collaborators

5 papers

cs.DC2026

Night-Window Batching versus Carbon-Aware Scheduling for Clinical AI GPU Workloads

Nishi Doshi, Shrey Shah

Hospitals run more machine learning on GPUs while the carbon footprint of grid electricity rises and falls through the day. Using a computer simulation, we compare scheduling…

cs.HC2026

"Are you an AI?" Analyzing Client Suspicion of AI Use in Crisis Counseling

Shreya Shah, Akshay Swaminathan, Meghana Simhadri +14

As artificial intelligence (AI) tools get increasingly deployed for mental healthcare, public trust in these systems remains uncertain. It is unclear how clients perceive AI involv…

cs.AI2026

The Synthetic Web: Adversarially-Curated Mini-Internets for Diagnosing Epistemic Weaknesses of Language Agents

Shrey Shah, Levent Ozgur

Language agents increasingly act as web-enabled systems that search, browse, and synthesize information from diverse sources. However, these sources can include unreliable or adver…

cs.SE2025

DrP: Meta's Efficient Investigations Platform at Scale

Shubham Somani, Vanish Talwar, Madhura Parikh +11

Investigations are a significant step in the operational workflows for large scale systems across multiple domains such as services, data, AI/ML, mobile. Investigation processes fo…

cs.CL2025

MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks

Suhana Bedi, Hejie Cui, Miguel Fuentes +78

While large language models (LLMs) achieve near-perfect scores on medical licensing exams, these evaluations inadequately reflect the complexity and diversity of real-world clinica…