1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CL2026
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…
cs.CL2025★ 1 cited
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…
cs.CV2025
Do Vision Encoders Truly Explain Object Hallucination?: Mitigating Object Hallucination via Simple Fine-Grained CLIPScore
Hongseok Oh, Wonseok Hwang
Recently, Large Vision-Language Models (LVLMs) show remarkable performance across various domains. However, these models suffer from object hallucination. In this work, we study ob…