Showing 2026Show all
2 papers · 1 filter
cs.CV2026
Analyzing and Improving Fine-grained Preference Optimization in Medical LVLMs
Shayan Mohammadizadehsamakosh, Pritam Sarkar, Leonid Sigal +2
Preference optimization is increasingly used to post-train medical large vision-language models (LVLMs), yet it operates at a much coarser granularity than the one that defines cli…
cs.LG2026
Fine-Grained Benchmark Generation for Comprehensive Evaluation of Foundation Models
Mohammed Saidul Islam, Negin Baghbanzadeh, Farnaz Kohankhaki +5
Evaluation of foundation models often rely on aggregate scores from benchmarks that lack comprehensive coverage and metadata for a fine-grained evaluation. We introduce a framework…