alihur-ecu/cve-cwe-crossencoder
Fine-tuned cross-encoder for CVE→CWE ranking (cve2graph Phase 26).
- Base model:
cross-encoder/ms-marco-MiniLM-L-6-v2 - Training: 3 epochs on in-domain CVE/CWE pairs (hard negatives from Phase 24 fusion ranker)
- Test Hits@10: 0.7165
- Test MRR: 0.6026
- Fusion: rerank top-200 CWE candidates with cross-encoder weight λ=0.5
Usage
from sentence_transformers import CrossEncoder
model = CrossEncoder("alihur-ecu/cve-cwe-crossencoder")
scores = model.predict([("CVE description text", "CWE description text")])
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