no code implementations • 23 Feb 2024 • Agrima Seth, Sanchit Ahuja, Kalika Bali, Sunayana Sitaram
Generative models are increasingly being used in various applications, such as text generation, commonsense reasoning, and question-answering.
no code implementations • 26 Oct 2023 • Rishav Hada, Agrima Seth, Harshita Diddee, Kalika Bali
Next, we systematically analyze the variation of themes of gender biases in the observed ranking and show that identity-attack is most closely related to gender bias.
1 code implementation • 6 Jul 2023 • David Jurgens, Agrima Seth, Jackson Sargent, Athena Aghighi, Michael Geraci
We introduce a new dataset of contextually-situated judgments of appropriateness and show that large language models can readily incorporate relationship information to accurately identify appropriateness in a given context.
no code implementations • 6 Jul 2023 • Aparna Ananthasubramaniam, Hong Chen, Jason Yan, Kenan Alkiek, Jiaxin Pei, Agrima Seth, Lavinia Dunagan, MinJe Choi, Benjamin Litterer, David Jurgens
Linguistic style matching (LSM) in conversations can be reflective of several aspects of social influence such as power or persuasion.
1 code implementation • 5 Dec 2022 • Shreyasvi Natraj, Malhar Bhide, Nathan Yap, Meng Liu, Agrima Seth, Jonathan Berman, Christin Glorioso
In order to create a simple easy-to-use tool for estimating different individual risks associated with carrying out daily-life activity, we developed COVID-19 Activity Risk Calculator (CovARC).
1 code implementation • 27 Jul 2018 • Adrian Alan Pol, Gianluca Cerminara, Cecile Germain, Maurizio Pierini, Agrima Seth
Reliable data quality monitoring is a key asset in delivering collision data suitable for physics analysis in any modern large-scale High Energy Physics experiment.