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A PhD student at the University of Washington studying language models
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Training a VLM Judge Without Human Labels
arXivresearchpositiveDec 9, 2025
A self-training framework for Vision-Language Model judges can achieve competitive performance without human annotations, with a Llama-3.2-11B model outperforming larger models like GPT-4o and Claude 3.5 Sonnet on multimodal evaluation benchmarks.
“Author of "Training a VLM Judge Without Human Labels" on arXiv”
Computer VisionMultimodal AIAI ResearchFoundation Models