The interactive nature of Large Language Models (LLMs) theoretically allows models to
refine and improve their answers, yet systematic analysis of the multi-turn behavior of LLMs …

Large Language Models (LLMs) have become ubiquitous across various domains,
transforming the way we interact with information and conduct research. However, most high-…

Asking good questions is an essential ability for both human and machine intelligence.
However, existing neural question generation approaches mainly focus on short factoid type of …

Question generation (QGen) models are often evaluated with standardized NLG metrics that
are based on n-gram overlap. In this paper, we measure whether these metric …

Making big purchases requires consumers to research or consult a salesperson to gain domain
expertise. However, existing conversational recommender systems (CRS) often overlook …

We explore the design of Marvista—a human-AI collaborative tool that employs a suite of
natural language processing models to provide end-to-end support for reading online news …

There are many potential benefits to news readers accessing diverse sources. Modern news
aggregators do the hard work of organizing the news, offering readers a plethora of source …

Modern news aggregators do the hard work of organizing a large news stream, creating
collections for a given news story with tens of source options. This paper shows that navigating …

This paper presents INTELMO, an easy-to-use library to help model developers adopt user-faced
interactive interfaces and articles from real-time RSS sources for their language models…

We explore the design of Marvista--a human-AI collaborative tool that employs a suite of
natural language processing models to provide end-to-end support for reading online news …