activity
20232026
most citedComparing Native and Non-native English Speakers' Behaviors in Collaborative Writing through Visual Analytics

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

LPS-Bench: Benchmarking Safety Awareness of Computer-Use Agents in Long-Horizon Planning under Benign and Adversarial Scenarios

Tianyu Chen, Chujia Hu, Ge Gao +3

Computer-use agents (CUAs) execute multi-stage tasks through tools, where an early unsafe decision can propagate to consequential actions. Evaluating only final outcomes can miss s…

cs.LG2026

Principled Fine-tuning of LLMs from User-Edits: A Medley of Preference, Supervision, and Reward

Dipendra Misra, Aldo Pacchiano, Ta-Chung Chi +1

We study how to fine-tune LLMs using user-edit deployment data consisting of a set of context, an agent's response, and user edits. This deployment data is naturally generated by u…

cs.HC2025

Sustaining Human Agency, Attending to Its Cost: An Investigation into Generative AI Design for Non-Native Speakers' Language Use

Yimin Xiao, Cartor Hancock, Sweta Agrawal +4

AI systems and tools today can generate human-like expressions on behalf of people. It raises the crucial question about how to sustain human agency in AI-mediated communication. W…

cs.HC2025★ 2 cited

Comparing Native and Non-native English Speakers' Behaviors in Collaborative Writing through Visual Analytics

Yuexi Chen, Yimin Xiao, Kazi Tasnim Zinat +3

Understanding collaborative writing dynamics between native speakers (NS) and non-native speakers (NNS) is critical for enhancing collaboration quality and team inclusivity. In thi…

cs.CL2023★ 1 cited

Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors

Nikita Mehandru, Sweta Agrawal, Yimin Xiao +4

A major challenge in the practical use of Machine Translation (MT) is that users lack guidance to make informed decisions about when to rely on outputs. Progress in quality estimat…