ResearchExplainer
TAC-CoT lets small models reason in hidden tokens and call tools
A new EMNLP 2026 paper reports up to 8.8 points higher accuracy and 6.8 times fewer forward passes than explicit chain-of-thought, on models of 0.5 to 4 billion parameters.