Papers by Aman Rangapur

1 papers
Piecing It All Together: Verifying Multi-Hop Multimodal Claims (2025.coling-main)

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Challenge: Existing claim verification datasets often do not require systems to perform complex reasoning or effectively interpret multimodal evidence.
Approach: They propose a task that requires models to reason over multiple pieces of evidence . they construct a large-scale dataset comprising 15k multi-hop claims paired with multimodal evidence - generated and refined using large language models with additional input from human feedback.
Outcome: The proposed method is based on human performance benchmarks and human reasoning hops.

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