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Reassessing Global Gradient-Norm Imbalance in BLIP Fine-Tuning Across Physical Domains
Imbalanced gradient magnitudes between the visual and language pathways of a vision-language model are often treated as a defect to be corrected. We test that premise for one family of correction, deliberately excluding adaptive, signal-driven schemes (e.g. BalGrad, OGM, PMR, CGGM), which are a mech
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