As large language models continue to advance in Artificial Intelligence (AI), text generation
systems have been shown to suffer from a problematic phenomenon often termed as" …

Scholars who want to research a scientific topic must take time to read, extract meaning, and
identify connections across many papers. As scientific literature grows, this becomes …

News media often leverage documents to find ideas for stories, while being critical of the
frames and narratives present. Develo** angles from a document such as a press release …

By simply composing prompts, developers can prototype novel generative applications with
Large Language Models (LLMs). To refine prototypes into products, however, developers …

Large Language Models (LLMs) have become the backbone of numerous writing interfaces
with the goal of supporting end-users across diverse writing tasks. While LLMs reduce the …

Large language models, particularly GPT-3, are able to produce high quality summaries of
general domain news articles in few-and zero-shot settings. However, it is unclear if such …

Reviewing the literature to understand relevant threads of past work is a critical part of
research and vehicle for learning. However, as the scientific literature grows the challenges …

With the ubiquitous use of online meeting platforms and robust automatic speech
recognition systems, meeting transcripts have emerged as a promising domain for natural …

Automated text simplification aims to produce simple versions of complex texts. This task is
especially useful in the medical domain, where the latest medical findings are typically …

Research consumption has been traditionally limited to the reading of academic papers—a
static, dense, and formally written format. Alternatively, pre-recorded conference …