Results 11 to 20 of about 3,622,651 (382)
Proceedings of the 1st International Workshop on Emerging Trends in Software Engineering for Blockchain, 2018 Blockchains store a massive amount of heterogeneous data which will only grow in time. When searching for data on the Ethereum platform, one is required to either access the records (blocks) directly by using a unique identifier, or sequentially search several records to find the desired information.
Santiago Bragagnolo +3 more
semanticscholar +3 more sources
Using Genome Query Language to uncover genetic variation. [PDF]
Bioinformatics, 2014 Kozanitis C +3 more
europepmc +2 more sources
Vision-Language Transformer and Query Generation for Referring Segmentation [PDF]
IEEE International Conference on Computer Vision, 2021 In this work, we address the challenging task of referring segmentation. The query expression in referring segmentation typically indicates the target object by describing its relationship with others.
Henghui Ding +3 more
semanticscholar +1 more source
VLT: Vision-Language Transformer and Query Generation for Referring Segmentation [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 We propose a Vision-Language Transformer (VLT) framework for referring segmentation to facilitate deep interactions among multi-modal information and enhance the holistic understanding to vision-language features.
Henghui Ding +3 more
semanticscholar +1 more source
The temporal query language TQuel [PDF]
Proceedings of the 3rd ACM SIGACT-SIGMOD symposium on Principles of database systems - PODS '84, 1984 Recently, attention has been focused on temporal databases , representing an enterprise over time. We have developed a new language, Tquel , to query a temporal database. TQuel was designed to be a minimal extension, both syntactically and semantically, of Quel, the query language in the ...
Richard T. Snodgrass
openalex +5 more sources
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 Multi-query attention (MQA), which only uses a single key-value head, drastically speeds up decoder inference. However, MQA can lead to quality degradation, and moreover it may not be desirable to train a separate model just for faster inference.
J. Ainslie +5 more
semanticscholar +1 more source
Natural Language to SQL: Automated Query Formation Using NLP Techniques [PDF]
E3S Web of Conferences, 2023 In this era of information world, given any topic, we are able to get relevant data or documents at a mouse click. The flexibility that internet provides is the user friendly language or Natural Language to search for required topic.
Y. Sri Lalitha +5 more
doaj +1 more source
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning [PDF]
Neural Information Processing Systems, 2023 Large-scale pre-training and instruction tuning have been successful at creating general-purpose language models with broad competence. However, building general-purpose vision-language models is challenging due to the rich input distributions and task ...
Wenliang Dai +8 more
semanticscholar +1 more source
Preliminary results of a conceptual graph query language
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2023 The contribution of this article is to bring the interesting features of SPARQL to the conceptual graph model while preserving its distinctive features and especially the graphical ones.
David Genest +2 more
doaj +1 more source
Query Rewriting for Incremental Continuous Query Evaluation in HIFUN
Algorithms, 2021 HIFUN is a high-level query language for expressing analytic queries of big datasets, offering a clear separation between the conceptual layer, where analytic queries are defined independently of the nature and location of data, and the physical layer ...
Petros Zervoudakis +3 more
doaj +1 more source