9 citations · 20 across the 21 of their papers we have counts for
24 papers
CoBranchMR: Supporting Parallel Design and Conflict Resolution in Mixed Reality
Niloofar Sayadi, Kaiyuan Tang, Yunhao Xing +3
We present CoBranchMR, a mixed reality (MR) system that enables distributed collaborators to work in parallel from different locations on the same digital representation of a physi…
Report of the 2026 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science
Lois Curfman McInnes, Dorian Arnold, Prasanna Balaprakash +45
Scientific computing is undergoing rapid transformation as advances in artificial intelligence, heterogeneous computing, automation, and data-intensive research reshape not only co…
Framing War Across Languages: Power, Agency, and Sentiment in Wikipedia's Multilingual War Narratives
Jiarui Xia, Diego Gomez-Zara
While Wikipedia promotes a neutral point of view on historical conflicts, its language editions are written by editors from distinct linguistic and cultural communities. In this st…
Stayin' Aligned Over Time: Towards Longitudinal Human-LLM Alignment via Contextual Reflection and Privacy-Preserving Behavioral Data
Simret Araya Gebreegziabher, Allison E Sproul, Yinuo Yang +3
Current human-AI alignment and evaluation methods for large language models (LLMs) often rely on preference signals collected immediately after an interaction. This practice implic…
MultEval: Supporting Collaborative Alignment for LLM-as-a-Judge Evaluation Criteria
Charles Chiang, Simret Gebreegziabher, Annalisa Szymanski +6
LLM-as-a-judge approaches have emerged as a scalable solution for evaluating model behaviors, yet they rely on evaluation criteria often created by a single individual, embedding t…
Revisiting Framing Codebooks with AI: Employing Large Language Models as Analytical Collaborators in Deductive Content Analysis
Diego Gomez-Zara, Hernán Valdivieso, Jorge Pérez +2
Codebooks are central to framing research, providing theoretically grounded criteria for analyzing news content. While traditionally codebooks are built from theoretical frameworks…