In this paper, we present empirical studies on conversational recommendation tasks using
representative large language models in a zero-shot setting with three primary contributions. (…

Meetings are a key component of human collaboration. As increasing numbers of meetings
are recorded and transcribed, meeting summaries have become essential to remind those …

Conservation voltage reduction (CVR) uses Volt-VAR optimization (VVO) methods to reduce
customer power demand by controlling feeder's voltage control devices. The objective of …

This paper summarizes ongoing research in Natural-Language-Processing-driven citation
analysis and describes experiments and motivating examples of how this work can be used to …

In the power distribution systems, optimal power flow (D-OPF) is formulated as a non-convex
and non-linear programming (NLP) problem. Convex relaxation and linear approximation …

Poly(vinyl chloride) (PVC) is one of the highest production volume polymers due to its many
applications, and it is one of the least recycled due to its chemical structure and frequent …

While neural language models can generate text with remarkable fluency and coherence,
controlling for factual correctness in generation remains an open research question. This …

Large Language Models (LLMs) are revolutionizing conversational recommender systems (CRS)
by effectively indexing item content, understanding complex conversational contexts, …

Conversational recommender systems (CRS) should understand users’ expressed interests,
which are frequently semantically rich and knowledge-intensive. Prior works attempt to …

New scientific concepts, interpreted broadly, are continuously introduced in the literature,
but relatively few concepts have a long‐term impact on society. The identification of such …