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TMI uncovers the hidden structure of concurrent tasks in computer-use traces, achieving unprecedented accuracy in task model induction.
Rubric-based scoring, a common evaluation method, is surprisingly bad at capturing quality in expert domains, with pairwise comparisons proving far more reliable and efficient.
