activity
20232026
most citedAnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets

4 citations · 7 across the 14 of their papers we have counts for

collaborators
Showing cs.CVShow all

1 paper · 1 filter

cs.CV2026

Jury Duty: Calibration and Orientation Failures in MLLM-as-a-Judge Under Cultural Ambiguity

Daniel Lee, Harsh Sharma, Eunkyu Park +5

MLLM-as-a-Judge is conventionally validated by agreement with human annotations, but this metric is undefined when the human pool is culturally heterogeneous. We introduce VOIR DIR…