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Author

Er-Gan Shang

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Review Aug 2026

ASI-Bench: At the Dawn of Artificial Superintelligence

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
Preprint Aug 2026

LLM Evaluation on Unseen Questions: Contextual Multidimensional IRT Model

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...

Er-Gan Shang, Weijing Tang, Yinqiu He · 1 citation
#artificial intelligence Preprint Aug 2026

ERASE: EaRly bAckpropagation SchEdule for Faster Training of Modern Recommendation Systems

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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