ThursdAI > Guest Directory > Noah Lee
Guest
Bio
Noah Lee is a researcher at KAIST AI and co-author of the ORPO paper, which introduced a monolithic preference optimization method that eliminates the need for a reference model during LLM fine-tuning. ORPO simplifies alignment by combining fine-tuning and preference learning in a single step.
Episodes
Guest Network — Also Appeared With
Noah Lee on ThursdAI Podcast
Noah Lee 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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