01COLM 2025
Multi-Agent RAG for Health Misinformation
A coordinated system of specialized agents that retrieves, synthesizes, generates, and refines evidence-based counterspeech.
Ph.D. Student · NLP & Large Language Models
Building language models people can trust.
I research evidence-grounded, controllable, and rigorously evaluated language systems for high-stakes health and crisis communication.
University of North TexasDenton, Texas
01 / About
I work at the intersection of language technology and human needs.
I am a Ph.D. student in Computer Science and Engineering at the University of North Texas, advised by Dr. Lingzi Hong, and a Graduate Research Assistant in the Human-Centered Computing Lab.
My work spans retrieval-augmented generation, knowledge graphs, multi-agent systems, controllable generation, and LLM evaluation, with a focus on health misinformation and crisis response.
- Trustworthy LLMs
- Retrieval-Augmented Generation
- Human-Centered AI
- Multi-Agent Systems
- LLM Evaluation
Research portfolio
Featured projects
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02Findings of EMNLP 2025
Literacy-Controlled Counterspeech
A RAG and reinforcement-learning framework that adapts health-misinformation corrections to a reader's health-literacy level.
03Under review
Spatiotemporal Crisis Communication
A diagnostic benchmark for testing whether crisis-response systems use evidence from the right place and time.
Selected work
Featured publications
2026
Ask or Answer: A Decision Framework for Multi-Turn Health Misinformation Intervention ↗
A decision framework that learns when a health-misinformation intervention should ask for clarification and when it should answer directly.
2025
Multi-Agent Retrieval-Augmented Framework for Evidence-Based Counterspeech Against Health Misinformation →
Specialized agents retrieve, summarize, generate, and refine evidence-based counterspeech using static and dynamic sources.
Speaking at the Right Level: Literacy-Controlled Counterspeech Generation with RAG-RL →
A RAG and reinforcement-learning framework for generating evidence-grounded counterspeech at the reader's health-literacy level.
Latest
Recent news
Ask or Answer accepted at EMNLP 2026
Our decision framework studies when a health-misinformation intervention should ask for clarification and when it should answer directly.
Read the paperThree systems at CLEF CheckThat! 2026
SciClaimSeekers, SourceMinds, and VeriFind addressed scientific-source retrieval, citation auditing, and numerical claim verification; VeriFind placed second in Task 2.
View 2026 publicationsStarted my Ph.D. at the University of North Texas
I began the Computer Science and Engineering program, focusing on trustworthy language systems for health and crisis communication.
View academic journeyCompleted my M.S. in Data Science
I graduated from the University of North Texas with a 4.00/4.00 GPA.
View educationCollaboration