Ranking-aware contrastive learning with large language models

Generating high-quality word and sentence representations is a foundational task in natural language processing (NLP). In recent years, various embedding methodologies have been proposed, notably those leveraging the capabilities of large language models for in-context learning. Research has shown t...

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Bibliographic Details
Main Author: Hu, Yuqi
Other Authors: Lihui Chen
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/177983
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Institution: Nanyang Technological University
Language: English

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