133 citations · 414 across the 25 of their papers we have counts for
30 papers
Revibing Code from Papers: Reimplementing HCI Artifacts
Eytan Adar, Yoonjoo Lee, Nina Lei +2
Software artifacts for most technical HCI research projects are unavailable. The lack of access to these imposes limits on academic knowledge production. It is difficult to: extend…
Evaluating Affective Objectives: Statistical Numbing in Data Visualization
Elsie Lee-Robbins, Eytan Adar
Visualizations can help audiences understand the scale of tragedies, such as the consequences of natural disasters, war, genocide, and pandemics. In these cases, a visualization de…
Beyond Screenshots: Evaluating VLMs' Understanding of UI Animations
Chen Liang, Xirui Jiang, Naihao Deng +2
AI agents operating on user interfaces must understand how interfaces communicate state and feedback to act reliably. As a core communicative modality, animations are increasingly…
Assessing Affective Objectives for Communicative Visualizations
Elsie Lee-Robbins, Eytan Adar
Using learning objectives to define designer intents for communicative visualizations can be a powerful design tool. Cognitive and affective objectives are concrete and specific, w…
Selecting Fine-Tuning Examples by Quizzing VLMs
Tenghao Ji, Eytan Adar
A challenge in fine-tuning text-to-image diffusion models for specific topics is to select good examples. Fine-tuning from image sets of varying quality, such as Wikipedia Commons,…
Through the Judge's Eyes: Inferred Thinking Traces Improve Reliability of LLM Raters
Xingjian Zhang, Tianhong Gao, Suliang Jin +4
Large language models (LLMs) are increasingly used as raters for evaluation tasks. However, their reliability is often limited for subjective tasks, when human judgments involve su…