Results 11 to 20 of about 3,572,323 (356)
Prompting Is Programming: A Query Language for Large Language Models [PDF]
Proc. ACM Program. Lang., 2022 Large language models have demonstrated outstanding performance on a wide range of tasks such as question answering and code generation. On a high level, given an input, a language model can be used to automatically complete the sequence in a ...
Luca Beurer-Kellner +2 more
semanticscholar +1 more source
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
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
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
On describing human white matter anatomy: the white matter query language. [PDF]
Med Image Comput Comput Assist Interv, 2013 Wassermann D +6 more
europepmc +2 more sources
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
IEEE Access, 2022 In recent years, although the application of knowledge graph in natural language processing has made some progress, there are still some key problems to be solved, especially the matching query problem in natural language knowledge graph. Since the basic
Qifeng Zou, Chaoze Lu
doaj +1 more source
Hindi Language Interface to Database [PDF]
ITM Web of Conferences, 2020 In our everyday lives we require information to accomplish daily tasks. Database is one of the most important sources of information. Database systems have been widely used in data storage and retrieval. However, to extract information from databases, we
Dubey Rachana +3 more
doaj +1 more source