68 citations · 137 across the 9 of their papers we have counts for
Showing cs.CLShow all
2 papers · 1 filter
cs.CL2023★ 1 cited
A Study on the Calibration of In-context Learning
Hanlin Zhang, Yi-Fan Zhang, Yaodong Yu +5
Accurate uncertainty quantification is crucial for the safe deployment of machine learning models, and prior research has demonstrated improvements in the calibration of modern lan…
cs.CL2022★ 4 cited
Evaluating Step-by-Step Reasoning through Symbolic Verification
Yi-Fan Zhang, Hanlin Zhang, Li Erran Li +1
Pre-trained language models (LMs) have shown remarkable reasoning performance using explanations or chain-of-thoughts (CoT)) for in-context learning. On the other hand, these reaso…