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Steering Large Language Models for Cross-lingual Information Retrieval - Multilingual Retrieval

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

Information Retrieval Courses Artificial Intelligence Courses Machine Learning Courses Computational Linguistics Courses

Course Description

Overview

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Explore cutting-edge research on leveraging large language models for cross-lingual information retrieval in this 16-minute conference talk from SIGIR 2024. Delve into the innovative approaches presented by authors Ping Guo, Yue Hu, Yanan Cao, Yubing Ren, Heyan Huang, and Yunpeng Li as they discuss strategies for steering these powerful models to enhance multilingual retrieval capabilities. Gain insights into the latest advancements in natural language processing and information retrieval techniques that bridge language barriers and improve search efficiency across diverse linguistic landscapes.

Syllabus

SIGIR 2024 M2.4 [fp] Steering Large Language Models for Cross-lingual Information Retrieval


Taught by

Association for Computing Machinery (ACM)

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