检索增强生成论文趋势 2023–2026

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。

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 129 篇，第 3 / 3 页

101. ICLR 2026Reusing Pre-Training Data at Test Time is a Compute Multiplier
102. ICLR 2026Safeguarding Multimodal Knowledge Copyright in the RAG-as-a-Service Environment
103. ICLR 2026Sat3DGen: Comprehensive Street-Level 3D Scene Generation from Single Satellite Image
104. ICLR 2026Search Self-Play: Pushing the Frontier of Agent Capability without Supervision
105. ICLR 2026Seq vs Seq: An Open Suite of Paired Encoders and Decoders
106. ICLR 2026ShapeGen4D: Towards High Quality 4D Shape Generation from Videos
107. ICLR 2026Silent Leaks: Implicit Knowledge Extraction Attack on RAG Systems
108. ICLR 2026SmartChunk Retrieval: Query-Aware Chunk Compression with Planning for Efficient Document RAG
109. ICLR 2026StyliTruth : Unlocking Stylized yet Truthful LLM Generation via Disentangled Steering
110. ICLR 2026SWINGARENA: Adversarial Programming Arena for Long-context GitHub Issue Solving
111. ICLR 2026SynthWorlds: Controlled Parallel Worlds for Disentangling Reasoning and Knowledge in Language Models
112. ICLR 2026Token-Guard: Towards Token-Level Hallucination Control via Self-Checking Decoding
113. ICLR 2026TokMem: Tokenized Procedural Memory for Large Language Models
114. ICLR 2026ToolWeaver: Weaving Collaborative Semantics for Scalable Tool Use in Large Language Models
115. ICLR 2026Topology Matters in RTL Circuit Representation Learning
116. ICLR 2026Topology of Reasoning: Retrieved Cell Complex-Augmented Generation for Textual Graph Question Answering
117. ICLR 2026Topology-Preserved Auto-regressive Mesh Generation in the Manner of Weaving Silk
118. ICLR 2026Toward Faithful Retrieval-Augmented Generation with Sparse Autoencoders
119. ICLR 2026Towards Knowledge‑and‑Data‑Driven Organic Reaction Prediction: RAG‑Enhanced and Reasoning‑Powered Hybrid System with LLMs
120. ICLR 2026U-MARVEL: Unveiling Key Factors for Universal Multimodal Retrieval via Embedding Learning with MLLMs
121. ICLR 2026Uncertainty as Feature Gaps: Epistemic Uncertainty Quantification of LLMs in Contextual Question-Answering
122. ICLR 2026Unified Biomolecular Trajectory Generation via Pretrained Variational Bridge
123. ICLR 2026Unified Multi-Modal Interactive and Reactive 3D Motion Generation via Rectified Flow
124. ICLR 2026Video-As-Prompt: Unified Semantic Control for Video Generation
125. ICLR 2026WebSeer: Training Deeper Search Agents through Reinforcement Learning with Self-Reflection
126. ICLR 2026Welfarist Formulations for Diverse Similarity Search
127. ICLR 2026When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation
128. ICLR 2026Your Language Model Secretly Contains Personality Subnetworks
129. ICLR 2026Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning

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。