BMJ Evidence-Based Medicine

Impact of prompt engineering on large language models for risk of bias assessment: a comparative study

Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether ...
jmg.bmj

Updated ENIGMA recommendations for reporting germline variants in cancer susceptibility genes and their translation into twenty languages

Genetic testing for cancer susceptibility underpins precision cancer prevention and care. Gaps in the healthcare providers’ genetic literacy and an ambiguous lexicon for variant description may hinder ...
IEEE

Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment

Abstract: With the continuous growth in the number of parameters of the Transformer-based pretrained language models (PLMs), particularly the emergence of large language models (LLMs) with billions of ...
GitHub

Efficient Test-Time Adaptation of Vision-Language Models

Abstract: Test-time adaptation with pre-trained vision-language models has attracted increasing attention for tackling distribution shifts during the test time. Though prior studies have achieved very ...
news10nbc

State assessments underway: What parents need to know if considering test refusal

NEW YORK — New York State assessments are underway for students in grades 3 through 8 across the state but plenty of parents continue to want to opt their children out of participating. Jillian ...
IEEE

CodaMosa: Escaping Coverage Plateaus in Test Generation with Pre-trained Large Language Models

Abstract: Search-based software testing (SBST) generates high-coverage test cases for programs under test with a combination of test case generation and mutation. SBST's performance relies on there ...