Word Embeddings from Scratch
Generated word embeddings, evaluated GloVe and Word2Vec embeddings, aligned English–Hindi embeddings via Procrustes and analyzed race and gender bias using WEAT test.
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Abstract
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Methodology
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Results
Across all experiments, LLMs produced plausible yet inaccurate estimates, showing that they rely on heuristics rather than actual computation.