2 citations · 7 across the 11 of their papers we have counts for
11 papers
How Deep Is Representational Bias in LLMs? The Cases of Caste and Religion
Agrima Seth, Monojit Choudhary, Sunayana Sitaram +3
Representational bias in large language models (LLMs) has predominantly been measured through single-response interactions and has focused on Global North-centric identities like r…
KAHANI: Culturally-Nuanced Visual Storytelling Tool for Non-Western Cultures
Hamna, Deepthi Sudharsan, Agrima Seth +6
Large Language Models (LLMs) and Text-To-Image (T2I) models have demonstrated the ability to generate compelling text and visual stories. However, their outputs are predominantly a…
Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology
Rishav Hada, Safiya Husain, Varun Gumma +8
Existing research in measuring and mitigating gender bias predominantly centers on English, overlooking the intricate challenges posed by non-English languages and the Global South…
DOSA: A Dataset of Social Artifacts from Different Indian Geographical Subcultures
Agrima Seth, Sanchit Ahuja, Kalika Bali +1
Generative models are increasingly being used in various applications, such as text generation, commonsense reasoning, and question-answering. To be effective globally, these model…
''Fifty Shades of Bias'': Normative Ratings of Gender Bias in GPT Generated English Text
Rishav Hada, Agrima Seth, Harshita Diddee +1
Language serves as a powerful tool for the manifestation of societal belief systems. In doing so, it also perpetuates the prevalent biases in our society. Gender bias is one of the…
Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics
Aparna Ananthasubramaniam, Hong Chen, Jason Yan +7
Linguistic style matching (LSM) in conversations can be reflective of several aspects of social influence such as power or persuasion. However, how LSM relates to the outcomes of o…
Your spouse needs professional help: Determining the Contextual Appropriateness of Messages through Modeling Social Relationships
David Jurgens, Agrima Seth, Jackson Sargent +2
Understanding interpersonal communication requires, in part, understanding the social context and norms in which a message is said. However, current methods for identifying offensi…
Cultural Differences in Friendship Network Behaviors: A Snapchat Case Study
Agrima Seth, Jiyin Cao, Xiaolin Shi +3
Culture shapes people's behavior, both online and offline. Surprisingly, there is sparse research on how cultural context affects network formation and content consumption on socia…
COVID-19 Activity Risk Calculator as a Gamified Public Health Intervention Tool
Shreyasvi Natraj, Malhar Bhide, Nathan Yap +4
The Coronavirus disease 2019 (COVID-19) pandemic, caused by the virus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has impacted over 200 countries leading to hospi…
Closed Ranks: The Discursive Value of Military Support for Indian Politicians on Social Media
Agrima Seth, Soham De, Arshia Arya +3
Influencers play a crucial role in shaping public narratives through information creation and diffusion in the Global South. While public figures from various walks of life and the…
Detector monitoring with artificial neural networks at the CMS experiment at the CERN Large Hadron Collider
Adrian Alan Pol, Gianluca Cerminara, Cecile Germain +2
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. This paper focu…