Direct Preference Optimization (DPO): A Technical Note

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.

Authors

Dheiver Francisco Santos (ORCID: https://orcid.org/0000-0002-8599-9436)

Institutions

Oldham Council (GB)

Publication Details

Journal: Zenodo (CERN European Organization for Nuclear Research)
Published: 2026-07-26
DOI: https://doi.org/10.5281/zenodo.21609911
Primary Topic: Constraint Satisfaction and Optimization
Type: article
Field-Weighted Citation Impact: 0.00

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article

Direct Preference Optimization (DPO): A Technical Note

Dheiver Francisco Santos

Jul 26, 2026

Zenodo (CERN European Organization for Nuclear Research)

Constraint Satisfaction and Optimization

article

Direct Preference Optimization (DPO): A Technical Note

Dheiver Francisco Santos

July 26, 2026article en

Abstract

Zenodo (CERN European Organization for Nuclear Research)

Oldham Council (GB)

Openalex Percentile: Top 7%

Constraint Satisfaction and Optimization

DOI Open Access PDF OpenAlex

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