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Agrima Seth

University of Michigan

3 papers hereh-index 6146 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL3
affiliations
  • University of Michigan
HomepageORCID 0000-0001-8547-6304
same name
  • Agrima Seth — 2 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators
Showing cs.CLShow all

3 papers · 1 filter

cs.CL2025

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…

cs.CL2025

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…

cs.CL2024

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…

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