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20182026
most citedTowards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making

9 citations · 43 across the 18 of their papers we have counts for

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13 papers · 1 filter

cs.HC2026

Graphionale: How Graph Visualizations of LLM Rationales Affect Human Decision Making

Xinru Wang, Zhexuan Ma, Ming Yin +2

Large Language Models (LLMs) are increasingly equipped with augmented reasoning capabilities to generate rationales that support human decision-making. Yet these text-dense rationa…

cs.HC2026

Understanding the Effects of AI-Assisted Critical Thinking on Human-AI Decision Making

Harry Yizhou Tian, Hasan Amin, Ming Yin

Despite the growing prevalence of human-AI decision making, the human-AI team's decision performance often remains suboptimal, partially due to insufficient examination of humans'…

cs.HC2025

XAgen: An Explainability Tool for Identifying and Correcting Failures in Multi-Agent Workflows

Xinru Wang, Ming Yin, Eunyee Koh +1

As multi-agent systems powered by Large Language Models (LLMs) are increasingly adopted in real-world workflows, users with diverse technical backgrounds are now building and refin…

cs.HC2025★ 2 cited

From Text to Trust: Empowering AI-assisted Decision Making with Adaptive LLM-powered Analysis

Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu +2

AI-assisted decision making becomes increasingly prevalent, yet individuals often fail to utilize AI-based decision aids appropriately especially when the AI explanations are absen…

cs.HC2024★ 1 cited

Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the Scary

Zhuoyan Li, Ming Yin

Recent advances in AI models have increased the integration of AI-based decision aids into the human decision making process. To fully unlock the potential of AI-assisted decision…

cs.HC2024★ 2 cited

The Value, Benefits, and Concerns of Generative AI-Powered Assistance in Writing

Zhuoyan Li, Chen Liang, Jing Peng +1

Recent advances in generative AI technologies like large language models raise both excitement and concerns about the future of human-AI co-creation in writing. To unpack people's…