MARVEL: Modular Abstention for Reliable and Versatile Expert LLMs
A modular abstention framework for reliable expert LLMs that enables selective abstention from uncertain questions.
A modular abstention framework for reliable expert LLMs that enables selective abstention from uncertain questions.
Exploring psychological insights to address overconfidence in LLMs by comparing with human confidence patterns.
Automatic prediction of compute-optimal data composition for efficient LLM training.
A comprehensive survey of abstention mechanisms in large language models, covering theory, implementation, and evaluation.
Characterizing LLM abstention behavior in science QA with context perturbations.