3 citations · 4 across the 8 of their papers we have counts for
8 papers
RELIANCE: Curating and Evaluating Reproductive Health Information on Social Media
Vaibhav Balloli, Laura Peyton Ellis, Vishala Mishra +3
Social media platforms like TikTok have become a key source of health information, with studies reporting inaccuracies in posts. As Large Language Model (LLM) providers increasingl…
PATHFinder Agent for Tailored Prenatal Care
Vaibhav Balloli, Carissa Samuel, Samia Abdelnabi +2
Prenatal care is an important preventive service designed to improve outcomes for pregnant individuals. The American College of Obstetricians and Gynecologists (ACOG) recently intr…
"Where is this coming from?" Uncovering Trustworthiness Ideals in AI-powered Peripartum Information Seeking
Vaibhav Balloli, Julia Erickson, Xinyi Li +3
AI-powered tools increasingly promise to fill information gaps in health, especially in domains like maternal and reproductive health that demand timely, accurate, and actionable i…
RelAItionship Building: Analyzing Recruitment Strategies for Participatory AI
Eugene Kim, Vaibhav Balloli, Berelian Karimian +2
Participatory AI, in which impacted community members and other stakeholders are involved in the design and development of AI systems, holds promise as a way to ensure AI is develo…
EnCortex: A General, Extensible and Scalable Framework for Decision Management in New-age Energy Systems
Millend Roy, Vaibhav Balloli, Anupam Sobti +4
With increased global warming, there has been a significant emphasis to replace fossil fuel-dependent energy sources with clean, renewable sources. These new-age energy systems are…
Are They the Same Picture? Adapting Concept Bottleneck Models for Human-AI Collaboration in Image Retrieval
Vaibhav Balloli, Sara Beery, Elizabeth Bondi-Kelly
Image retrieval plays a pivotal role in applications from wildlife conservation to healthcare, for finding individual animals or relevant images to aid diagnosis. Although deep lea…
Bridging the Language Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs
Somnath Kumar, Vaibhav Balloli, Mercy Ranjit +5
Large language models (LLMs) have revolutionized various domains but still struggle with non-Latin scripts and low-resource languages. This paper addresses the critical challenge o…
Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception
Anurag Ghosh, Vaibhav Balloli, Akshay Nambi +2
Real-time perception requires planned resource utilization. Computational planning in real-time perception is governed by two considerations -- accuracy and latency. There exist ru…