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National University of Science and Technology (NUST) MISIS
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Medical LLMs do not need to trade diagnostic rigor for bedside manner: conditioning generation on inferred patient affect consistently beats neutral baselines on both human clarity ratings and objective clinical benchmarks.
Persistent memory in EvoMem reduces redundant exploration in evolutionary code search, leading to faster and more effective optimization across multiple tasks.
Deferring to a larger LLM only when a smaller LLM is uncertain can match the performance of the larger model alone, while slashing inference costs.
