Chain‑of‑thought reasoning lets LLMs recall hidden facts
Google researchers show that prompting Gemini‑2.5 and Qwen‑3 with step‑by‑step reasoning unlocks factual answers they otherwise miss. The boost comes from a computational buffer and factual priming, meaning simple queries can be answered more reliably without extra training. This reveals a cheap way to improve closed‑book QA performance.