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
- 检索增强生成论文从 2023 年的 102 篇增长到 2026 年的 549 篇，三年间扩大到约 5.4 倍。
- NeurIPS 是发检索增强生成论文最多的会议，2023–2026 年共 391 篇，占四个会议总量的 33%。
- 交叉方向里涨得最快的是AI 智能体：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 75 篇。
- 在「自然语言」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的代码生成是 4.1 倍，检索增强生成是 5.4 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 19 | 29 | 17 | 37 | 102 |
| 2024 | 50 | 34 | 50 | 49 | 183 |
| 2025 | 136 | 111 | 57 | 62 | 366 |
| 2026 | 186 | 129 | 126 | 108 | 549 |
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
- 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
全部检索增强生成论文
共 391 篇，第 8 / 8 页
- NeurIPS 2024RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation
- NeurIPS 2024RAGraph: A General Retrieval-Augmented Graph Learning Framework
- NeurIPS 2024RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
- NeurIPS 2024Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models
- NeurIPS 2024ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
- NeurIPS 2024ReMAP: Neural Model Reprogramming with Network Inversion and Retrieval-Augmented Mapping for Adaptive Motion Forecasting
- NeurIPS 2024Retrieval-Augmented Diffusion Models for Time Series Forecasting
- NeurIPS 2024Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
- NeurIPS 2024SciCode: A Research Coding Benchmark Curated by Scientists
- NeurIPS 2024SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge
- NeurIPS 2024Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
- NeurIPS 2024SGLang: Efficient Execution of Structured Language Model Programs
- NeurIPS 2024STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
- NeurIPS 2024Stylus: Automatic Adapter Selection for Diffusion Models
- NeurIPS 2024TableRAG: Million-Token Table Understanding with Language Models
- NeurIPS 2024The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding
- NeurIPS 2024UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis
- NeurIPS 2024Unified Generative and Discriminative Training for Multi-modal Large Language Models
- NeurIPS 2024VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding
- NeurIPS 2024When does perceptual alignment benefit vision representations?
- NeurIPS 2024WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia
- NeurIPS 2024xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
- NeurIPS 2023A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance
- NeurIPS 2023Augmented Memory Replay-based Continual Learning Approaches for Network Intrusion Detection
- NeurIPS 2023FACE: Evaluating Natural Language Generation with Fourier Analysis of Cross-Entropy
- NeurIPS 2023Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory
- NeurIPS 2023Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering
- NeurIPS 2023Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks
- NeurIPS 2023Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels
- NeurIPS 2023Lift Yourself Up: Retrieval-augmented Text Generation with Self-Memory
- NeurIPS 2023Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context
- NeurIPS 2023Online Ad Allocation with Predictions
- NeurIPS 2023Pairwise GUI Dataset Construction Between Android Phones and Tablets
- NeurIPS 2023Prompt-augmented Temporal Point Process for Streaming Event Sequence
- NeurIPS 2023Recommender Systems with Generative Retrieval
- NeurIPS 2023Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
- NeurIPS 2023Retrieval-Augmented Multiple Instance Learning
- NeurIPS 2023Topological RANSAC for instance verification and retrieval without fine-tuning
- NeurIPS 2023Uniform Convergence with Square-Root Lipschitz Loss
- NeurIPS 2023Unleashing the Full Potential of Product Quantization for Large-Scale Image Retrieval
- NeurIPS 2023Unlimiformer: Long-Range Transformers with Unlimited Length Input
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"}
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。