Recently, there has been a surge of interest in the NLP community on the use of pretrained
Language Models (LMs) as Knowledge Bases (KBs). Researchers have shown that LMs …

Large language models (LLMs) have demonstrated impressive capabilities, but the bar for
clinical applications is high. Attempts to assess the clinical knowledge of models typically …

Pre-trained large language models (“LLMs”) like GPT-3 can engage in fluent, multi-turn
instruction-taking out-of-the-box, making them attractive materials for designing natural …

Large language models (LLMs) have demonstrated impressive capabilities in natural
language understanding and generation, but the quality bar for medical and clinical …

Practitioners increasingly use machine learning (ML) models, yet models have become
more complex and harder to understand. To understand complex models, researchers have …

Open-domain generative systems have gained significant attention in the field of
conversational AI (eg, generative search engines). This paper presents a comprehensive …

Artificial intelligence (AI) has the potential to improve human decision-making by providing
decision recommendations and problem-relevant information to assist human decision …

Interpretable machine learning has exploded as an area of interest over the last decade,
sparked by the rise of increasingly large datasets and deep neural networks …

Artificial Intelligence (AI) for the biomedical domain is gaining significant interest and holds
considerable potential for the future of healthcare, particularly also in the context of in vitro …

Our goal is a teachable reasoning system for question-answering (QA), where a user can
interact with faithful answer explanations, and correct its errors so that the system improves …