LLM Corpus Filtering Proposal

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Main Author: Wolevon, Rhy
Format: Recurso digital
Language:English
Published: Zenodo 2025
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author Wolevon, Rhy
author_facet Wolevon, Rhy
contents <p>This document proposes a lightweight architecture for filtering rare but semantically high-value conversation windows in LLM training, leveraging rare-hit triggers as scoring conditions. It outlines a prototype-phase pipeline and tiered annotation strategy aimed at extracting more meaningful data from long-form dialogue.</p> <p> The concept originated from user-side observation and reverse-engineering of language model response behavior. Language structuring and formatting were assisted by ChatGPT-4o.</p> <p>This document is released under the <strong>Creative Commons Attribution 4.0 International (CC BY 4.0)</strong> license.<br>It may be freely shared, cited, and adapted—including for commercial use—<strong>provided that proper credit is given to the original author, Rhy Wolevon</strong>.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_15148950
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language eng
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle LLM Corpus Filtering Proposal
Wolevon, Rhy
language model
data filtering
dialogue window
rare-hit
LLM training
prototype
semantic annotation
<p>This document proposes a lightweight architecture for filtering rare but semantically high-value conversation windows in LLM training, leveraging rare-hit triggers as scoring conditions. It outlines a prototype-phase pipeline and tiered annotation strategy aimed at extracting more meaningful data from long-form dialogue.</p> <p> The concept originated from user-side observation and reverse-engineering of language model response behavior. Language structuring and formatting were assisted by ChatGPT-4o.</p> <p>This document is released under the <strong>Creative Commons Attribution 4.0 International (CC BY 4.0)</strong> license.<br>It may be freely shared, cited, and adapted—including for commercial use—<strong>provided that proper credit is given to the original author, Rhy Wolevon</strong>.</p>
title LLM Corpus Filtering Proposal
topic language model
data filtering
dialogue window
rare-hit
LLM training
prototype
semantic annotation
url https://doi.org/10.5281/zenodo.15148950