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Missing critical facts during coding tasks leads to systematic failures across multiple models, highlighting the importance of coherence in repository-scale coding agents.
Separating language understanding from probabilistic reasoning in medical dialogue agents yields a system that's not only more accurate and robust, but also private and auditable by design.
