Thin-Film Transistor Technologies

Neueste Paper

• X-MoD: Practical Scaling Laws for Sparse-Depth Routing Beyond Mixture-of-Depths

  Bowen Dong, Yilong Fan, Tengyu Pan, Yike Zhang, Zhenyu Li, Zijian Zhang, Xuewei Li, Mei Yu, Jianyong Wang · 30. September 2026

  Mixture-of-Depths (MoD) enables conditional computation across Transformer depth by routing only a subset of tokens through selected layers, but its original one-sparse--one-dense alternation tightly couples total capacity to active capacity and limits sparse-depth scaling. We introduce X-MoD, a sca…

• PRISM: Position-encoded Regressive Inverse Spectral Model for Multilayer Thin-Film Design

  Runtian Wang, Renhao Xue, Baige Chen, Hao Wu · 27. Mai 2026

  The inverse problem of multilayer thin-film optical coatings design represents a complex combinatorial-continuous optimization challenge. We present PRISM (Position-encoded Regressive Inverse Spectral Model), a unified decoder-only autoregressive transformer that streamlines this process by jointly …

• Attention Saturation and Gradient Suppression at Inflection Layers: Diagnosing and Mitigating Bottlenecks in Transformer Adaptation

  Wang Zixian · 4. November 2025

  Pre-trained Transformers often exhibit over-confidence in source patterns and difficulty in forming new target-domain patterns during fine-tuning. We formalize the mechanism of output saturation leading to gradient suppression through standard cross-entropy and softmax analysis, showing that gradien…