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Verified signature--- language: - en license: mit library_name: transformers tags: - citation-verification - retrieval-augmented-generation - rag - cross-lingual - deberta - cross-encoder - nli - attribution pipeline_tag: text-classification datasets: - fever - din0s/asqa - miracl/hagrid metrics: - f1 - precision - recall - accuracy - roc_auc base_model: microsoft/deberta-v3-base model-index: - name: dualtrack-alignment-module results: - task: type: text-classification name: Citation Verification metrics: - type: f1 value: 0.89 name: F1 Score - type: accuracy value: 0.87 name: Accuracy - type: roc_auc value: 0.94 name: ROC-AUC --- # DualTrack Alignment Module > **Anonymous submission to ACL 2026** A cross-encoder model for detecting **citation drift** in Retrieval-Augmented Generation (RAG) systems. Given a user-facing claim, an evidence representation, and a source passage, the model predicts whether the citation is valid (the sourc…ee26f70 -
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Verified signature--- language: - en license: mit library_name: transformers tags: - citation-verification - retrieval-augmented-generation - rag - cross-lingual - deberta - cross-encoder - nli - attribution pipeline_tag: text-classification datasets: - fever - din0s/asqa - miracl/hagrid metrics: - f1 - precision - recall - accuracy - roc_auc base_model: microsoft/deberta-v3-base model-index: - name: dualtrack-alignment-module results: - task: type: text-classification name: Citation Verification metrics: - type: f1 value: 0.89 name: F1 Score - type: accuracy value: 0.87 name: Accuracy - type: roc_auc value: 0.94 name: ROC-AUC --- # DualTrack Alignment Module > **Anonymous submission to ACL 2026** A cross-encoder model for detecting **citation drift** in Retrieval-Augmented Generation (RAG) systems. Given a user-facing claim, an evidence representation, and a source passage, the model predicts whether the citation is valid (the sourc…bac405a -
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Verified signature--- language: - en license: mit library_name: transformers tags: - citation-verification - retrieval-augmented-generation - rag - cross-lingual - deberta - cross-encoder - nli - attribution pipeline_tag: text-classification datasets: - fever - din0s/asqa - miracl/hagrid metrics: - f1 - precision - recall - accuracy - roc_auc base_model: microsoft/deberta-v3-base model-index: - name: dualtrack-alignment-module results: - task: type: text-classification name: Citation Verification metrics: - type: f1 value: 0.89 name: F1 Score - type: accuracy value: 0.87 name: Accuracy - type: roc_auc value: 0.94 name: ROC-AUC --- # DualTrack Alignment Module > **Anonymous submission to ACL 2026** A cross-encoder model for detecting **citation drift** in Retrieval-Augmented Generation (RAG) systems. Given a user-facing claim, an evidence representation, and a source passage, the model predicts whether the citation is valid (the sourc…5a5e091 -
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