2 papers
cs.LG2025
The Impact of Quantization on Large Reasoning Model Reinforcement Learning
Medha Kumar, Zifei Xu, Xin Wang +1
Strong reasoning capabilities can now be achieved by large-scale reinforcement learning (RL) without any supervised fine-tuning. Although post-training quantization (PTQ) and quant…
cs.DS2025
Optimized 2-Approximation of Treewidth
Mahdi Belbasi, Martin Fürer, Medha Kumar
This paper presents a linear FPT algorithm to find a tree decomposition with a 2-approximation of the treewidth with a significantly smaller exponential dependence on the treewidth…