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Tap&Say: Touch Location-Informed Large Language Model for Multimodal Text Correction on Smartphones

PubMed(2025)10.1145/3706598.3713376Source: DataRank Database

Tap&Say: Touch Location-Informed Large Language Model for Multimodal Text Correction on Smartphones is a research paper published in PubMed (2025). On theSindex it has a DataRank of 0. It has been cited 5 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access5 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 10.04)OA: goldTopics (15)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (9)

Michael Xuelin Huang ORCID,Nathan G Huang ORCID,Shanqing Cai ORCID,Henry Huang,Michael Huang ORCID

Live enrichment

PubMed:41446598 PMC:PMC12723524 OpenAlex:https://openalex.org/W4409748984

NIH (National Institutes of Health)

Grant: R01EY03568801,R01EY03008503

NSF (National Science Foundation)

Grant: 2113485

NEI NIH HHS

Grant: R01 EY035688

FWCI

10.04

Citation Percentile

1.0%

Citation Trend

2025

2026

goldLicense: cc-by-nc-sa

https://doi.org/10.1145/3706598.3713376

publisherhttps://dl.acm.org/doi/10.1145/3706598.3713376

publisherhttps://dl.acm.org/doi/pdf/10.1145/3706598.3713376

repositoryhttps://pubmed.ncbi.nlm.nih.gov/41446598

Fields of Study

Speech and dialogue systemsVideo Analysis and SummarizationMultimedia Communication and Technology

Keywords

Computer scienceHuman–computer interactionLanguage modelNatural language processingArtificial intelligenceMultimediaSpeech recognitionComputer visionMulti-modalText CorrectionLlmsVoice Input

Sustainable Development Goals

SDG 0: Quality Education