2 papers
cs.AI2026
The Devil is in the Spectrum: Mitigating Representation Collapse in LLMs via Topologically Regularized Side-Path
Yiheng Tao, Kaiwen Cheng, Yao Lu +2
Large Language Models (LLMs) are fundamentally limited by representation collapse, a bottleneck that severely degrades long-context performance. We identify that existing approache…
cs.CV2026
WaveFormer: Frequency-Time Decoupled Vision Modeling with Wave Equation
Zishan Shu, Juntong Wu, Wei Yan +5
Vision modeling has advanced rapidly with Transformers, whose attention mechanisms capture visual dependencies but lack a principled account of how semantic information propagates…