Papers by Hamza A Javed
Cross-Examination Framework: A Task-Agnostic Diagnostic for Information Fidelity in Text-to-Text Generation (2026.acl-long)
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Tathagata Raha, Clement Christophe, Nada Saadi, Hamza A Javed, Marco AF Pimentel, Ronnie Rajan, Praveenkumar Kanithi
| Challenge: | Traditional metrics like BLEU and BERTScore fail to capture semantic fidelity in generative text-to-text tasks. |
| Approach: | They propose a cross-examination framework that generates verifiable questions from each text and performs a Cross-exam to derive three interpretable scores: Coverage, Conformity, and Consistency. |
| Outcome: | The proposed framework detects critical errors across translation, summarization and clinical note-generation and human expert validation shows it is reliable without gold references. |