FIRST: Faster Improved Listwise Reranking with Single Token Decoding

By Revanth Gangi Reddy, Jae Doo, Yifei Xu, Md Arafat Sultan, D. Swain, Avirup Sil, Heng Ji. 2024

Subfields: Information Retrieval & Search, Large Language Models

Citations in the corpus

• CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking (2024, unknown): “Recently, listwise reranking approaches (Pradeep et al., 2023; Reddy et al., 2024) have gained popularity for their ability to score multiple passages simultaneously, as opposed to pointwise Zhuang et al. (2023a;c) or pairwise Qin et al. (2023) reranking, where scoring is performed in isolation.”
• SweRank: Software Issue Localization with Code Ranking (2025, unknown): “S WE R ANK LLM adopts a listwise ranking approach (Pradeep et al., 2023b; Reddy et al., 2024), which generally offers better performance than pointwise methods by considering the relative relevance of candidates.”