← Search

Ik-hwan Kim

2 accepted papers

2025

Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis

ACL 2025long

Personalized AI assistants, a hallmark of the human-like capabilities of Large Language Models (LLMs), are a challenging application that intertwines multiple problems in LLM research. Despite the growing interest in the development of personalized assistants, the lack of an open-source conversation…

2025

Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context

NAACL 2025findings

Multi-hop reasoning, which requires multi-step reasoning based on the supporting documents within a given context, remains challenging for large language models (LLMs). LLMs often struggle to filter out irrelevant documents within the context, and their performance is sensitive to the absolute posit…

Cited by 0SourcePDFScholar