Maya Iratni

Query-Aware Context Selection for Retrieval-Augmented Generation

This work conducts an empirical study of how irrelevant retrieved passages affect downstream generation, and proposes a lightweight, context-size classification module that dynamically predicts how much context is required based on query-specific needs.