6 citations · 18 across the 13 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.CL2025★ 1 cited
Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded Updates
Atsuki Yamaguchi, Terufumi Morishita, Aline Villavicencio +1
Expanding the linguistic diversity of instruct large language models (LLMs) is crucial for global accessibility but is often hindered by the reliance on costly specialized target l…
cs.CR2025
A Nested Watermark for Large Language Models
Koichi Nagatsuka, Terufumi Morishita, Yasuhiro Sogawa
The rapid advancement of large language models (LLMs) has raised concerns regarding their potential misuse, particularly in generating fake news and misinformation. To address thes…