**KaLM-Reranker-V1: Fast but Not Late Interaction for Compressed Document Rerank

**KaLM-Reranker-V1: Fast but Not Late Interaction for Compressed Document Reranking**

> As retrieval systems scale, high-quality reranking becomes increasingly important. However, most existing rerankers, whether encoder-based or decoder-based, jointly encode the query and passage, tightly coupling their computation and limiting deployment efficiency as well as flexibility. We present KaLM-Reranker-V1, a fast but not late-interaction (FBNL) reranker that decouples query and passage computation while ret...

**来源信息**
- **来源**：HuggingFace Daily Papers（社区热门论文）
- **分类**：ai-models
- **发布时间**：2026-06-23 08:00（北京时间）
- **原文**：[打开原文](https://huggingface.co/papers/2606.22807)