Search Results for author:
Found 2 papers, 1 papers with code
Uncertainty Quantification for In-Context Learning of Large Language Models
Existing works have been devoted to quantifying the uncertainty in LLM's response, but they often overlook the complex nature of LLMs and the uniqueness of in-context learning.
Open-ended Commonsense Reasoning with Unrestricted Answer Scope
In this work, we leverage pre-trained language models to iteratively retrieve reasoning paths on the external knowledge base, which does not require task-specific supervision.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
