ResearchTrend.AI
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback
v1v2 (latest)

Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Katherine Tian
E. Mitchell
Allan Zhou
Archit Sharma
Rafael Rafailov
Huaxiu Yao
Chelsea Finn
Christopher D. Manning
ArXiv (abs)PDFHTML

Papers citing "Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback"

1 / 101 papers shown
Title
RetICL: Sequential Retrieval of In-Context Examples with Reinforcement Learning
RetICL: Sequential Retrieval of In-Context Examples with Reinforcement Learning
Alexander Scarlatos
Andrew Lan
OffRLLRM
104
24
0
23 May 2023

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.