QANTA 2026 Challenge: Task-Specific Multimodal QA Agents with Confidence Calibration
A team submitted a system to the QANTA 2026 shared challenge at ICML 2026, addressing multimodal quizbowl questions with incremental text and images. The system uses confidence calibration for tossup questions and incremental reasoning for bonus questions, aiming to balance accuracy and efficiency.
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OmniMapBench benchmark tests LVLMs on visual-centric map reasoning
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