Papers by Shirin Dabbaghi Varnosfaderani

1 papers
Bridging Textual and Tabular Worlds for Fact Verification: A Lightweight, Attention-Based Model (2024.lrec-main)

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Challenge: Existing fact-checking systems rely on extensive preprocessing and rule-based transformations, leading to potential context loss or misleading encodings.
Approach: They propose a simple yet powerful model that nullifies the need for modality conversion, thereby preserving the original evidence’s context.
Outcome: The proposed model nullifies the need for modality conversion, preserving the original evidence’s context.

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