8 citations · 18 across the 13 of their papers we have counts for
6 papers · 1 filter
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…
Benchmarking Security Risk Detection and Verification in Open Agentic Skill Ecosystems
Ismail Hossain, Sai Puppala, Zhuoran Lu +2
Open agent platforms allow community contributors to publish reusable skills that agents can invoke at runtime. This extensibility also creates a supply-chain risk: malicious contr…
How to Interpret Agent Behavior
Jie Gao, Kaiser Sun, Jen-tse Huang +8
Autonomous agents such as Claude Code and Codex now operate for hours or even days. Understanding their runtime behavior has become critical for downstream tasks such as diagnosing…
AutoRedTrader: Autonomous Red Teaming of Trading Agents through Synthetic Misinformation Injection
Zhiwei Liu, Yangyang Yu, Yupeng Cao +8
LLM-based financial agents increasingly rely on both numerical market data and textual signals for sequential trading and stock prediction. However, financial misinformation often…
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…