activity
20242026
most citedAdvancing Minority Stress Detection with Transformers: Insights from the Social Media Datasets

5 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

SolarGPT-QA: A Domain-Adaptive Large Language Model for Educational Question Answering in Space Weather and Heliophysics

Santosh Chapagain, MohammadReza EskandariNasab, Onur Vural +2

Solar activity, including solar flares, coronal mass ejections (CMEs), and geomagnetic storms can significantly impact satellites, aviation, power grids, data centers, and space mi…

cs.CL2025★ 5 cited

Advancing Minority Stress Detection with Transformers: Insights from the Social Media Datasets

Santosh Chapagain, Cory J Cascalheira, Shah Muhammad Hamdi +2

Individuals from sexual and gender minority groups experience disproportionately high rates of poor health outcomes and mental disorders compared to their heterosexual and cisgende…

cs.LG2025★ 2 cited

Pruning Strategies for Backdoor Defense in LLMs

Santosh Chapagain, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi

Backdoor attacks are a significant threat to the performance and integrity of pre-trained language models. Although such models are routinely fine-tuned for downstream NLP tasks, r…

cs.LG2025

Advancing Hate Speech Detection with Transformers: Insights from the MetaHate

Santosh Chapagain, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi

Hate speech is a widespread and harmful form of online discourse, encompassing slurs and defamatory posts that can have serious social, psychological, and sometimes physical impact…

cs.CL2024

Predictive Insights into LGBTQ+ Minority Stress: A Transductive Exploration of Social Media Discourse

S. Chapagain, Y. Zhao, T. K. Rohleen +7

Individuals who identify as sexual and gender minorities, including lesbian, gay, bisexual, transgender, queer, and others (LGBTQ+) are more likely to experience poorer health than…