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 1,200 篇,第 16 / 24 页
- ICML 2025Locality Preserving Markovian Transition for Instance Retrieval
- ICML 2025MOGIC: Metadata-infused Oracle Guidance for Improved Extreme Classification
- ICML 2025Near-Optimal Consistency-Robustness Trade-Offs for Learning-Augmented Online Knapsack Problems
- ICML 2025Neural Graph Matching Improves Retrieval Augmented Generation in Molecular Machine Learning
- ICML 2025On the Power of Learning-Augmented Search Trees
- ICML 2025On the Query Complexity of Verifier-Assisted Language Generation
- ICML 2025On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains
- ICML 2025Pareto-Optimality, Smoothness, and Stochasticity in Learning-Augmented One-Max-Search
- ICML 2025PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation
- ICML 2025PoisonedEye: Knowledge Poisoning Attack on Retrieval-Augmented Generation based Large Vision-Language Models
- ICML 2025POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval
- ICML 2025Position: Retrieval-augmented systems can be dangerous medical communicators
- ICML 2025QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval
- ICML 2025RAGGED: Towards Informed Design of Scalable and Stable RAG Systems
- ICML 2025RAPID: Long-Context Inference with Retrieval-Augmented Speculative Decoding
- ICML 2025Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger
- ICML 2025RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning
- ICML 2025Retrieval Augmented Time Series Forecasting
- ICML 2025Retrieval Augmented Zero-Shot Enzyme Generation for Specified Substrate
- ICML 2025Retrieval-Augmented Language Model for Knowledge-aware Protein Encoding
- ICML 2025Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG
- ICML 2025SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models
- ICML 2025SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval
- ICML 2025SHE: Streaming-media Hashing Retrieval
- ICML 2025SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs
- ICML 2025STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization
- ICML 2025Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
- ICML 2025Tool Unlearning for Tool-Augmented LLMs
- ICML 2025Understanding Synthetic Context Extension via Retrieval Heads
- NeurIPS 2025A Learning-Augmented Approach to Online Allocation Problems
- NeurIPS 2025A Unified Framework for Fair Graph Generation: Theoretical Guarantees and Empirical Advances
- NeurIPS 2025AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play
- NeurIPS 2025AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding
- NeurIPS 2025AgentAuditor: Human-level Safety and Security Evaluation for LLM Agents
- NeurIPS 2025AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems
- NeurIPS 2025AR-RAG: Autoregressive Retrieval Augmentation for Image Generation
- NeurIPS 2025Automatic Synthetic Data and Fine-grained Adaptive Feature Alignment for Composed Person Retrieval
- NeurIPS 2025Benchmarking Retrieval-Augmented Multimomal Generation for Document Question Answering
- NeurIPS 2025Bidirectional Motion Transformer for Safety-Critical Traffic Scenario Generation
- NeurIPS 2025Bidirectional Representations Augmented Autoregressive Biological Sequence Generation: Application in De Novo Peptide Sequencing
- NeurIPS 2025Boosting Knowledge Utilization in Multimodal Large Language Models via Adaptive Logits Fusion and Attention Reallocation
- NeurIPS 2025C-SEO Bench: Does Conversational SEO Work?
- NeurIPS 2025Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?
- NeurIPS 2025Chain-of-Retrieval Augmented Generation
- NeurIPS 2025Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks
- NeurIPS 2025Combinatorial Ski Rental Problem: Robust and Learning-Augmented Algorithms
- NeurIPS 2025Compress & Cache: Vision token compression for efficient generation and retrieval
- NeurIPS 2025Conflict-Aware Knowledge Editing in the Wild: Semantic-Augmented Graph Representation for Unstructured Text
- NeurIPS 2025Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers
- NeurIPS 2025CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive Programming
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。