6 citations · 7 across the 6 of their papers we have counts for
6 papers
SonicSampler: Unified Tile-Aware Kernels for LLM Sampling and Speculative Verification
Pragaash Ponnusamy, Shivam Sahni, Jue Wang +1
Sampling in LLM inference comprises a combinatorial set of logit processing, token selection, and verification operations for speculative decoding. However, existing implementation…
Liger Kernel: Efficient Triton Kernels for LLM Training
Pin-Lun Hsu, Yun Dai, Vignesh Kothapalli +7
Training Large Language Models (LLMs) efficiently at scale presents a formidable challenge, driven by their ever-increasing computational demands and the need for enhanced performa…
Exploring Multilingual Text Data Distillation
Shivam Sahni, Harsh Patel
With the rise of deep learning, large datasets and complex models have become common, requiring significant computing power. To address this, data distillation has emerged as a tec…
Exploring Explainability Methods for Graph Neural Networks
Harsh Patel, Shivam Sahni
With the growing use of deep learning methods, particularly graph neural networks, which encode intricate interconnectedness information, for a variety of real tasks, there is a ne…
Image Inpainting using Partial Convolution
Harsh Patel, Amey Kulkarni, Shivam Sahni +1
Image Inpainting is one of the very popular tasks in the field of image processing with broad applications in computer vision. In various practical applications, images are often d…
Trust as a Metric for Resiliency in Signed Social Networks
Harsh Patel, Shivam Sahni, Pushkar Mujumdar
Recent technological advancements have resulted in a surge in online trading, raising severe concerns about theft and fraud, especially on platforms like Bitcoin OTC (over-the-coun…