4 citations · 9 across the 6 of their papers we have counts for
Showing cs.CLShow all
2 papers · 1 filter
cs.CL2026
StylisticBias: A Few Human Visual Cues Drive Most Social Biases in MLLMs
Shaghayegh Kolli, Timo Cavelius, Nafiseh Nikeghbal +2
Multimodal large language models (MLLMs) are increasingly deployed in personally and societally consequential settings, yet the visual cues that shape how these models judge people…
cs.CL2024★ 3 cited
QuaLLM: An LLM-based Framework to Extract Quantitative Insights from Online Forums
Varun Nagaraj Rao, Eesha Agarwal, Samantha Dalal +2
Online discussion forums provide crucial data to understand the concerns of a wide range of real-world communities. However, the typical qualitative and quantitative methodologies…