Artificial superintelligence (ASI) requires AI to move beyond mastering existing knowledge toward exploring the unknown, creating new knowledge, and turning new ideas into verifiable results. However, the capabilities of today's AI systems are still largely built on learning, compressing, and applying existing human kn...
Jun-Wei Zhou, Zhen Sun, Binyu Li et al.· 2 citations
A model-based evaluation framework that combines multidimensional item response theory model with question contexts to predict LLM performance on unseen questions is studied, suggesting that context-aware psychometric modeling is a promising direction for efficient and interpretable LLM evaluation and highlighting cros...
The detachment mechanism of Forward-Forward (FF) is reinterpreted as a scheduling primitive: given a local objective, detaching a block's output removes downstream gradient dependencies, making its backward pass ready when its forward pass finishes.
Ergan Shang, Flavio Sales Truzzi· 2 citations
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