Large language models (LLMs), exemplified by ChatGPT, have gained considerable
attention for their excellent natural language processing capabilities. Nonetheless, these …

Large language models (LLMs) have gained considerable attention for their excellent
natural language processing capabilities. Nonetheless, these LLMs present many …

Automatic summarization of legal case judgements, which are known to be long and
complex, has traditionally been tried via extractive summarization models. In recent years …

Retrieval-augmented language models can better adapt to changes in world state and
incorporate long-tail knowledge. However, most existing methods retrieve only short …

Long-form clinical summarization of hospital admissions has real-world significance
because of its potential to help both clinicians and patients. The factual consistency of …

Recent studies on automatic note generation have shown that doctors can save significant
amounts of time when using automatic clinical note generation (Knoll et al., 2022) …

For large language models (LLMs) to be effective in the financial domain--where each
decision can have a significant impact--it is necessary to investigate realistic tasks and data …

In the rapidly evolving landscape of medical research, accurate and concise summarization
of clinical studies is crucial to support evidence-based practice. This paper presents a novel …

Recent studies on automatic note generation have shown that doctors can save significant
amounts of time when using automatic clinical note generation (Knoll et al., 2022) …

Summarization models often generate text that is poorly calibrated to quality metrics
because they are trained to maximize the likelihood of a single reference (MLE). To address …