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cs.CL2025★ 1 cited
Assessing Algorithmic Bias in Language-Based Depression Detection: A Comparison of DNN and LLM Approaches
Obed Junias, Prajakta Kini, Theodora Chaspari
This paper investigates algorithmic bias in language-based models for automated depression detection, focusing on socio-demographic disparities related to gender and race/ethnicity…
cs.CL2025
Assessing the feasibility of Large Language Models for detecting micro-behaviors in team interactions during space missions
Ankush Raut, Projna Paromita, Sydney Begerowski +2
We explore the feasibility of large language models (LLMs) in detecting subtle expressions of micro-behaviors in team conversations using transcripts collected during simulated spa…