1 citations · 1 across the 3 of their papers we have counts for
4 papers
Twice as Fast, Until It Isn't: Quantized Serving of Mid-Size Open LLMs
Smit Kadvani, Kriti Faujdar, Spurthi Tallam
A team serving a 9B-20B open-weight language model on vLLM or SGLang must choose a quantization recipe, and needs two numbers: the speedup over BF16 and the accuracy given up. We a…
How Far Can You Get Without a GPU? A Systematic Benchmark of Lightweight Hallucination Detection Across Question Answering, Dialogue, and Summarisation
Kriti Faujdar, Smit Kadvani
Hallucination detection has become a pressing requirement for trustworthy AI deployment at scale. The most accurate detection methods depend on GPU-intensive inference, proprietary…
PillarDETR: YOLO-Backbone and RT-DETR Head for Real-Time 3D Object Detection
Smit Kadvani, Shriya Gumber, Kriti Faujdar +1
Real-time 3D object detection is a critical component for the safe operation of autonomous driving systems and robotics. While LiDAR point clouds provide accurate spatial informati…
Going beyond density functional theory accuracy: Leveraging experimental data to refine pre-trained machine learning interatomic potentials
Shriya Gumber, Lorena Alzate-Vargas, Benjamin T. Nebgen +4
Machine learning interatomic potentials (MLIPs) are inherently limited by the accuracy of the training data, usually consisting of energies and forces obtained from quantum mechani…