8 citations · 16 across the 9 of their papers we have counts for
9 papers
Using Grounded Theory for Agent Behavior Analysis at Scale
Zhuoran Lu, Yangyang Yu, Zhuoyan Li +5
Understanding agent behavior requires methods that scale to thousands of trajectories and surface new patterns in long, often unfamiliar tasks where pre-built classifiers fall shor…
One AI Signal, Many Human Judgments: A Bayesian Cascade Analysis of AI-based Credibility Indicators in Online Information Spread
Zhuoran Lu, Weilong Wang, Yangyang Yu +4
Social media platforms increasingly use AI-based credibility indicators to help users judge misinformation. Unlike individual human-AI decision-making, these indicators are embedde…
Human-LLM Collaborative Feature Engineering for Tabular Data
Zhuoyan Li, Aditya Bansal, Jinzhao Li +8
Large language models (LLMs) are increasingly used to automate feature engineering in tabular learning. Given task-specific information, LLMs can propose diverse feature transforma…
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…
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…
How Does the Disclosure of AI Assistance Affect the Perceptions of Writing?
Zhuoyan Li, Chen Liang, Jing Peng +1
Recent advances in generative AI technologies like large language models have boosted the incorporation of AI assistance in writing workflows, leading to the rise of a new paradigm…
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…
Decoding AI's Nudge: A Unified Framework to Predict Human Behavior in AI-assisted Decision Making
Zhuoyan Li, Zhuoran Lu, Ming Yin
With the rapid development of AI-based decision aids, different forms of AI assistance have been increasingly integrated into the human decision making processes. To best support h…
Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations
Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu +1
The collection and curation of high-quality training data is crucial for developing text classification models with superior performance, but it is often associated with significan…