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cs.CL2025
CReSt: A Comprehensive Benchmark for Retrieval-Augmented Generation with Complex Reasoning over Structured Documents
Minsoo Khang, Sangjun Park, Teakgyu Hong +1
Large Language Models (LLMs) have made substantial progress in recent years, yet evaluating their capabilities in practical Retrieval-Augmented Generation (RAG) scenarios remains c…
cs.CL2025
KIEval: Evaluation Metric for Document Key Information Extraction
Minsoo Khang, Sang Chul Jung, Sungrae Park +1
Document Key Information Extraction (KIE) is a technology that transforms valuable information in document images into structured data, and it has become an essential function in i…
cs.CL2025
System Message Generation for User Preferences using Open-Source Models
Minbyul Jeong, Jungho Cho, Minsoo Khang +2
System messages play a crucial role in interactions with large language models (LLMs), often serving as prompts to initiate conversations. Through system messages, users can assign…