Abstract: Large language models (LLMs) have made significant advancements in natural language understanding. However, through that enormous semantic representation that the LLM has learnt, is it ...
Two trained coders coded the study characteristics independently. The effect sizes were calculated using the correlation coefficient as a standardized measure of the relationship between electronic ...
Abstract: This study is intended for those with speech problems, hearing loss, or deafness. For those who are hard of hearing or deaf, sign language is unique in that it serves as their primary and ...
Unsupervised domain adaptation (UDA) involves learning class semantics from labeled data within a source domain that generalize to an unseen target domain. UDA methods are particularly impactful for ...
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