2 papers
cs.CV2026
GAP3D: Generative Alignment of VLM Latents to Patch-Level Embeddings for 3D Generation
Polytimi Anna Gkotsi, Andrii Zadaianchuk, Mohammad Mahdi Derakhshani
Recent approaches integrating vision-language models (VLMs) as prompt encoders for generative model conditioning typically rely on expensive end-to-end training or map features to…
cs.IR2026
Efficient Optimization of Hierarchical Identifiers for Generative Recommendation
Federica Valeau, Odysseas Boufalis, Polytimi Gkotsi +2
SEATER is a generative retrieval model that improves recommendation inference efficiency and retrieval quality by utilizing balanced tree-structured item identifiers and contrastiv…