STaR-DRO applies momentum-smoothed Tsallis reweighting to focus learning on hard groups in structured prediction, yielding F1 gains on clinical label extraction.
arXiv preprint arXiv:2603.00025 (2026)
2 Pith papers cite this work. Polarity classification is still indexing.
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Ensemble voting across multiple LLMs improves results on EHR question answering subtasks, with best dev scores of 88.81 micro F1 on evidence-answer alignment.
citing papers explorer
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STaR-DRO: Stateful Tsallis Reweighting for Group-Robust Structured Prediction
STaR-DRO applies momentum-smoothed Tsallis reweighting to focus learning on hard groups in structured prediction, yielding F1 gains on clinical label extraction.
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Yale-DM-Lab at ArchEHR-QA 2026: Deterministic Grounding and Multi-Pass Evidence Alignment for EHR Question Answering
Ensemble voting across multiple LLMs improves results on EHR question answering subtasks, with best dev scores of 88.81 micro F1 on evidence-answer alignment.