2 papers
cs.LG2026
Unveiling the Mechanisms of Multi-Hop Reasoning in Transformers via Identity Bridge
Pengxiao Lin, Zheng-An Chen, Zhi-Qin John Xu
Large Language Models (LLMs) excel at multi-hop reasoning in distribution, yet fail on unseen compositions, a phenomenon known as the curse of two-hop reasoning. In this work, we a…
cs.CV2026
Geometric Decoupling: Diagnosing the Structural Instability of Latent
Yuanbang Liang, Zhengwen Chen, Yu-Kun Lai
Latent Diffusion Models (LDMs) achieve high-fidelity synthesis but suffer from latent space brittleness, causing discontinuous semantic jumps during editing. We introduce a Riemann…