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Direct Preference Optimization (DPO): A Technical Note

Year: 2026

Type: article

Abstract: A technical note on Direct Preference Optimization (DPO), a method for aligning language models with human preferences without a separate reward model. It covers the training objective, how it relates to RLHF, and practical trade-offs for implementation.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.21609910

Author: Santos, Dheiver

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7171326285

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