2 papers
cs.LG2026
tLoRA: Efficient Multi-LoRA Training with Elastic Shared Super-Models
Kevin Li, Dibyadeep Saha, Avni Kanodia +1
As Low-Rank Adaptation (LoRA) becomes the standard approach for efficiently fine-tuning large language models (LLMs), shared clusters increasingly execute many concurrent LoRA trai…
cs.AI2025
Beyond Parameters: Exploring Virtual Logic Depth for Scaling Laws
Ruike Zhu, Hanwen Zhang, Kevin Li +6
Scaling large language models typically involves three dimensions: depth, width, and parameter count. In this work, we explore a fourth dimension, \textbf{virtual logical depth} (V…