Article

Optimizing Human-Controlled Preference Alignment in Large Language Models via Dense Token Masking: A Methodological Approach

2024-10-14

Abstract excerpt

The ability to control and align the outputs of advanced language models with predefined human preferences has become increasingly essential across various applications. Traditional methods that rely heavily on human feedback and expert reviews often face challenges related to scalability, subjectivity, and inefficiency, particularly when applied to largescale tasks. A novel approach, dense token masking, offers a...

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Literature Corpus work: bc61a467-74fc-5f5e-9251-7b55b60edd81
DOI: 10.22541/au.172893905.53516140/v1

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