---
title: KaLM Reranker
emoji: 🚀
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 6.20.0
python_version: '3.12'
app_file: app.py
pinned: false
license: apache-2.0
short_description: Fast but Not Late Interaction Reranker
---

# KaLM Reranker — Compressed Document Reranking

An interactive demo for [KaLM-Reranker-V1-Small](https://huggingface.co/KaLM-Embedding/KaLM-Reranker-V1-Small), a fast but not late-interaction reranker for efficient query-document relevance scoring.

## Features

- **Semantic Reranking:** rank a set of documents for one query.
- **Pair Relevance:** return the relevance probability for one query-document pair.
- **Compression Explorer:** compare relevance scores and estimated encoder representation lengths at 1×–32× compression.

The compression factor maps to the official `chunk_size` hyperparameter. Larger values pool more encoder token states into one chunk, reducing the document representation passed to the decoder.

## Citation

```bibtex
@misc{zhao2026kalmrerankerv1,
  title={KaLM-Reranker-V1: Fast but Not Late Interaction for Compressed Document Reranking},
  author={Xinping Zhao and Jiaxin Xu and Ziqi Dai and Xin Zhang and Shouzheng Huang and Danyu Tang and Xinshuo Hu and Meishan Zhang and Baotian Hu and Min Zhang},
  year={2026},
  eprint={2606.22807},
  archivePrefix={arXiv},
  primaryClass={cs.CL},
  url={https://arxiv.org/abs/2606.22807}
}
```