Author

Minju Song

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#artificial intelligence Preprint Oct 2026

Self-Assessment Reinforcement Learning for Search-State Awareness in Retrieval-Augmented Large Language Models

Recent advances in search agents have enabled large language models to tackle complex tasks by retrieving and synthesizing external information. However, existing search agents often lack search-state awareness, i.e., the ability to recognize what information has been obtained and what remains missing, leading to hallu...

Taewhoo Lee, Min-Ju Song, Jungwoo Park et al. · 0 citations

Open access Jan 2026

Ensemble multi-retrieval methodologies with reasoning model decision in multi-step biomedical QA

Abstract Robust and trustworthy biomedical question answering (QA) remains a critical challenge for large language models (LLMs), especially in complex domains such as rare diseases, where information is fragmented across multiple sources. MedHopQA 2025 benchmark introduces 10 000 multi-step reasoning questions curated...

Jongmyung Jung, Hyeon Hwang, Yein Park et al. · Database: The Journal of Bio... · 0 citations

#artificial intelligence Preprint Aug 2026

Enhancing Low-Resource Language Reasoning via High-Resource Language Feature Transfer

A mechanistic intervention framework for identifying and transferring task-relevant sparse latent features across languages and reframes some cross-lingual reasoning gaps as failures of mechanism elicitation rather than capability absence, and offers a causally testable route to feature-mediated transfer without transl...

Minju Song, Hyeon Hwang, Junhyun Lee et al. · 0 citations