collaborators

5 papers

cs.HC2026

What Parents Can See: Divergent Accounts of Youth AI Companion Use in Parenting and Teenager Subreddits

Thomas Berkane, Anne Bischops, Anika Mellacheruvu +1

Youth increasingly use AI companions, and parents are the primary mediators of that use. How effective that mediation can be depends on whether parents are aware of how adolescents…

cs.CL2026

Self-Ensembling Vision-Language Models for Chart Data Extraction

Thomas Berkane, Qianyi Wang, Maimuna S. Majumder

Charts effectively convey quantitative information, but the underlying data are often locked in image form, hindering reuse and analysis. Manually digitizing charts is time-consumi…

cs.CL2026

EpiCurveBench: Evaluating VLMs on Epidemic Curve Digitization

Thomas Berkane, Maimuna S. Majumder

Chart-to-data extraction with vision-language models (VLMs) is increasingly evaluated on benchmarks that show diminishing headroom (frontier VLMs exceed 89% on ChartQA) and with me…

cs.MA2025

The AI Committee: A Multi-Agent Framework for Automated Validation and Remediation of Web-Sourced Data

Sunith Vallabhaneni, Thomas Berkane, Maimuna Majumder

Many research areas rely on data from the web to gain insights and test their methods. However, collecting comprehensive research datasets often demands manually reviewing many web…

cs.LG2025

Statistical vs. Deep Learning Models for Estimating Substance Overdose Excess Mortality in the US

Sukanya Krishna, Marie-Laure Charpignon, Maimuna Majumder

Substance overdose mortality in the United States claimed over 80,000 lives in 2023, with the COVID-19 pandemic exacerbating existing trends through healthcare disruptions and beha…