1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CL2026
EMCEE: Improving Multilingual Capability of LLMs via Bridging Knowledge and Reasoning with Extracted Synthetic Multilingual Context
Hamin Koo, Jaehyung Kim
Large Language Models (LLMs) have achieved impressive progress across a wide range of tasks, yet their heavy reliance on English-centric training data leads to significant performa…
cs.AI2026★ 1 cited
Align to Misalign: Automatic LLM Jailbreak with Meta-Optimized LLM Judges
Hamin Koo, Minseon Kim, Jaehyung Kim
Identifying the vulnerabilities of large language models (LLMs) is crucial for improving their safety by addressing inherent weaknesses. Jailbreaks, in which adversaries bypass saf…
cs.IR2024
Optimizing Query Generation for Enhanced Document Retrieval in RAG
Hamin Koo, Minseon Kim, Sung Ju Hwang
Large Language Models (LLMs) excel in various language tasks but they often generate incorrect information, a phenomenon known as "hallucinations". Retrieval-Augmented Generation (…