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 391 篇，第 7 / 8 页

  1. NeurIPS 2025STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization
  2. NeurIPS 2025SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning
  3. NeurIPS 2025TEMPO: Temporal Multi-scale Autoregressive Generation of Protein Conformational Ensembles
  4. NeurIPS 2025The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation
  5. NeurIPS 2025Towards A Generalist Code Embedding Model Based On Massive Data Synthesis
  6. NeurIPS 2025Towards Better & Faster Autoregressive Image Generation: From the Perspective of Entropy
  7. NeurIPS 2025Towards Doctor-Like Reasoning: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients
  8. NeurIPS 2025Towards General Continuous Memory for Vision-Language Models
  9. NeurIPS 2025Towards Robust Uncertainty Calibration for Composed Image Retrieval
  10. NeurIPS 2025TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval
  11. NeurIPS 2025Track, Inpaint, Resplat: Subject-driven 3D and 4D Generation with Progressive Texture Infilling
  12. NeurIPS 2025TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster
  13. NeurIPS 2025Understanding Parametric and Contextual Knowledge Reconciliation within Large Language Models
  14. NeurIPS 2025Understanding protein function with a multimodal retrieval-augmented foundation model
  15. NeurIPS 2025Unified all-atom molecule generation with neural fields
  16. NeurIPS 2025Vgent: Graph-based Retrieval-Reasoning-Augmented Generation For Long Video Understanding
  17. NeurIPS 2025Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension
  18. NeurIPS 2025VimoRAG: Video-based Retrieval-augmented 3D Motion Generation for Motion Language Models
  19. NeurIPS 2025VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning
  20. NeurIPS 2025WebThinker: Empowering Large Reasoning Models with Deep Research Capability
  21. NeurIPS 2025When One Moment Isn't Enough: Multi-Moment Retrieval with Cross-Moment Interactions
  22. NeurIPS 2025Worse than Zero-shot? A Fact-Checking Dataset for Evaluating the Robustness of RAG Against Misleading Retrievals
  23. NeurIPS 2024$\texttt{ConflictBank}$: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs
  24. NeurIPS 2024A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
  25. NeurIPS 2024Ad Auctions for LLMs via Retrieval Augmented Generation
  26. NeurIPS 2024AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases
  27. NeurIPS 2024Approaching Human-Level Forecasting with Language Models
  28. NeurIPS 2024BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack
  29. NeurIPS 2024Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models
  30. NeurIPS 2024Boosting the Potential of Large Language Models with an Intelligent Information Assistant
  31. NeurIPS 2024CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes
  32. NeurIPS 2024Chain of Agents: Large Language Models Collaborating on Long-Context Tasks
  33. NeurIPS 2024ChatQA: Surpassing GPT-4 on Conversational QA and RAG
  34. NeurIPS 2024ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence
  35. NeurIPS 2024CRAG - Comprehensive RAG Benchmark
  36. NeurIPS 2024Einsum Benchmark: Enabling the Development of Next-Generation Tensor Execution Engines
  37. NeurIPS 2024Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework
  38. NeurIPS 2024Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following
  39. NeurIPS 2024FinBen: A Holistic Financial Benchmark for Large Language Models
  40. NeurIPS 2024Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond
  41. NeurIPS 2024G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
  42. NeurIPS 2024G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models
  43. NeurIPS 2024HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
  44. NeurIPS 2024KnowGPT: Knowledge Graph based Prompting for Large Language Models
  45. NeurIPS 2024Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation
  46. NeurIPS 2024LLM-Check: Investigating Detection of Hallucinations in Large Language Models
  47. NeurIPS 2024LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search
  48. NeurIPS 2024Molecule Generation with Fragment Retrieval Augmentation
  49. NeurIPS 2024Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering
  50. NeurIPS 2024Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting

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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