurIPS 2026 有多少篇检索增强生成论文？
NeurIPS 2026 有 186 篇检索增强生成论文，上一届是 136 篇。
ICLR 2026 有多少篇检索增强生成论文？
ICLR 2026 有 129 篇检索增强生成论文，上一届是 111 篇。
ICML 2026 有多少篇检索增强生成论文？
ICML 2026 有 126 篇检索增强生成论文，上一届是 57 篇。
CVPR 2026 有多少篇检索增强生成论文？
CVPR 2026 有 108 篇检索增强生成论文，上一届是 62 篇。
哪个会议的检索增强生成论文最多？
NeurIPS，2023–2026 年共 391 篇。

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