Abstract Large Language Models (LLMs) have recently gained significant attention due to
their remarkable capabilities in performing diverse tasks across various domains. However …

The integration of biomolecular modeling with natural language (BL) has emerged as a
promising interdisciplinary area at the intersection of artificial intelligence, chemistry and …

Abstract We evaluate recent Large Language Models (LLMs) on the challenging task of
summarizing short stories, which can be lengthy, and include nuanced subtext or scrambled …

Since the inception of the Transformer architecture in 2017, Large Language Models (LLMs)
such as GPT and BERT have evolved significantly, impacting various industries with their …

Natural Language Processing (NLP) is witnessing a remarkable breakthrough driven by the
success of Large Language Models (LLMs). LLMs have gained significant attention across …

Objective Although supervised machine learning is popular for information extraction from
clinical notes, creating large annotated datasets requires extensive domain expertise and is …

The year 2023 marked a significant surge in the exploration of applying large language
model chatbots, notably Chat Generative Pre‐trained Transformer (ChatGPT), across …

Large Language Models (LLMs) have demonstrated impressive capabilities to solve a wide
range of tasks without being explicitly fine-tuned on task-specific datasets. However …

The adoption of large language models (LLMs) to assist clinicians has attracted remarkable
attention. Existing works mainly adopt the close-ended question-answering (QA) task with …

Large language models (LLMs) such as ChatGPT have gained considerable interest across
diverse research communities. Their notable ability for text completion and generation has …