Papers2

#reward models

Can LLMs Predict Their Own Failures? Self-Awareness via Internal Circuits

Amirhosein Ghasemabadi, Di NiuDec 23arXiv

Large language models often sound confident even when they are wrong, and existing ways to catch mistakes are slow or not very accurate.

#self-awareness#large language models#hidden states

Position: Universal Aesthetic Alignment Narrows Artistic Expression

Intermediate

Wenqi Marshall Guo, Qingyun Qian et al.Dec 9arXiv

The paper shows that many AI image generators are trained to prefer one popular idea of beauty, even when a user clearly asks for something messy, dark, blurry, or emotionally heavy.

#universal aesthetic alignment#aesthetic pluralism#reward models