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Optimizing numerical estimation and operational efficiency in the legal domain through large language models
The legal landscape encompasses a wide array of lawsuit types, presenting lawyers with
challenges in delivering timely and accurate information to clients, particularly concerning …
challenges in delivering timely and accurate information to clients, particularly concerning …
A novel evaluation framework for image2text generation
Evaluating the quality of automatically generated image descriptions is challenging,
requiring metrics that capture various aspects such as grammaticality, coverage …
requiring metrics that capture various aspects such as grammaticality, coverage …
Beyond relevant documents: A knowledge-intensive approach for query-focused summarization using large language models
Query-focused summarization (QFS) is a fundamental task in natural language processing
with broad applications, including search engines and report generation. However …
with broad applications, including search engines and report generation. However …
QFMTS: generating query-focused summaries over multi-table inputs
Table summarization is a crucial task aimed at condensing information from tabular data into
concise and comprehensible textual summaries. However, existing approaches often fall …
concise and comprehensible textual summaries. However, existing approaches often fall …
Automated Retinal Image Analysis and Medical Report Generation through Deep Learning
JH Huang - arxiv preprint arxiv:2408.07349, 2024 - arxiv.org
The increasing prevalence of retinal diseases poses a significant challenge to the
healthcare system, as the demand for ophthalmologists surpasses the available workforce …
healthcare system, as the demand for ophthalmologists surpasses the available workforce …