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20172026
most citedUSE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations

32 citations · 70 across the 12 of their papers we have counts for

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2 papers · 1 filter

cs.LG2026

Model Merging on Loss Landscape: A Geometry Perspective

Juanwu Lu, Anand Bhaskar, Brian Axelrod +2

Model merging offers a promising avenue for knowledge integration and parallel development without retraining. Yet, existing methods either ignore the geometry of the loss landscap…

cs.LG2026

Gradient-Stable Attention Heads Signal LLM Correctness

Sophie Ostmeier, Brian Axelrod, Maya Varma +6

Large language models (LLMs) often generate plausible yet incorrect answers, posing risks in safety-critical settings such as medicine. Human evaluation is expensive, and LLM-as-ju…