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 183 篇，第 2 / 4 页

51. ICLR 2024Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts
52. ICLR 2024Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders
53. ICLR 2024AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images
54. ICLR 2024AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
55. ICLR 2024BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models
56. ICLR 2024CAMBranch: Contrastive Learning with Augmented MILPs for Branching
57. ICLR 2024Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization
58. ICLR 2024Conversational Drug Editing Using Retrieval and Domain Feedback
59. ICLR 2024Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation
60. ICLR 2024EventRPG: Event Data Augmentation with Relevance Propagation Guidance
61. ICLR 2024Fake It Till Make It: Federated Learning with Consensus-Oriented Generation
62. ICLR 2024Graph Generation with $K^2$-trees
63. ICLR 2024KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
64. ICLR 2024Learning Performance-Improving Code Edits
65. ICLR 2024LLM Augmented LLMs: Expanding Capabilities through Composition
66. ICLR 2024Making Retrieval-Augmented Language Models Robust to Irrelevant Context
67. ICLR 2024Mean Field Theory in Deep Metric Learning
68. ICLR 2024MixSATGEN: Learning Graph Mixing for SAT Instance Generation
69. ICLR 2024Neural Architecture Retrieval
70. ICLR 2024RA-DIT: Retrieval-Augmented Dual Instruction Tuning
71. ICLR 2024RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
72. ICLR 2024RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation
73. ICLR 2024ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion
74. ICLR 2024Retrieval is Accurate Generation
75. ICLR 2024Retrieval meets Long Context Large Language Models
76. ICLR 2024Retrieval-based Disentangled Representation Learning with Natural Language Supervision
77. ICLR 2024Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation
78. ICLR 2024Scaling Supervised Local Learning with Augmented Auxiliary Networks
79. ICLR 2024Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
80. ICLR 2024SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
81. ICLR 2024TabR: Tabular Deep Learning Meets Nearest Neighbors
82. ICLR 2024Tree Cross Attention
83. ICLR 2024Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency
84. ICML 2024A Statistical Framework for Data-dependent Retrieval-Augmented Models
85. ICML 2024Accelerating Iterative Retrieval-augmented Language Model Serving with Speculation
86. ICML 2024ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation
87. ICML 2024Adaptive Stabilization Based on Machine Learning for Column Generation
88. ICML 2024Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning
89. ICML 2024Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation
90. ICML 2024Behavior Generation with Latent Actions
91. ICML 2024Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT
92. ICML 2024BetterV: Controlled Verilog Generation with Discriminative Guidance
93. ICML 2024Bottleneck-Minimal Indexing for Generative Document Retrieval
94. ICML 2024C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models
95. ICML 2024Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
96. ICML 2024Cluster-Aware Similarity Diffusion for Instance Retrieval
97. ICML 2024Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
98. ICML 2024Collaborative Learning with Different Labeling Functions
99. ICML 2024Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval
100. ICML 2024Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes

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。