A new study finds that prompt robustness in large language models depends on the type of question asked, with objective questions showing different sensitivity to prompt variations than subjective bel…
Researchers have developed L-VARC, a novel framework that enhances visual reasoning on the Abstraction and Reasoning Corpus (ARC) by integrating a language-guided Learning Using Privileged Information…
ARC and AIcrowd launched the ARC White-Box Estimation Challenge, a contest to improve estimation algorithms for randomly-initialized neural networks. Participants must design algorithms that estimate …
ARC researcher Eleni Angelou and her team have proposed a new formal goal for mechanistic interpretability that focuses on outperforming random sampling when predicting neural network behavior. The fr…