3 papers
cs.CL2025
When Language Shapes Thought: Cross-Lingual Transfer of Factual Knowledge in Question Answering
Eojin Kang, Juae Kim
Multilingual large language models (LLMs) offer promising opportunities for cross-lingual information access, yet their use of factual knowledge remains highly sensitive to the inp…
cs.CL2025
Exploring the Impact of Occupational Personas on Domain-Specific QA
Eojin Kang, Jaehyuk Yu, Juae Kim
Recent studies on personas have improved the way Large Language Models (LLMs) interact with users. However, the effect of personas on domain-specific question-answering (QA) tasks…
cs.CL2024
Causal Reasoning in Large Language Models: A Knowledge Graph Approach
Yejin Kim, Eojin Kang, Juae Kim +1
Large language models (LLMs) typically improve performance by either retrieving semantically similar information, or enhancing reasoning abilities through structured prompts like c…