GAVAGAI: referential alignment for infant-scale vision-language models via balanced optimal transport
Read the original at arxiv.org→arXiv:2611.00319v1 Announce Type: new Abstract: A child learns which words name which things from roughly 100 million words of input. Vision-language models trained at a comparable scale bind words to referents far...
Original headline: "GAVAGAI: Referential Alignment for Infant-Scale Vision-Language Models via Balanced Optimal Transport"
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- Nov 3, 05:00 UTC arXiv cs.CL lead source GAVAGAI: Referential Alignment for Infant-Scale Vision-Language Models via Balanced Optimal Transport