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cs.CL2026

Learning to Refer from Estimated Listener Gaze

Téa Wright, Alane Suhr

We propose to finetune vision-language models to generate more pragmatically optimal referring expressions by transforming observations of incremental listener comprehension, in th…

cs.CV2026

Animation2Code: Evaluating Temporal Visual Reasoning in Video-to-Code Generation

Anya Ji, Abhijith Varma Mudunuri, David M. Chan +1

While recent vision-language models (VLMs) have achieved significant improvements on static visual-to-code tasks such as generating code for webpages, charts, or SVGs, it remains u…

cs.CL2026

Representational Similarity and Model Behavior in Multi-Agent Interaction

Yujin Potter, Seun Eisape, Shiyang Lai +6

Researchers have shown that neural similarity among humans predicts social closeness and cooperative success, whereas innovation often emerges from interactions among dissimilar in…

cs.CL2026

DigitalCoach: Communication and Grounding Gaps in Human and Agentic Computer Use Coaching

Meng Chen, Anya Ji, Tsung-Han Wu +4

Agents are increasingly capable of automating software tasks, but can they teach humans how to use software themselves? We introduce DigitalCoach, a multimodal dataset of 72 human…

cs.CV2026

ScribbleEdit: Synthetic Data for Image Editing with Scribbles and Text

Anya Ji, George Ma, Téa Wright +4

Recent progress in generative models has significantly advanced image editing capabilities, yet precise and intuitive user control remains difficult. Specifically, users often stru…