Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma

Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma의 전문분석자료

Academic · 약 1분

Grassmannian Mixture-of-Experts: Concentration-Controlled Routing on Subspace Manifolds

arXiv:2602.17798v1 Announce Type: new Abstract: Mixture-of-Experts models rely on learned routers to assign tokens to experts, yet standard softmax gating provides no principled mechanism to …

조회수 40회 02.24

Academic · 약 1분

Calibrated Adaptation: Bayesian Stiefel Manifold Priors for Reliable Parameter-Efficient Fine-Tuning

arXiv:2602.17809v1 Announce Type: new Abstract: Parameter-efficient fine-tuning methods such as LoRA enable practical adaptation of large language models but provide no principled uncertainty estimates, leading …

Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma

조회수 43회 02.24

Academic · 약 1분

On the Sparsifiability of Correlation Clustering: Approximation Guarantees under Edge Sampling

arXiv:2602.13684v1 Announce Type: new Abstract: Correlation Clustering (CC) is a fundamental unsupervised learning primitive whose strongest LP-based approximation guarantees require $\Theta(n^3)$ triangle inequality constraints and …

Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma

조회수 38회 02.18