Zobrazeno 1 - 10
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pro vyhledávání: '"Roy, Deb"'
Understanding and making use of audience feedback is important but difficult for journalists, who now face an impractically large volume of audience comments online. We introduce AudienceView, an online tool to help journalists categorize and interpr
Externí odkaz:
http://arxiv.org/abs/2407.12613
Words often carry different meanings for people from diverse backgrounds. Today's era of social polarization demands that we choose words carefully to prevent miscommunication, especially in political communication and journalism. To address this iss
Externí odkaz:
http://arxiv.org/abs/2407.09661
While state-of-the-art Large Language Models (LLMs) have shown impressive performance on many tasks, there has been extensive research on undesirable model behavior such as hallucinations and bias. In this work, we investigate how the quality of LLM
Externí odkaz:
http://arxiv.org/abs/2406.17737
Autor:
Kang, Wonjune, Roy, Deb
In this work, we introduce a framework for speech summarization that leverages the processing and reasoning capabilities of large language models (LLMs). We propose an end-to-end system that combines an instruction-tuned LLM with an audio encoder tha
Externí odkaz:
http://arxiv.org/abs/2406.05968
Autor:
Jiang, Hang, Zhang, Xiajie, Mahari, Robert, Kessler, Daniel, Ma, Eric, August, Tal, Li, Irene, Pentland, Alex 'Sandy', Kim, Yoon, Roy, Deb, Kabbara, Jad
Making legal knowledge accessible to non-experts is crucial for enhancing general legal literacy and encouraging civic participation in democracy. However, legal documents are often challenging to understand for people without legal backgrounds. In t
Externí odkaz:
http://arxiv.org/abs/2402.17019
Autor:
Fulay, Suyash, Roy, Deb
While political polarization has increased as measured through surveys, currently we lack comprehensive, longitudinal, and ecologically valid measurement of the polarization of online political speech that spans social media platforms. Using language
Externí odkaz:
http://arxiv.org/abs/2308.15556
Autor:
Brannon, William, Kang, Wonjune, Fulay, Suyash, Jiang, Hang, Roy, Brandon, Roy, Deb, Kabbara, Jad
Learning on text-attributed graphs (TAGs), in which nodes are associated with one or more texts, has been the subject of much recent work. However, most approaches tend to make strong assumptions about the downstream task of interest, are reliant on
Externí odkaz:
http://arxiv.org/abs/2305.14321
Despite the many use cases for large language models (LLMs) in creating personalized chatbots, there has been limited research on evaluating the extent to which the behaviors of personalized LLMs accurately and consistently reflect specific personali
Externí odkaz:
http://arxiv.org/abs/2305.02547
Autor:
Gillani, Nabeel, Beeferman, Doug, Overney, Cassandra, Vega-Pourheydarian, Christine, Roy, Deb
Educational data scientists often conduct research with the hopes of translating findings into lasting change through policy, civil society, or other channels. However, the bridge from research to practice can be fraught with sociopolitical frictions
Externí odkaz:
http://arxiv.org/abs/2304.08967
Identity spans multiple dimensions; however, the relative salience of a dimension of identity can vary markedly from person to person. Furthermore, there is often a difference between one's internal identity (how salient different aspects of one's id
Externí odkaz:
http://arxiv.org/abs/2304.07195