Task-specific reasoning strategies and confidence calibration can outperform complex retrieval-based approaches on multimodal QA benchmarks, especially when operating under efficiency constraints.
This paper presents a task-specific multimodal question-answering system for the QANTA 2026 challenge that answers quiz questions from incrementally revealed text and images.