Answer-Level Semantic Shift under Sparse Keyword Rendering: A Measurement Study with a Small Language Model

This manuscript is a preprint and has not been peer reviewed. Experimental data are not publicly distributed and may be made available by the author upon reasonable request.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-02
DOI
https://doi.org/10.5281/zenodo.23864336
Primary Topic
Topic Modeling
Type
preprint
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preprint

Answer-Level Semantic Shift under Sparse Keyword Rendering: A Measurement Study with a Small Language Model

Wayne Liang
Zenodo (CERN European Organization for Nuclear Research)
Topic Modeling
preprint

Answer-Level Semantic Shift under Sparse Keyword Rendering: A Measurement Study with a Small Language Model

Wayne Liang
preprint en

Abstract

This manuscript is a preprint and has not been peer reviewed. Experimental data are not publicly distributed and may be made available by the author upon reasonable request.

Zenodo (CERN European Organization for Nuclear Research)
Topic Modeling
DOIOpen Access PDFOpenAlex
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Answer-Level Semantic Shift under Sparse Keyword Rendering: A Measurement Study with a Small Language Model — Wayne Liang · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS