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| title: Evidence Graph Reranker | |
| emoji: 🧩 | |
| colorFrom: blue | |
| colorTo: indigo | |
| sdk: gradio | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| tags: | |
| - rag | |
| - reranking | |
| - multi-hop-qa | |
| - evidence-retrieval | |
| # Evidence-Graph Reranker — Hugging Face Space | |
| **A query-conditioned, training-free, joint evidence-subset reranker.** This Space scores query–passage pairs using the public MS MARCO MiniLM-L6 cross-encoder or all-MiniLM-L6 dense encoder, then selects passages with the **same fixed graph algorithm** evaluated on six evidence benchmarks. | |
| For installation, API examples, full six-dataset results and caveats, see [PACKAGE_README.md](PACKAGE_README.md), [MODEL_CARD.md](MODEL_CARD.md), and [results/methodology.md](results/methodology.md). | |
| **Not a new pretrained language model:** This repository provides an algorithm plus an optional Space. It downloads official neural scorer checkpoints on first use; no original model weights are redistributed. | |