4 papers
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…
Korean Canonical Legal Benchmark: Toward Knowledge-Independent Evaluation of LLMs' Legal Reasoning Capabilities
Hongseok Oh, Wonseok Hwang, Kyoung-Woon On
We introduce the Korean Canonical Legal Benchmark (KCL), a benchmark designed to assess language models' legal reasoning capabilities independently of domain-specific knowledge. KC…
LRAGE: Legal Retrieval Augmented Generation Evaluation Tool
Minhu Park, Hongseok Oh, Eunkyung Choi +1
Recently, building retrieval-augmented generation (RAG) systems to enhance the capability of large language models (LLMs) has become a common practice. Especially in the legal doma…
Developing a Pragmatic Benchmark for Assessing Korean Legal Language Understanding in Large Language Models
Yeeun Kim, Young Rok Choi, Eunkyung Choi +3
Large language models (LLMs) have demonstrated remarkable performance in the legal domain, with GPT-4 even passing the Uniform Bar Exam in the U.S. However their efficacy remains l…