Papers by Debarpan Bhattacharya

1 papers
FESTA: Functionally Equivalent Sampling for Trust Assessment of Multimodal LLMs (2025.findings-emnlp)

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Challenge: Existing methods for trust assessment of multimodal large language models generate mispredictions due to multimodal input paradigms.
Approach: They propose a multimodal input sampling technique that generates an uncertainty measure based on equivalent and complementary input samplings.
Outcome: The proposed technique improves selective prediction performance with visual and audio reasoning tasks.

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