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Autonomous LLM-Driven Research — from Data to Human-Verifiable Research Papers
Presenter Nayoon Gim, BS, will discuss Autonomous LLM-Driven Research — from Data to Human-Verifiable Research Papers ( Published December 3, 2024; NEJM AI 2025;2(1); DOI: 10.1056/AIoa2400555)
Speaker: Nayoon Gim
Research Scientist
MD/PhD (MSTP) student University of Washington
BS, Chemical Engineering and Biochemistry, Northeastern University
Abstract (excerpt):
Artificial intelligence (AI) promises to accelerate scientific discovery, but it remains unclear whether AI systems can perform fully autonomous research, and whether they can do so while adhering to key scientific values, such as transparency, traceability, and verifiability. The aim of this study was to develop and evaluate an AI-automation platform that performs transparent, traceable, and human-verifiable scientific research.
To mimic human scientific practices, we built “data-to-paper,” an automation platform that guides interacting large language model (LLM) agents through a complete stepwise research process that starts with annotated dat…
Event interval: Single day event. Campus location: South Lake Union Building F (SL32). Online Meeting Link: https://washington.zoom.us/j/92158637394?pwd=pi87aK9LVz5Jx7KTPgVq0SX7d2xNIL.1. Accessibility Contact: imds@uw.edu. Event Types: Lectures/Seminars. Target Audience: UW Medical Data Science Researchers.
Monday, June 9, 2025, 1:00 PM – 2:00 PM.