What transfers from text to vision? Capability-Driven Multimodal Scaling Law and transfer dynamics for VLMs
Read the original at arxiv.org→arXiv:2608.00013v1 Announce Type: new Abstract: Choosing the right large language model (LLM) backbone is the most consequential decision when building a vision-language model (VLM), yet it remains fundamentally...
Original headline: "What Transfers from Text to Vision? Capability Scaling Laws and Transfer Dynamics for VLMs"
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- Aug 4, 04:00 UTC arXiv cs.CL lead source What Transfers from Text to Vision? Capability Scaling Laws and Transfer Dynamics for VLMs