This work presents PRISM-BENCH, a benchmark of 1,000 expert-curated questions spanning five under-represented reasoning categories, in which every item carries an idealized reasoning trace written by one human annotator and validated by another, and introduces CORE, an efficiency-aware metric that reorders 24.2% of mod...
Vansh Bhatia, Mehdi Rezagholizadeh, Parsa Ashrafi Fashi et al.· 1 citation
Zebra3D, a layerwise sparse-linear hybrid attention framework that improves the efficiency of pretrained 3D foundation models without training from scratch, achieves strong reconstruction and camera-pose accuracy at high attention sparsity, with training-free variants remaining close to their dense counterparts.
Utkarsh Saxena, Rui-Jing Yang, Mehdi Rezagholizadeh et al.· 0 citations
We introduce AMDKernelVault, an open HIP and Triton kernel corpus and training framework for recent AMD CDNA GPUs. Existing LLM-based kernel agents are largely CUDA/NVIDIA-centric and often depend on repeated frontier-LLM calls for generation, reflection, and optimization. To address this gap, we develop HIPKernelGen a...
Ji Liu, S. Majumder, Yi-Qing Huang et al.· 0 citations
