Enhancing Transformer-Based Rerankers with Synthetic Data and LLM-Based Supervision

Dimitar Peshevski, Kiril Blazhevski, Martin Popovski +1

Effective document reranking is essential for improving search relevance across diverse applications. While Large Language Models (LLMs) excel at reranking due to their deep semant…