Knowledge Distillation and Self-Distillation for Language Models

A technical note covering knowledge distillation and self-distillation techniques used to compress and improve large language models while retaining task performance.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-26
DOI
https://doi.org/10.5281/zenodo.21610099
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
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article

Knowledge Distillation and Self-Distillation for Language Models

Dheiver Francisco Santos
Zenodo (CERN European Organization for Nuclear Research)
Topic Modeling
article

Knowledge Distillation and Self-Distillation for Language Models

Dheiver Francisco Santos
article en

Abstract

A technical note covering knowledge distillation and self-distillation techniques used to compress and improve large language models while retaining task performance.

Zenodo (CERN European Organization for Nuclear Research)
Oldham Council (GB)
Openalex Percentile: Top 7%
Topic Modeling
DOIOpen Access PDFOpenAlex
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Knowledge Distillation and Self-Distillation for Language Models — Dheiver Francisco Santos · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS