4 citations · 5 across the 4 of their papers we have counts for
5 papers
UIC-AIHealth4All at ArchEHR-QA 2026: Answer-First Evidence Grounding for Clinical Question Answering
Mohammad Arvan, Hossein Haeri, Natalie Parde +1
We describe the UIC-AIHealth4All system for ArchEHR-QA 2026, a shared task on grounded question answering from electronic health records. We participated in Subtasks 2 (evidence id…
Real-World Evaluation of an AI Agent Drafting Translational Impact Summaries
Mohammad Arvan, Amber E. Osterholt, Bailee Rue +5
Introduction. Clinical and Translational Science Award (CTSA) programs must document their scholars' research impact, but assembling each scholar's record by hand takes staff an es…
TeamMedAgents: Pareto-Efficient Multi-Agent Medical Reasoning Through Teamwork Theory
Pranav Pushkar Mishra, Mohammad Arvan, Mohan Zalake
Complex medical reasoning has historically required frontier language models to achieve clinically-acceptable accuracy, creating computational barriers that limit deployment in res…
Investigating Reproducibility at Interspeech Conferences: A Longitudinal and Comparative Perspective
Mohammad Arvan, A. Seza Doğruöz, Natalie Parde
Reproducibility is a key aspect for scientific advancement across disciplines, and reducing barriers for open science is a focus area for the theme of Interspeech 2023. Availabilit…
Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP
Anya Belz, Craig Thomson, Ehud Reiter +39
We report our efforts in identifying a set of previous human evaluations in NLP that would be suitable for a coordinated study examining what makes human evaluations in NLP more/le…