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 366 篇，第 7 / 8 页
- NeurIPS 2025MetaDefense: Defending Fine-tuning based Jailbreak Attack Before and During Generation
- NeurIPS 2025MetaFind: Scene-Aware 3D Asset Retrieval for Coherent Metaverse Scene Generation
- NeurIPS 2025MIR-Bench: Can Your LLM Recognize Complicated Patterns via Many-Shot In-Context Reasoning?
- NeurIPS 2025Mitigating Semantic Collapse in Partially Relevant Video Retrieval
- NeurIPS 2025MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly
- NeurIPS 2025MomentSeeker: A Task-Oriented Benchmark For Long-Video Moment Retrieval
- NeurIPS 2025MoodAngels: A Retrieval-augmented Multi-agent Framework for Psychiatry Diagnosis
- NeurIPS 2025MotionBind: Multi-Modal Human Motion Alignment for Retrieval, Recognition, and Generation
- NeurIPS 2025MotionRAG: Motion Retrieval-Augmented Image-to-Video Generation
- NeurIPS 2025MS-Bench: Evaluating LMMs in Ancient Manuscript Study through a Dunhuang Case Study
- NeurIPS 2025MV-CoLight: Efficient Object Compositing with Consistent Lighting and Shadow Generation
- NeurIPS 2025NeuroGenPoisoning: Neuron-Guided Attacks on Retrieval-Augmented Generation of LLM via Genetic Optimization of External Knowledge
- NeurIPS 2025NeuroPath: Neurobiology-Inspired Path Tracking and Reflection for Semantically Coherent Retrieval
- NeurIPS 2025NFIG: Multi-Scale Autoregressive Image Generation via Frequency Ordering
- NeurIPS 2025Optimizing Retrieval for RAG via Reinforced Contrastive Learning
- NeurIPS 2025PANDA: Towards Generalist Video Anomaly Detection via Agentic AI Engineer
- NeurIPS 2025ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation
- NeurIPS 2025Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
- NeurIPS 2025QiMeng-MuPa: Mutual-Supervised Learning for Sequential-to-Parallel Code Translation
- NeurIPS 2025RAD: Towards Trustworthy Retrieval-Augmented Multi-modal Clinical Diagnosis
- NeurIPS 2025RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering
- NeurIPS 2025RAG4GFM: Bridging Knowledge Gaps in Graph Foundation Models through Graph Retrieval Augmented Generation
- NeurIPS 2025RAGRouter: Learning to Route Queries to Multiple Retrieval-Augmented Language Models
- NeurIPS 2025Reconciling Geospatial Prediction and Retrieval via Sparse Representations
- NeurIPS 2025Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning
- NeurIPS 2025REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing
- NeurIPS 2025ReliabilityRAG: Effective and Provably Robust Defense for RAG-based Web-Search
- NeurIPS 2025Reliable Decision‑Making via Calibration‑Oriented Retrieval‑Augmented Generation
- NeurIPS 2025Reliable Lifelong Multimodal Editing: Conflict-Aware Retrieval Meets Multi-Level Guidance
- NeurIPS 2025ReMindRAG: Low-Cost LLM-Guided Knowledge Graph Traversal for Efficient RAG
- NeurIPS 2025ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
- NeurIPS 2025Retrieval is Not Enough: Enhancing RAG through Test-Time Critique and Optimization
- NeurIPS 2025RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
- NeurIPS 2025Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information Foraging
- NeurIPS 2025Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented Reasoning
- NeurIPS 2025SeCon-RAG: A Two-Stage Semantic Filtering and Conflict-Free Framework for Trustworthy RAG
- NeurIPS 2025Seeking and Updating with Live Visual Knowledge
- NeurIPS 2025SGAR: Structural Generative Augmentation for 3D Human Motion Retrieval
- NeurIPS 2025Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular Diversity
- NeurIPS 2025Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks
- NeurIPS 2025SpecMER: Fast Protein Generation with K-mer Guided Speculative Decoding
- NeurIPS 2025Spotlight Attention: Towards Efficient LLM Generation via Non-linear Hashing-based KV Cache Retrieval
- NeurIPS 2025SRA-CL: Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
- NeurIPS 2025SSRB: Direct Natural Language Querying to Massive Heterogeneous Semi-Structured Data
- NeurIPS 2025STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization
- NeurIPS 2025SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning
- NeurIPS 2025TEMPO: Temporal Multi-scale Autoregressive Generation of Protein Conformational Ensembles
- NeurIPS 2025The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation
- NeurIPS 2025Towards A Generalist Code Embedding Model Based On Massive Data Synthesis
- NeurIPS 2025Towards Better & Faster Autoregressive Image Generation: From the Perspective of Entropy
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。