Work

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

Year: 2025

Type: conference-paper

Abstract: peer reviewed

Source: Annual Meeting of the Association for Computational Linguistics (ACL)

DOI: 10.18653/v1/2025.acl-long.329

Authors: Santosh T.y.s.s, Tuan-Quang Vuong

Language: English

Topic: Artificial Intelligence in Law

Subfield: Political Science and International Relations

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W4412945524

FWCI: 6.181

Cites:

Cited by: 1

Related to: 10