稠密检索论文趋势 2023–2026
双塔与 ANN
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 401 篇被归入该主题的论文。
主要结论
- 稠密检索论文从 2023 年的 60 篇增长到 2026 年的 162 篇,三年间扩大到约 2.7 倍。
- CVPR 是发稠密检索论文最多的会议,2023–2026 年共 147 篇,占四个会议总量的 37%。
- 交叉方向里涨得最快的是检索记忆:同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 21 篇。
- 在「信息检索」的 5 个主题里,它的 2026 年论文数排第 1;同组增长最快的交叉编码重排是 3.0 倍,稠密检索是 2.7 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 6 | 12 | 8 | 34 | 60 |
| 2024 | 23 | 14 | 22 | 33 | 92 |
| 2025 | 35 | 12 | 10 | 30 | 87 |
| 2026 | 51 | 26 | 35 | 50 | 162 |
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 2026Half-Truths Break Similarity-Based Retrieval
- ICML 2026Deep Discriminative Structure Proxy Hashing for Cross-modal Retrieval
- ICLR 2026A Dense Subset Index for Collective Query Coverage
- CVPR 2026Beyond Caption-Based Queries in Video Moment Retrieval
- NeurIPS 2025Dense Associative Memory with Epanechnikov Energy
- ICML 2025Nonparametric Modern Hopfield Models
- ICLR 2025Contextual Document Embeddings
- CVPR 2025Adapting Dense Matching for Homography Estimation with Grid-based Acceleration
- NeurIPS 2024CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes
- ICML 2024Compute Better Spent: Replacing Dense Layers with Structured Matrices
- ICLR 2024Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders
- CVPR 2024Dense Optical Tracking: Connecting the Dots
- NeurIPS 2023Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes
- ICML 2023Everyone's Preference Changes Differently: A Weighted Multi-Interest Model For Retrieval
- ICLR 2023Automating Nearest Neighbor Search Configuration with Constrained Optimization
- CVPR 2023Are Binary Annotations Sufficient? Video Moment Retrieval via Hierarchical Uncertainty-Based Active Learning
- NeurIPS 2026Hyperparameter Transfer for Dense Associative Memories
- ICML 2026Dense associative memory for Gaussian distributions
- ICLR 2026Beyond Instance-Level Alignment: Dual-Level Optimal Transport for Audio-Text Retrieval
- CVPR 2026Beyond Tie Points Satellite Image Block Adjustment based on Dense
全部稠密检索论文
共 64 篇,第 1 / 2 页
- ICLR 2026A Biologically Plausible Dense Associative Memory with Exponential Capacity
- ICLR 2026A Dense Subset Index for Collective Query Coverage
- ICLR 2026Avey-B
- ICLR 2026Beyond Instance-Level Alignment: Dual-Level Optimal Transport for Audio-Text Retrieval
- ICLR 2026Beyond Sequential Reranking: Reranker-Guided Search Improves Reasoning Intensive Retrieval
- ICLR 2026Dynamical properties of dense associative memory
- ICLR 2026Efficient Discriminative Joint Encoders for Large Scale Vision-Language Reranking
- ICLR 2026Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval
- ICLR 2026Fast Escape, Slow Convergence: Learning Dynamics of Phase Retrieval under Power-Law Data
- ICLR 2026Fast Proteome-Scale Protein Interaction Retrieval via Residue-Level Factorization
- ICLR 2026Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks
- ICLR 2026Grasp Any Region: Prompting MLLM to Understand the Dense World
- ICLR 2026Guided Query Refinement: Multimodal Hybrid Retrieval with Test-Time Optimization
- ICLR 2026Hybrid Reinforcement: when reward is sparse, better to be dense
- ICLR 2026Knowledge Externalization: Reversible Unlearning and Modular Retrieval in Multimodal Large Language Models
- ICLR 2026LightRetriever: A LLM-based Text Retrieval Architecture with Extremely Faster Query Inference
- ICLR 2026LouisKV: Efficient KV Cache Retrieval for Long Input-Output Sequences
- ICLR 2026MILCO: Learned Sparse Retrieval Across Languages via a Multilingual Connector
- ICLR 2026Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource
- ICLR 2026On the Theoretical Limitations of Embedding-Based Retrieval
- ICLR 2026Pisces: Cryptography-based Private Retrieval-Augmented Generation with Dual-Path Retrieval
- ICLR 2026RAEE: A Robust Retrieval-Augmented Early Exit Framework for Efficient Inference
- ICLR 2026Revela: Dense Retriever Learning via Language Modeling
- ICLR 2026Seq vs Seq: An Open Suite of Paired Encoders and Decoders
- ICLR 2026SPRINT: Sparse-Dense Residual Fusion for Efficient Diffusion Transformers
- ICLR 2026Tools are under-documented: Simple Document Expansion Boosts Tool Retrieval
- ICLR 2025Beyond Content Relevance: Evaluating Instruction Following in Retrieval Models
- ICLR 2025Contextual Document Embeddings
- ICLR 2025CR2PQ: Continuous Relative Rotary Positional Query for Dense Visual Representation Learning
- ICLR 2025Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval
- ICLR 2025Making Transformer Decoders Better Differentiable Indexers
- ICLR 2025Memory Efficient Transformer Adapter for Dense Predictions
- ICLR 2025MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents
- ICLR 2025NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval
- ICLR 2025ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing
- ICLR 2025Retrieval Head Mechanistically Explains Long-Context Factuality
- ICLR 2025The Journey Matters: Average Parameter Count over Pre-training Unifies Sparse and Dense Scaling Laws
- ICLR 2025Youku Dense Caption: A Large-scale Chinese Video Dense Caption Dataset and Benchmarks
- ICLR 2024A Fast and Provable Algorithm for Sparse Phase Retrieval
- ICLR 2024Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders
- ICLR 2024BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models
- ICLR 2024Diffusion Model for Dense Matching
- ICLR 2024Dual-Encoders for Extreme Multi-label Classification
- ICLR 2024Learning to Act from Actionless Videos through Dense Correspondences
- ICLR 2024Making Retrieval-Augmented Language Models Robust to Irrelevant Context
- ICLR 2024Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning
- ICLR 2024Neural Architecture Retrieval
- ICLR 2024RA-DIT: Retrieval-Augmented Dual Instruction Tuning
- ICLR 2024RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
- ICLR 2024Retrieval meets Long Context Large Language Models
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 查稠密检索在 CVPR 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": "dense-retrieval"}
常见问题
- 2023–2026 年四大会议一共有多少篇稠密检索论文?
- 共 401 篇,按年份分别是 2023 年 60 篇、2024 年 92 篇、2025 年 87 篇、2026 年 162 篇。
- NeurIPS 2026 有多少篇稠密检索论文?
- NeurIPS 2026 有 51 篇稠密检索论文,上一届是 35 篇。
- ICLR 2026 有多少篇稠密检索论文?
- ICLR 2026 有 26 篇稠密检索论文,上一届是 12 篇。
- ICML 2026 有多少篇稠密检索论文?
- ICML 2026 有 35 篇稠密检索论文,上一届是 10 篇。
- CVPR 2026 有多少篇稠密检索论文?
- CVPR 2026 有 50 篇稠密检索论文,上一届是 30 篇。
- 哪个会议的稠密检索论文最多?
- CVPR,2023–2026 年共 147 篇。