Completed
- Intro & Overview
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Classroom Contents
Learning to Summarize from Human Feedback
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- 1 - Intro & Overview
- 2 - Summarization as a Task
- 3 - Problems with the ROUGE Metric
- 4 - Training Supervised Models
- 5 - Main Results
- 6 - Including Human Feedback with Reward Models & RL
- 7 - The Unknown Effect of Better Data
- 8 - KL Constraint & Connection to Adversarial Examples
- 9 - More Results
- 10 - Understanding the Reward Model
- 11 - Limitations & Broader Impact
