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Early-stage reasoning failures can be drastically reduced from 64% to 13% with a novel RL approach that penalizes cascading errors in medical VQA.
Agentic models may resolve citations, but they still mislink to the wrong papers 15.9% of the time, exposing a critical flaw in current AI evaluation benchmarks.
