Yu Fu

It is suggested that safety does not automatically scale with reasoning capability, especially under long-context inference, as context length increases and safety alignment consistently degrades.

PhaseAware reduces rehabilitation scoring error by nearly 89% while providing interpretable cues for clinician review, bridging automation and human oversight.

Data narratives often fail not just due to errors, but through a complex interplay of meaning-making processes that can mislead audiences.

A 3B model, guided by a novel RL framework, can outperform a 20B model in capturing diverse human perspectives, challenging the assumption that larger models inherently possess better alignment.