Billion-scale similarity search with GPUs

Cited by (1,030)

Items 501–600 of 1,030

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   Paul J. Lerner, Olivier Ferret, Camille Guinaudeau, Hervé Le Borgne, Romaric Besançon, José G. Moreno, Jesús Lovón-Melgarejo · 2022 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
2. IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System
   Xiangyang Li, Bo Chen, Huifeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao et al. · 2022 · ACM International Conference on Information and Knowledge Management (CIKM)
3. Aggretriever: A Simple Approach to Aggregate Textual Representations for Robust Dense Passage Retrieval
   Sheng-Chieh Lin, Minghan Li, Jimmy Lin · 2023 · Transactions of the Association for Computational Linguistics
4. nanoDoc: RNA modification detection using Nanopore raw reads with Deep One-Class Classification
   Hiroki Ueda · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
5. EntQA: Entity Linking as Question Answering
   Wenzheng Zhang, Wenyue Hua, Karl Stratos · 2021 · arXiv (Cornell University)
6. RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models
   Van Veen, Dave, Van Uden, Cara, Attias, Maayane, Pareek, Anuj, Bluethgen, Christian, Polacin, Malgorzata, Chiu, Wah, Delbrouck, Jean-Benoit, Zambrano Chaves, Juan, Langlotz, Curtis et al. · 2023 · The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks
7. Semantic-Enhanced Image Clustering
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8. A Geometric Framework for Query Performance Prediction in Conversational Search
   Guglielmo Faggioli, Nicola Ferro, Cristina Ioana Muntean, Raffaele Perego, Nicola Tonellotto · 2023 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
9. Vector Databases and Vector Embeddings-Review
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10. NoteLLM: A Retrievable Large Language Model for Note Recommendation
    Chao Zhang, Shiwei Wu, Haoxin Zhang, Tong Xu, Yan Fang Gao, Yao Hu, Enhong Chen · 2024 · International World Wide Web Conference (WWW)
11. X-Lifecycle Learning for Cloud Incident Management using LLMs
    Drishti Goel, Fiza Husain, Aditya Singh, Supriyo Ghosh, Anjaly Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan · 2024 · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE)
12. UniIR: Training and Benchmarking Universal Multimodal Information Retrievers
    Cong Wei, Yang Chen, Haonan Chen, Hexiang Hu, Ge Zhang, Jie Fu, Alan Ritter, Wenhu Chen · 2024 · Lecture notes in computer science
13. Cross-Modal Retrieval Augmentation for Multi-Modal Classification
    Shir Gur, Natalia Neverova, Chris Stauffer, Ser-Nam Lim, Douwe Kiela, Austin Reiter · 2021 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
14. Generalizable coordination of large multiscale workflows
    Harsh Bhatia, Francesco Di Natale, Joseph Y. Moon, Xiaohua Zhang, Joseph R. Chavez, Fikret Aydin, Christopher B. Stanley, Tomas Oppelstrup, Chris Neale, Sara I. L. Kokkila-Schumacher et al. · 2021 · International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
15. Flow Moods: Recommending Music by Moods on Deezer
    Théo Bontempelli, Benjamin Chapus, François Rigaud, Mathieu Morlon, Marin Lorant, Guillaume Salha-Galvan · 2022 · ACM Conference on Recommender Systems (RecSys)
16. How Does Generative Retrieval Scale to Millions of Passages?
    Ronak Pradeep, Kai Hui, Jai Prakash Gupta, Adam D. Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Tran · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
17. DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search
    Shulin Zeng, Zhenhua Zhu, Jun Liu, Haoyu Zhang, Guohao Dai, Zixuan Zhou, Shuangchen Li, Xuefei Ning, Yuan Xie, Huazhong Yang et al. · 2023 · IEEE/ACM International Symposium on Microarchitecture (MICRO)
18. DelucionQA: Detecting Hallucinations in Domain-specific Question Answering
    Mobashir Sadat, Zhengyu Zhou, Lukas Lange, Jun Araki, Arsalan Gundroo, Bingqing Wang, Rakesh R. Menon, Md Rizwan Parvez, Zhe Feng · 2023 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
19. Retrieval-based Evaluation for LLMs: A Case Study in Korean Legal QA
    Cheol Ryu, Seolhwa Lee, Subeen Pang, Chanyeol Choi, Hojun Choi, Myeonggee Min, Jy-yong Sohn · 2023 · Natural Legal Language Processing Workshop (NLLP)
20. Vexless: A Serverless Vector Data Management System Using Cloud Functions
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21. Are There Fundamental Limitations in Supporting Vector Data Management in Relational Databases? A Case Study of PostgreSQL
    Yunan Zhang, Shige Liu, Jianguo Wang · 2024 · IEEE International Conference on Data Engineering (ICDE)
22. Unsupervised Parallel Sentence Extraction with Parallel Segment Detection Helps Machine Translation
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23. Pyramid: A General Framework for Distributed Similarity Search on Large-scale Datasets
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24. Unsupervised Bitext Mining and Translation via Self-Trained Contextual Embeddings
    Phillip Keung, Julián Salazar, Yichao Lu, Noah A. Smith · 2020 · Transactions of the Association for Computational Linguistics
25. The role of local dimensionality measures in benchmarking nearest neighbor search
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26. Database reasoning over text
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27. xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering
    Nan Yang, Furu Wei, Binxing Jiao, Daxin Jiang, Linjun Yang · 2021
28. More Robust Dense Retrieval with Contrastive Dual Learning
    Yizhi Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu · 2021 · ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR)
29. EVOLIoT
    Mirabelle Dib, Sadegh Torabi, Elias Bou‐Harb, Nizar Bouguila, Chadi M. Assi · 2022 · ACM Asia Conference on Computer and Communications Security (ASIA CCS)
30. VarCLR
    Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Graham Neubig, Bogdan Vasilescu, Claire Le Goues · 2022 · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
31. GPU-accelerated Proximity Graph Approximate Nearest Neighbor Search and Construction
    Yuanhang Yu, Wen Dong, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin · 2022 · IEEE International Conference on Data Engineering (ICDE)
32. BioReader: a Retrieval-Enhanced Text-to-Text Transformer for Biomedical Literature
    Giacomo Frisoni, Miki Mizutani, Gianluca Moro, Lorenzo Valgimigli · 2022 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
33. Large-scale Landmark Retrieval/Recognition under a Noisy and Diverse Dataset
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34. Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations
    Jimmy Lin, Xueguang Ma, Lin, Sheng-Chieh, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Frassetto Nogueira · 2021 · arXiv (Cornell University)
35. A Replication Study of Dense Passage Retriever
    Xueguang Ma, Kai Sun, Ronak Pradeep, Jimmy Lin · 2021 · arXiv (Cornell University)
36. Intelligent Practices of Large Language Models in Digital Government Services
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37. RA-CFGPT: Chinese financial assistant with retrieval-augmented large language model
    Jiangtong Li, Yang Lei, Yuxuan Bian, Dawei Cheng, Zhijun Ding, Changjun Jiang · 2024 · Frontiers of Computer Science
38. Shelf Management: A deep learning-based system for shelf visual monitoring
    Rocco Pietrini, Marina Paolanti, Adriano Mancini, Emanuele Frontoni, Primo Zingaretti · 2024 · Expert Systems with Applications
39. MiLoPYP: self-supervised molecular pattern mining and particle localization in situ
    Qinwen Huang, Ye Zhou, Alberto Bartesaghi · 2024 · Nature Methods
40. Emerging trends: a gentle introduction to RAG
    Kenneth Church, Jiameng Sun, Richard Yue, Peter Vickers, Walid Saba, Raman Chandrasekar · 2024 · Natural Language Engineering
41. Improving knowledge management in building engineering with hybrid retrieval-augmented generation framework
    Zhiqi Wang, Zhongcun Liu, Jane W. Z. Lu, Jia Hai Lu · 2025 · Journal of Building Engineering
42. Intent-aware Diffusion with Contrastive Learning for Sequential Recommendation
    Yuanpeng Qu, Hajime Nobuhara · 2025 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
43. HONeYBEE: enabling scalable multimodal AI in oncology through foundation model-driven embeddings
    Aakash Gireesh Tripathi, Asim Waqas, Matthew B. Schabath, Yasin Yılmaz, Ghulam Rasool · 2025 · npj Digital Medicine
44. Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization
    Siyuan Qiao, Zhe Lin, Jianming Zhang, Alan Yuille · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
45. Randomized Algorithms Accelerated over CPU-GPU for Ultra-High Dimensional Similarity Search
    Yiqiu Wang, Anshumali Shrivastava, Jonathan Wang, Junghee Ryu · 2018 · ACM SIGMOD International Conference on Management of Data (SIGMOD)
46. SHREC 2020: 3D point cloud semantic segmentation for street scenes
    Tao Ku, Remco C. Veltkamp, Bas Boom, David Duque-Arias, Santiago Velasco-Forero, Jean‐Emmanuel Deschaud, François Goulette, Beatriz Marcotegui, Sebastián Ortega, Agustín Trujillo et al. · 2020 · Computers & Graphics
47. Improving Evidence Retrieval for Automated Explainable Fact-Checking
    Chris Samarinas, Wynne Hsu, Mong Li Lee · 2021
48. Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval
    Tang, Hongyin, Sun, Xingwu, Jin, Beihong, Wang, Jingang, Zhang, Fuzheng, Wu, Wei · 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
49. Self-Sampling for Neural Point Cloud Consolidation
    Gal Metzer, Rana Hanocka, Raja Giryes, Daniel Cohen‐Or · 2021 · ACM Transactions on Graphics
50. Interactive single-cell data analysis using Cellar
    Euxhen Hasanaj, Jingtao Wang, Arjun Sarathi, Jun Ding, Ziv Bar‐Joseph · 2022 · Nature Communications
51. LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval
    Canwen Xu, Daya Guo, Nan Duan, Julian McAuley · 2022 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
52. RT-kNNS Unbound: Using RT Cores to Accelerate Unrestricted Neighbor Search
    Vani Nagarajan, Durga Keerthi Mandarapu, Milind Kulkarni · 2023 · International Conference on Supercomputing
53. A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering
    Alireza Salemi, Juan Altmayer Pizzorno, Hamed Zamani · 2023 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
54. Retrieval-Augmented GPT-3.5-Based Text-to-SQL Framework with Sample-Aware Prompting and Dynamic Revision Chain
    Chunxi Guo, Zhiliang Tian, Jintao Tang, Shasha Li, Zhihua Wen, Kaixuan Wang, Ting Wang · 2023 · Lecture notes in computer science
55. TCRA-LLM: Token Compression Retrieval Augmented Large Language Model for Inference Cost Reduction
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56. GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language Models
    Pawan Kumar Rajpoot, Ankur P. Parikh · 2023 · Workshop on Financial Technology and Natural Language Processing (FinNLP)
57. Unifying Visual Localization and Scene Recognition for People With Visual Impairment
    Ruiqi Cheng, Kaiwei Wang, Jian Yu Bai, Zhijie Xu · 2020 · IEEE Access
58. Explaining and Improving Model Behavior with k Nearest Neighbor Representations
    Nazneen Fatema Rajani, Krause, Ben, Yin, Wengpeng, Tong Niu, Richard Socher, Caiming Xiong · 2020 · arXiv (Cornell University)
59. A Memory Efficient Baseline for Open Domain Question Answering
    Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Sebastian Riedel, Édouard Grave · 2020 · arXiv (Cornell University)
60. iART
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61. Noise-Tolerant Learning for Audio-Visual Action Recognition
    Haochen Han, Qinghua Zheng, Minnan Luo, Kaiyao Miao, Feng Tian, Yan Chen · 2024 · IEEE Transactions on Multimedia
62. Arkade: k-Nearest Neighbor Search With Non-Euclidean Distances using GPU Ray Tracing
    Durga Keerthi Mandarapu, Vani Nagarajan, Artem Pelenitsyn, Milind Kulkarni · 2024 · International Conference on Supercomputing
63. FEDS-ICL: Enhancing translation ability and efficiency of large language model by optimizing demonstration selection
    Shaolin Zhu, Leiyu Pan, Deyi Xiong · 2024 · Information Processing & Management
64. dxtb —An efficient and fully differentiable framework for extended tight-binding
    Marvin Friede, Christian Hölzer, Sebastian Ehlert, Stefan Grimme · 2024 · The Journal of Chemical Physics
65. A Multi-modal Modeling Framework for Cold-start Short-video Recommendation
    Gaode Chen, Ruina Sun, Yuezihan Jiang, Jiangxia Cao, Qi Zhang, Jingjian Lin, Han Li, Kun Gai, Xinghua Zhang · 2024 · ACM Conference on Recommender Systems (RecSys)
66. Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) for Enterprise Knowledge Management and Document Automation: A Systematic Literature Review
    Ehlullah Karakurt, Akhan Akbulut · 2025 · Applied Sciences
67. Similarity Search for Efficient Active Learning and Search of Rare Concepts
    Cody Coleman, Edward Chou, Julian Katz-Samuels, Sean Chang Culatana, Peter D. Bailis, Alexander C. Berg, Robert D. Nowak, Roshan Sumbaly, Matei Zaharia, İsmet Zeki Yalnız · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
68. EI-LSH: An early-termination driven I/O efficient incremental c-approximate nearest neighbor search
    Wanqi Liu, Hanchen Wang, Ying Zhang, Wei Wang, Lu Qin, Xuemin Lin · 2020 · The VLDB Journal
69. DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling
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70. Increasing the Confidence of Deep Neural Networks by Coverage Analysis
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71. Exemplars-Guided Empathetic Response Generation Controlled by the Elements of Human Communication
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72. Unsupervised Galaxy Morphological Visual Representation with Deep Contrastive Learning
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73. Generating Natural Images with Direct Patch Distributions Matching
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74. ConceptEVA: Concept-Based Interactive Exploration and Customization of Document Summaries
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75. Single-step retrosynthesis prediction by leveraging commonly preserved substructures
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76. Nonparametric Masked Language Modeling
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77. SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval
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78. Medical image retrieval via nearest neighbor search on pre-trained image features
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79. Noisy Perturbations for Estimating Query Difficulty in Dense Retrievers
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80. ZADU: A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings
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81. Unmasking the Web of Deceit: Uncovering Coordinated Activity to Expose Information Operations on Twitter
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82. Frontiers of Multimedia Research
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83. AtSNE
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84. Model-Based Visual Planning with Self-Supervised Functional Distances
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85. Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning
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86. Towards Effective and Efficient Sparse Neural Information Retrieval
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87. Sentence Embeddings and High-Speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents
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88. Fast Local Spatial Verification for Feature-Agnostic Large-Scale Image Retrieval
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89. TEM: High Utility Metric Differential Privacy on Text
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90. Adaptive Information Seeking for Open-Domain Question Answering
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91. Dense Hierarchical Retrieval for Open-domain Question Answering
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92. Bytecover2: Towards Dimensionality Reduction of Latent Embedding for Efficient Cover Song Identification
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93. Local Semantic Correlation Modeling Over Graph Neural Networks for Deep Feature Embedding and Image Retrieval
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94. Tree-KGQA: An Unsupervised Approach for Question Answering Over Knowledge Graphs
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95. Friend Recommendations with Self-Rescaling Graph Neural Networks
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96. Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding
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97. Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis
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98. Improving Low-Resource Languages in Pre-Trained Multilingual Language Models
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99. PQk-means
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100. Unsupervised Neural Quantization for Compressed-Domain Similarity Search
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