2 papers
cs.CL2026
Merging Methods for Multilingual Knowledge Editing for Large Language Models: An Empirical Odyssey
Kunil Lee, Ki-Young Shin, Jong-Hyeok Lee +1
Multilingual knowledge editing (MKE) remains challenging because language-specific edits interfere with one another, even when locate-then-edit methods work well in monolingual set…
cs.CL2026
Taxation Perspectives from Large Language Models: A Case Study on Additional Tax Penalties
Eunkyung Choi, Youngjin Suh, Siun Lee +5
How capable are large language models (LLMs) in the domain of taxation? Although numerous studies have explored the legal domain, research dedicated to taxation remains scarce. Mor…