ThursdAI > Guest Directory > Jiwoo Hong
Guest
Bio
Jiwoo is a researcher at KAIST AI and lead author of ORPO (Odds Ratio Preference Optimization), a landmark 2024 paper introducing a reference-model-free approach to LLM alignment that simplifies fine-tuning and preference optimization into a single training step. ORPO was adopted by Hugging Face's TRL library and influenced several model fine-tuning pipelines.
Episodes
Guest Network — Also Appeared With
Jiwoo Hong on ThursdAI Podcast
Jiwoo Hong appeared as a guest on ThursdAI, the weekly AI news podcast hosted by Alex Volkov. Browse the full guest directory or subscribe on Substack to never miss an episode.
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