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 391 篇,第 2 / 8 页
- NeurIPS 2026Dynamic Regulatory Graph Learning for Histology-to-Spatial Transcriptomics
- NeurIPS 2026Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization
- NeurIPS 2026Exact Regular-Constrained Sampling for Variable-Order Markov Generation
- NeurIPS 2026Expanding Flow Maps
- NeurIPS 2026Exposing Private Corpus Leakage in Multimodal RAG
- NeurIPS 2026FACBench: A Benchmark for Formal-Anchor Collisions in Multilingual Mathematical Grounding
- NeurIPS 2026Fast 4D Mesh Generation by Spatio-Temporal Attention Chains
- NeurIPS 2026Feeling of Knowing in Large Language Models
- NeurIPS 2026Firefly: Illuminating Verified Real-world Tool Call Data Generation
- NeurIPS 2026FlyAOC: Evaluating Agentic Ontology Curation of Drosophila Scientific Knowledge Bases
- NeurIPS 2026FracTS: Hierarchical and Autoregressive Time Series Generation
- NeurIPS 2026G-Zero: Self-Play for Open-Ended Generation from Zero Data
- NeurIPS 2026Generating the Unheard: Phylogeny-Guided Latent Generation for Ancestral Sound Reconstruction
- NeurIPS 2026Generation-Drift-Guided Block Pruning for Large Language Models
- NeurIPS 2026GeoFidelity-Bench: Evaluating Block-Conditioned Geographic Fidelity in Text-to-Image Street-View Generation
- NeurIPS 2026Geometric Gain Graph: Zero-Token Graph Construction for Multi-Hop RAG
- NeurIPS 2026Gradient Boosted Trees for Retrieval-Augmented Generation
- NeurIPS 2026GraphInstruct: A Progressive Benchmark for Diagnosing Capability Gaps in LLM Graph Generation
- NeurIPS 2026GRINQH: Graded Input-based Quantization Hierarchy for Efficient LLM Generation
- NeurIPS 2026Group of Skills: Group-Structured Skill Retrieval for Agent Skill Libraries
- NeurIPS 2026Half-Truths Break Similarity-Based Retrieval
- NeurIPS 2026HalluWorld: A Controlled Benchmark for Hallucination via Reference World Models
- NeurIPS 2026HALO: Homotopy-Augmented Layer Optimization for Stable LLM Supervised Post-training
- NeurIPS 2026HARMONY: Hierarchical Anchor Retrieval on Manifold for Oblivious-source Acoustic Anomaly Detection
- NeurIPS 2026How Data Augmentation Shapes Neural Representations
- NeurIPS 2026How Much Evidence Should Retrieval-Augmented In-Context Learning Use Under Distribution Shift?
- NeurIPS 2026Hypothesis generation and updating in large language models
- NeurIPS 2026I-PTC: Interactive Programmatic Tool Calling for Stateful Tool-Augmented Agents
- NeurIPS 2026IADR: Interface-Augmented Neural Operator for Phase-Field Mean-Curvature Flow
- NeurIPS 2026In-Context Optimization for Retrieval-Augmented Generation: A Gradient-Descent Perspective
- NeurIPS 2026Incentivizing Agentic Retrieval for Disease-Centric Clinical Case Search via Trajectory Memory
- NeurIPS 2026IndustryCode: A Benchmark for Industry Code Generation
- NeurIPS 2026Inferential Theory of Learning as a Framework for Test-Time Computation in Foundation Models
- NeurIPS 2026Invisible Ink, Visible Lies: How Production Watermarking Causes LLMs to Hallucinate
- NeurIPS 2026Is Dimensionality a Barrier for Retrieval Models?
- NeurIPS 2026Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE
- NeurIPS 2026Knowing What is Missing: Efficient Conversational Memory via Explicit Evidence-Gap Tracking
- NeurIPS 2026KVFocus: A Perturbation-Theoretic Token-Risk Score for Selective KV Cache Reuse in RAG
- NeurIPS 2026Latent Abstraction for Retrieval-Augmented Generation
- NeurIPS 2026LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving
- NeurIPS 2026Learning Augmented Exact Exponential Algorithms
- NeurIPS 2026Learning-Augmented Approximation for Unrelated-Machines Makespan Scheduling
- NeurIPS 2026Learning-Augmented Online Scheduling with Parsimonious Preemption
- NeurIPS 2026Less Evidence, Better Answering: Gain-Aware Minimal Evidence Subset Selection for Medical QA
- NeurIPS 2026Listening to the Retriever: Perturbation-Sensitive Question Selection for Interactive Person Retrieval
- NeurIPS 2026LOCO: Local Light-Aware Object Compositing with Spatially Varying Illumination-Augmented Data
- NeurIPS 2026LogicTree-RAG: Logic Tree-guided Retrieval-Augmented Generation for Long-form Patent Drafting
- NeurIPS 2026Logit-Contribution Scoring Identifies Non-Literal Retrieval Heads
- NeurIPS 2026LogSTOP: Temporal Scores over Prediction Sequences for Matching and Retrieval
- NeurIPS 2026LongMINT: Evaluating Memory under Multi-Target Interference in Long-Horizon Agent Systems
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。