Kaituo (Philip) Zhang · 章凯拓
Building AI that deserves to be trusted.
Hello, my name is Kaituo (Philip) Zhang. I’m a PhD candidate in the Department of Industrial Engineering at the University of Houston, co-advised by Dr. Na Zou and Dr. Ying Lin. My current research interests include fairness and faithfulness in large language models (LLMs) and context management.
Trustworthy LLMsSynthetic DataAnomaly Detection

The LORD is my shepherd; I have all that I need.
Psalm 23:1 · NLT
01
News
- SRD was accepted to Findings of EMNLP 2026.Code ↗Paper ↗
- Our survey on evaluating LLM-generated synthetic data was accepted by TMLR.Repo ↗Paper ↗
- Tool-use Tax is available on arXiv.Paper ↗
- I passed the screening exam and became a PhD candidate.
- Our anomaly detection work was accepted by Expert Systems with Applications.Code ↗Paper ↗
02
Selected work
01
Awesome LLM Data Generation
A metric-oriented survey on quality and trustworthiness in evaluating LLM-generated synthetic data.
↗02EDROD
A parameter-free, unsupervised anomaly detection algorithm based on entropy density ratios.
↗03RefChecker
A practical utility for reference formatting, validation, and citation checking.
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