2 citations · 2 across the 3 of their papers we have counts for
4 papers
MobiBench: Benchmarking LLMs for On-Device Performance
Arya Hariharan, Rohit Suresh, Bolla Sai Naga Yashwanth +4
Understanding how large language models (LLMs) perform under real-world resource constraints has become more crucial due to the growing demand for deploying LLMs on mobile and edge…
Explanation Stability of Test-Time Adaptation in Computational Pathology: A Large-Scale Benchmark
R. G. Bahumanya, Harshith V. M., Shreyank N. Gowda +1
Test-time adaptation (TTA) has become a practical way to adapt deployed models to unlabeled target data, a setting that is especially relevant in computational pathology where stai…
Uncertainty-Aware Longitudinal Forecasting of Alzheimer's Disease Progression Using Deep Learning
Arya Hariharan, Shreyank N Gowda, Anala M R
Longitudinal modelling of Alzheimer's disease progression is clinically useful only if it can describe not just the most likely next diagnosis, but how a patient may evolve over ti…
Multimodality in Online Education: A Comparative Study
Praneeta Immadisetty, Pooja Rajesh, Akshita Gupta +3
The commencement of the decade brought along with it a grave pandemic and in response the movement of education forums predominantly into the online world. With a surge in the usag…