Hong Chen
2 papers · Latest:
Machine Learning
Meta Additive Model: Interpretable Sparse Learning With Auto Weighting
MAM is a novel meta additive model that automatically learns data-driven loss weighting to improve sparse learning robustness and interpretability.
2604.20111
Computer VisionMedProbeBench: Systematic Benchmarking at Deep Evidence Integration for Expert-level Medical Guideline
MedProbeBench is a new benchmark evaluating LLMs' deep evidence integration for generating expert-level medical guidelines, revealing current limitations.
2604.18418
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