LexTempus: Enhancing Temporal Generalizability of Legal Language Models Through Dynamic Mixture of Experts

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.acl-long.329
Citations
1
Primary Topic
Artificial Intelligence in Law
Type
article
Field-Weighted Citation Impact
8.52
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article

LexTempus: Enhancing Temporal Generalizability of Legal Language Models Through Dynamic Mixture of Experts

Santosh T.y.s.s, Tuan-Quang Vuong
1 citations
Artificial Intelligence in Law
8.52
article

LexTempus: Enhancing Temporal Generalizability of Legal Language Models Through Dynamic Mixture of Experts

Santosh T.y.s.s, Tuan-Quang Vuong
article en
1 citations

Abstract

No abstract available for this paper.
Peace, Justice and strong institutions
Openalex Percentile: Top 3%
Artificial Intelligence in Law
8.52
DOIOpen Access PDFOpenAlex
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LexTempus: Enhancing Temporal Generalizability of Legal Language Models Through Dynamic Mixture of Experts — Santosh T.y.s.s, Tuan-Quang Vuong · (2025) | TGRS Research Map | TGRS