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cs.AI2026
Quantifying and Optimizing Simplicity via Polynomial Representations
Tianren Zhang, Xiangxin Li, Minghao Xiao +2
Deep networks often exhibit a preference for "simple" solutions, and such a simplicity bias is widely believed to play a key role in generalization. Yet a broadly applicable, quant…
cs.LG2026
Reconciling In-Context and In-Weight Learning via Dual Representation Space Encoding
Guanyu Chen, Ruichen Wang, Tianren Zhang +1
In-context learning (ICL) is a valuable capability exhibited by Transformers pretrained on diverse sequence tasks. However, previous studies have observed that ICL often conflicts…