Author

Hyeon Hwang

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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

Jul 2026

TheBioCollection: Unified Pre-Training Scale LLM Corpus for Biology

This work presents TheBioCollection, a 52.6B-token pre-training-scale corpus that converts these disparate resources into a unified, training-ready form spanning small molecules, proteins, genomic sequences, cells, and pathways, and introduces new instruction tasks for capabilities that current corpora barely cover.

Hyunjin Seo, Hyeon Hwang, Gyubok Lee et al. · arXiv.org · 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