8 citations · 9 across the 6 of their papers we have counts for
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cs.LG2025
Quantum-Boosted High-Fidelity Deep Learning
Feng-ao Wang, Shaobo Chen, Yao Xuan +12
A fundamental limitation of probabilistic deep learning is its predominant reliance on Gaussian priors. This simplistic assumption prevents models from accurately capturing the com…
cs.LG2024★ 1 cited
Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning
Kaiyi Zhang, Ang Lv, Yuhan Chen +3
In this paper, by treating in-context learning (ICL) as a meta-optimization process, we explain why LLMs are sensitive to the order of ICL examples. This understanding leads us to…