Search Results for author: Agrima Seth

Found 6 papers, 3 papers with code

DOSA: A Dataset of Social Artifacts from Different Indian Geographical Subcultures

no code implementations23 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.

Question Answering Text Generation

''Fifty Shades of Bias'': Normative Ratings of Gender Bias in GPT Generated English Text

no code implementations26 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.

Binary Classification Text Generation

Your spouse needs professional help: Determining the Contextual Appropriateness of Messages through Modeling Social Relationships

1 code implementation6 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.

COVID-19 Activity Risk Calculator as a Gamified Public Health Intervention Tool

1 code implementation5 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).

Detector monitoring with artificial neural networks at the CMS experiment at the CERN Large Hadron Collider

1 code implementation27 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.

Anomaly Detection

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