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20242026
most citedSAFE-SQL: Self-Augmented In-Context Learning with Fine-grained Example Selection for Text-to-SQL

1 citations · 1 across the 15 of their papers we have counts for

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cs.CL2025

MARCH: Evaluating the Intersection of Ambiguity Interpretation and Multi-hop Inference

Jeonghyun Park, Ingeol Baek, Seunghyun Yoon +5

Real-world multi-hop QA is naturally linked with ambiguity, where a single query can trigger multiple reasoning paths that require independent resolution. Since ambiguity can occur…

cs.CL2025

Chronological Passage Assembling in RAG framework for Temporal Question Answering

Byeongjeong Kim, Jeonghyun Park, Joonho Yang +1

Long-context question answering over narrative tasks is challenging because correct answers often hinge on reconstructing a coherent timeline of events while preserving contextual…

cs.CL2025

Personality Editing for Language Models through Adjusting Self-Referential Queries

Seojin Hwang, Yumin Kim, Byeongjeong Kim +2

Large Language Models (LLMs) are integral to applications such as conversational agents and content creation, where precise control over a model's personality is essential for main…

cs.CL2025★ 1 cited

SAFE-SQL: Self-Augmented In-Context Learning with Fine-grained Example Selection for Text-to-SQL

Jimin Lee, Ingeol Baek, Byeongjeong Kim +2

Text-to-SQL aims to convert natural language questions into executable SQL queries. While previous approaches, such as skeleton-masked selection, have demonstrated strong performan…

cs.CL2025

Investigating Language Preference of Multilingual RAG Systems

Jeonghyun Park, Hwanhee Lee

Multilingual Retrieval-Augmented Generation (mRAG) systems enhance language models by integrating external multilingual information to produce context-aware responses. However, mRA…