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Sep 2026

CL-GGD: Cross-layer Semantic Geometry Distillation for Lightweight Text Embedding Reconstruction

Lightweight sentence embedding models are critical for large-scale retrieval and semantic matching, yet aggressive compression often disrupts the semantic geometry learned by powerful teachers. Existing distillation methods primarily rely on point-wise feature matching or task-specific supervision, which fails to prese...

Chen Peng, Xiang-Bo Kong, Xue Qiao et al. · 0 citations
Preprint Sep 2026

Exploring Forum Post Retrieval with Generative Modeling

Generative recommendation (GR) has emerged as an alternative to embedding-based retrieval, building on the success of generative models in language and vision. We are exploring GR on Facebook Forum, a standalone application for medium-to-heavy users of Facebook Groups. Because Forum is a new surface, its own interactio...

Yang Li, Ya-Guang Liu, Heng Liu et al. · 0 citations

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