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cs.CL2026
Not All That Is Fluent Is Factual: Investigating Hallucinations of Large Language Models in Academic Writing
Humam Khan, Md Tabrez Nafis, Shahab Saquib Sohail +2
Large Language models (LLMs) show extraordinary abilities, but they are still prone to hallucinations, especially when we use them for generating Academic content. We have investig…
cs.CV2026
IndicFairFace: Balanced Indian Face Dataset for Auditing and Mitigating Geographical Bias in Vision-Language Models
Aarish Shah Mohsin, Mohammed Tayyab Ilyas Khan, Mohammad Nadeem +3
Vision-Language Models (VLMs) are known to inherit and amplify societal biases from their web-scale training data with Indian being particularly misrepresented. Existing fairness-a…