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cs.CL2023
Stop Pre-Training: Adapt Visual-Language Models to Unseen Languages
Yasmine Karoui, Rémi Lebret, Negar Foroutan +1
Vision-Language Pre-training (VLP) has advanced the performance of many vision-language tasks, such as image-text retrieval, visual entailment, and visual reasoning. The pre-traini…
cs.CL2023
Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models
Mohammadreza Banaei, Klaudia Bałazy, Artur Kasymov +3
Recent transformer language models achieve outstanding results in many natural language processing (NLP) tasks. However, their enormous size often makes them impractical on memory-…