Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
Introduction
00:00 • 2min
The Future of Cognitive Science
01:34 • 2min
How Large Language Models Can Help Scale Peer Review
03:32 • 2min
How to Do a Peer Review Round Trip
05:05 • 2min
How Machine Learning Can Predict Abstract Acceptance
06:39 • 2min
The Origins of Review GPT
08:47 • 2min
The Importance of Language Models in Review Processes
11:04 • 3min
The Performance of GPD4 on Error Detection
14:02 • 2min
How to Rate a Language Model
16:30 • 3min
The Use Case for a Checklist Questionnaire
19:09 • 2min
The Importance of Labeling Answers
20:46 • 4min
GPT-4 and the Third Use Case
24:43 • 2min
The Effects of Damage on the Evaluation of a Paper
26:33 • 3min
How to Use GPD4 for Conference Peer Review
29:26 • 2min
How to Use GPT to Assign Reviewers to Papers
31:22 • 2min
The Future of Large Language Models
33:37 • 2min