Study Reveals Knowing-Using Gap in LLM Fine-Tuning
Recent research highlights the "Knowing-Using Gap" in LLM fine-tuning, where models memorize new facts but fail to apply them in multi-hop reasoning. The study suggests this stems from a misalignment between newly learned knowledge and the model's internal reasoning circuits.
2026-07-13 ~ 2026-07-13 · 2 related posts
- Why LLMs Remember but Fail to Apply After Fine-Tuning — HKUST · 2026-07-13
- Why Fine-Tuned Memories Still Struggle to Generalize — burny_tech · 2026-07-13