Explore a 15-minute conference talk on Multilingual Meta-Distillation Alignment for Semantic Retrieval presented at SIGIR 2024. Delve into the research conducted by authors Meryem M'Hamdi, Jonathan May, Franck Dernoncourt, Trung Bui, and Seunghyun Yoon as they discuss advanced techniques in multilingual retrieval. Gain insights into how meta-distillation alignment can enhance semantic retrieval across multiple languages, potentially improving cross-lingual information access and search capabilities. Learn about the latest developments in this field and their implications for natural language processing and information retrieval systems.
Multilingual Meta-Distillation Alignment for Semantic Retrieval - Session M2.4
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
SIGIR 2024 M2.4 [fp] Multilingual Meta-Distillation Alignment for Semantic Retrieval
Taught by
Association for Computing Machinery (ACM)
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