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cs.AI2025★ 1 cited
The Multimodal Paradox: How Added and Missing Modalities Shape Bias and Performance in Multimodal AI
Kishore Sampath, Pratheesh, Ayaazuddin Mohammad +1
Multimodal learning, which integrates diverse data sources such as images, text, and structured data, has proven superior to unimodal counterparts in high-stakes decision-making. H…
cs.CL2025
Unequal Opportunities: Examining the Bias in Geographical Recommendations by Large Language Models
Shiran Dudy, Thulasi Tholeti, Resmi Ramachandranpillai +3
Recent advancements in Large Language Models (LLMs) have made them a popular information-seeking tool among end users. However, the statistical training methods for LLMs have raise…