Papers by Alvi Ishmam

1 papers
M3D: MultiModal MultiDocument Fine-Grained Inconsistency Detection (2024.emnlp-main)

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Challenge: Existing methods for fact-checking claim are limited by ambiguous information and lack sample-level predictions.
Approach: They propose a method that predicts the logical relationship of each aspect of a claim from a set of multimodal documents.
Outcome: The proposed method outperforms existing models on two benchmarks while providing finer-grained predictions, explanations, and evidence.

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