![Virtual Meeting with Authors of "Learning from Naturally Occurring Feedback" [AI Tinkerers - Paper Club]](https://sloppy-joe-app.imgix.net/blog_images/paper-club-page-logo-png-Ozj_.png?w=300&fit=max&auto=format%2Ccompress&q=75){kind=logo}
Virtual Meeting with Authors of "Learning from Naturally Occurring Feedback"
Event Ended
This event has already taken place.
Join Our Virtual Meeting with the Authors of “Learning from Naturally Occurring Feedback”
Don’t miss this unique opportunity to engage with leading AI researchers!
☝️ Register Above for this Live Virtual Meeting with the Authors! ☝️
| Info | Details |
|---|---|
| Event | Virtual Meeting with Authors of “Learning from Naturally Occurring Feedback” |
| Date & Time | September 17, 2024, 12:00 PM EST |
| Presenters | Shachar Don-Yehiya, Leshem Choshen, and Omri Abend (Hebrew University of Jerusalem, IBM) |
| Research Paper | 📄 Learning from Naturally Occurring Feedback |
| Audio Version |
By Paper2Audio |
About the Paper:
This groundbreaking paper proposes a scalable method for extracting and leveraging naturally occurring feedback in user interactions with chat models. The authors demonstrate significant performance improvements in model alignment to human preferences using this approach.
- Extraction of naturally occurring feedback from user interactions
- Manual annotation confirming feedback presence in 30% of chats
- Application to over 1M conversations, yielding hundreds of thousands of feedback samples
- Significant performance improvements in models trained with extracted feedback
What is Paper Club?
Paper Club is a virtual event series brought to you by the Human Feedback Foundation in collaboration with AI Tinkerers, featuring authors of cutting-edge AI and machine learning papers. These online meetups allow attendees to hear about groundbreaking research directly from the authors, participate in live Q&A sessions, and engage in discussions. Open to all, Paper Club offers a regular opportunity to learn and interact with leaders in the rapidly evolving field of artificial intelligence.