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Inference Under Opposition: Counterfactual Evaluation for Answer Stability in Large Language Models

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Τίτλος: Inference Under Opposition: Counterfactual Evaluation for Answer Stability in Large Language Models
Συγγραφείς: Akhand, Md. Nafis Tahmid, Akbar, Khandakar Ashrafi, Thuraisingham, Bhavani
Πηγή: 2026 IEEE International Conference on Information Reuse and Integration for Data Science (IRI) IRI Information Reuse and Integration for Data Science (IRI), 2026 IEEE International Conference on. :275-281 Jul, 2026
Relation: 2026 IEEE International Conference on Information Reuse and Integration for Data Science (IRI)
Βάση Δεδομένων: IEEE Xplore Digital Library
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        Value: 10.1109/IRI69576.2026.00059
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