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 1 / 3 页

1. ICLR 2026A Dense Subset Index for Collective Query Coverage
2. ICLR 2026AdaCache: Adaptive Caching and Context Augmentation for Efficient LLM Serving
3. ICLR 2026AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations
4. ICLR 2026Any-step Generation via N-th Order Recursive Consistent Velocity Field Estimation
5. ICLR 2026Aria: an Agent for Retrieval and Iterative Auto-Formalization via Dependency Graph
6. ICLR 2026AssetFormer: Modular 3D Assets Generation with Autoregressive Transformer
7. ICLR 2026AssoMem: Scalable Memory QA with Multi-Signal Associative Retrieval
8. ICLR 2026ATLAS: Alibaba Dataset and Benchmark for Learning-Augmented Scheduling
9. ICLR 2026AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM
10. ICLR 2026Attributing Response to Context: A Jensen–Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented Generation
11. ICLR 2026Automated Formalization via Conceptual Retrieval-Augmented LLMs
12. ICLR 2026Better Learning-Augmented Spanning Tree Algorithms via Metric Forest Completion
13. ICLR 2026Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs
14. ICLR 2026Beyond RAG vs. Long-Context: Learning Distraction-Aware Retrieval for Efficient Knowledge Grounding
15. ICLR 2026BrowseNet: Knowledge Graph-Based Associative Memory for Contextual Information Retrieval
16. ICLR 2026CFT-RAG: An Entity Tree Based Retrieval Augmented Generation Algorithm With Cuckoo Filter
17. ICLR 2026ChronoPlay: A Framework for Modeling Dual Dynamics and Authenticity in Game RAG Benchmarks
18. ICLR 2026Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models
19. ICLR 2026CLAUSE: Agentic Neuro-Symbolic Knowledge Graph Reasoning via Dynamic Learnable Context Engineering
20. ICLR 2026CodeGenGuard: A Robust Watermark for Code Generation Models
21. ICLR 2026Completing Missing Annotation: Multi-Agent Debate for Accurate and Scalable Relevant Assessment for IR Benchmarks
22. ICLR 2026Copy-Paste to Mitigate Large Language Model Hallucinations
23. ICLR 2026Counterfactual Reasoning for Retrieval-Augmented Generation
24. ICLR 2026Deep Global-sense Hard-negative Discriminative Generation Hashing for Cross-modal Retrieval
25. ICLR 2026DeepRAG: Thinking to Retrieve Step by Step for Large Language Models
26. ICLR 2026Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents
27. ICLR 2026Demystifying Deep Search: A Holistic Evaluation with Hint-free Multi-Hop Questions and Factorised Metrics
28. ICLR 2026Difference-Aware Retrieval Polices for Imitation Learning
29. ICLR 2026Distill-SynthKG: Distilling Knowledge Graph Synthesis Workflow for Improved Coverage and Efficiency
30. ICLR 2026DRIFT: Decompose, Retrieve, Illustrate, then Formalize Theorems
31. ICLR 2026Eigen-1: Scientific Reasoning through Adaptive Multi-Agent Refinement and Monitor-based RAG
32. ICLR 2026Embedding-Based Context-Aware Reranker
33. ICLR 2026Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval
34. ICLR 2026Error Notebook-Guided, Training-Free Part Retrieval in 3D CAD Assemblies via Vision-Language Models
35. ICLR 2026Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions
36. ICLR 2026Fast Proteome-Scale Protein Interaction Retrieval via Residue-Level Factorization
37. ICLR 2026FHE-Coder: Secure Agentic Code Generation for Fully Homomorphic Encryption
38. ICLR 2026FilMaster: Bridging Cinematic Principles and Generative AI for Automated Film Generation
39. ICLR 2026Fine-Grained Privacy Extraction from Retrieval-Augmented Generation Systems by Exploiting Knowledge Asymmetry
40. ICLR 2026From Large to Small: Transferring CUDA Optimization Expertise via Reasoning Graph
41. ICLR 2026From Single to Multi-Granularity: Toward Long-Term Memory Association and Selection of Conversational Agents
42. ICLR 2026FrugalRAG: Less is More in RL Finetuning for Multi-hop Question Answering
43. ICLR 2026Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks
44. ICLR 2026FutureFill: Fast Generation from Convolutional Sequence Models
45. ICLR 2026G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge
46. ICLR 2026GPS: Directed Acyclic Graph guided Proactive Information Seeking in Large Language Models
47. ICLR 2026Graph-based Nearest Neighbors with Dynamic Updates via Random Walks
48. ICLR 2026GRO-RAG: Gradient-aware Re-rank Optimization for Multi-source Retrieval-Augmented Generation
49. ICLR 2026Guided Query Refinement: Multimodal Hybrid Retrieval with Test-Time Optimization
50. ICLR 2026Hierarchical Encoding Tree with Modality Mixup for Cross-modal Hashing

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。