most citedMulti-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.IR2025

Quadratic Interest Network for Multimodal Click-Through Rate Prediction

Honghao Li, Hanwei Li, Jing Zhang +4

Multimodal click-through rate (CTR) prediction is a key technique in industrial recommender systems. It leverages heterogeneous modalities such as text, images, and behavioral logs…

cs.CL2024★ 3 cited

Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings

Isabelle Mohr, Markus Krimmel, Saba Sturua +16

We introduce a novel suite of state-of-the-art bilingual text embedding models that are designed to support English and another target language. These models are capable of process…