1 citations · 2 across the 5 of their papers we have counts for
7 papers
CRISS: A Retrieval-Augmented AI Chatbot for Assisting Cancer Registrars
Vani Seth, Mohammad Beheshti, Anirudh Kambhampati +4
Cancer registrars, including Oncology Data Specialists (ODSs), must interpret complex and frequently updated coding and staging standards. We developed CRISS (Cancer Registry Intel…
Exploring the Performance of Large Language Models on Subjective Span Identification Tasks
Alphaeus Dmonte, Roland Oruche, Tharindu Ranasinghe +2
Identifying relevant text spans is important for several downstream tasks in NLP, as it contributes to model explainability. While most span identification approaches rely on relat…
Automated Feature Tracking for Real-Time Kinematic Analysis and Shape Estimation of Carbon Nanotube Growth
Kaveh Safavigerdini, Ramakrishna Surya, Jaired Collins +4
Carbon nanotubes (CNTs) are critical building blocks in nanotechnology, yet the characterization of their dynamic growth is limited by the experimental challenges in nanoscale moti…
VECA: Reliable and Confidential Resource Clustering for Volunteer Edge-Cloud Computing
Hemanth Sai Yeddulapalli, Mauro Lemus Alarcon, Upasana Roy +5
Volunteer Edge-Cloud (VEC) computing has a significant potential to support scientific workflows in user communities contributing volunteer edge nodes. However, managing heterogene…
Claim Verification in the Age of Large Language Models: A Survey
Alphaeus Dmonte, Roland Oruche, Marcos Zampieri +2
The large and ever-increasing amount of data available on the Internet coupled with the laborious task of manual claim and fact verification has sparked the interest in the develop…
Reinforcement Learning-driven Data-intensive Workflow Scheduling for Volunteer Edge-Cloud
Motahare Mounesan, Mauro Lemus, Hemanth Yeddulapalli +2
In recent times, Volunteer Edge-Cloud (VEC) has gained traction as a cost-effective, community computing paradigm to support data-intensive scientific workflows. However, due to th…
Measurements of CNT Forest Self-Assembly from In-situ ESEM Synthesis
Ramakrishna Surya, Gordon L. Koerner, Taher Hajilounezhad +5
Understanding the dynamic self-assembly mechanisms of carbon nanotube (CNT) forests is necessary to advance their technological promise. Here, in-situ environmental scanning electr…