Jiuheng Lin

HIPPO reveals that hint-injected pairwise aggregation can effectively eliminate shortcut reasoning in LLMs, leading to more authentic and transferable reasoning skills.

TriMix reveals that prioritizing small, specialized models can dramatically improve low-resource language adaptation, overturning the assumption that bigger models always lead the way.