PERSON DIRECTORY
Mohamed Osman
Mohamed Osman appears in 1 indexed conversation across Machine Learning Street Talk. This directory brings every appearance, source, TL;DR, digest, and transcript into one searchable feed.
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Test-Time Adaptation: the key to reasoning with DL
Mohamed Osman’s team reached 55.5% on the ARC leaderboard and 58% on the hidden set by making test-time adaptation part of inference, including active fine-tuning that repairs almost-correct reasoning.The approach uses a tiny T5-family encoder-decoder, synthetic ARC tasks, gradient descent, augmentation, beam sampling, and voting, suggesting smaller steerable models could gain capability without frontier-scale pre-training as Tufa Labs funds a roughly year-long ARC program.