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Found 2 papers, 2 papers with code
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation
This motivates us to enhance the LLMs' ability to perceive their knowledge boundaries to help RA.
A Comparative Study of Training Objectives for Clarification Facet Generation
In this paper, we aim to conduct a systematic comparative study of various types of training objectives, with different properties of not only whether it is permutation-invariant but also whether it conducts sequential prediction and whether it can control the count of output facets.
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