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Found 5 papers, 5 papers with code
MEDVOC: Vocabulary Adaptation for Fine-tuning Pre-trained Language Models on Medical Text Summarization
In contrast to existing domain adaptation approaches in summarization, MEDVOC treats vocabulary as an optimizable parameter and optimizes the PLM vocabulary based on fragment score conditioned only on the downstream task's reference summaries.
Beyond Accuracy: Investigating Error Types in GPT-4 Responses to USMLE Questions
In our annotated dataset, a substantial portion of GPT-4's incorrect responses is categorized as a "Reasonable response by GPT-4," by annotators.
GeneMask: Fast Pretraining of Gene Sequences to Enable Few-Shot Learning
Large-scale language models such as DNABert and LOGO aim to learn optimal gene representations and are trained on the entire Human Reference Genome.
Knowledge-Aware Neural Networks for Medical Forum Question Classification
Online medical forums have become a predominant platform for answering health-related information needs of consumers.
An Integrated Approach for Improving Brand Consistency of Web Content: Modeling, Analysis and Recommendation
A consumer-dependent (business-to-consumer) organization tends to present itself as possessing a set of human qualities, which is termed as the brand personality of the company.
