TI Methods Speaker Series: Elicit: Applying language models to evidence synthesis

27 Jul 2022 TI Methods Speaker Series: Elicit: Applying language models to evidence synthesis

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This talk introduced Elicit, an AI research assistant inspired by the systematic review process. The talk explored how Elicit uses language models and other machine learning methods to enable unique search and text extraction features. It also discussed the challenges of working with such new technology, notable failure modes, and insights from the current user base of researchers.

“Elicit can find relevant papers without perfect keyword match, summarize takeaways from the paper specific to your question, and extract key information from the papers.” – from Elicit.org website.

WHEN: Wednesday, July 27th, 2022 from 12:00 to 1:00 PM PDT [convert to your local time]

WHERE: Offered online using the Zoom platform.

TITLE: Elicit: Applying language models to evidence synthesis

SPEAKER: Jungwon Byun, COO and cofounder of Ought

About the speaker: Jungwon Byun is the COO and cofounder of Ought, a machine learning research lab. Ought builds Elicit, an AI research assistant using language models to automate parts of literature review. Elicit helps researchers find relevant papers, extract key information, and summarize them. Prior to Ought, Jungwon was the Head of Growth at Upstart, a fintech company using machine learning for consumer credit. She was also a management consultant and graduated cum laude from Yale with a B.A. in economics.

About the TI Methods Speaker Series: The TI Methods Speaker Series are offered free of charge and everyone is welcome. The event is held at noon on the last Wednesday of each month. During the COVID-19 pandemic, while physical distancing measures are in effect, the TI Methods Speaker Series are offered via videoconference. The presentations are recorded and the video recordings are posted online. Click here to view the scheduled topics for 2022 and click here to view a list of TI Methods Speaker Series talks offered in 2021.