My name is Jiawei Xu (许家伟 in Chinese). I am a fourth-year Ph.D. student in Information Studies at UT Austin. My academic home is the iSchool within the School of Computing, where I am a member of the AI Health Lab.

With Professor Ying Ding, I design and study LLM-based agents across grounded reasoning, healthcare, and scientific discovery, with a technical focus on agent workflow orchestration and memory organization. One question runs through all of it: how can humans and AI collaborate to advance science and well-being? It grew out of a different one I explored earlier with Dr. Yi Bu at Peking University: how human scientists collaborate with each other, studied through citation networks, interdisciplinarity, and knowledge diffusion at scale.

Feel free to reach out! For more details, please check my CV.

🔥 News

Our new paper Rethinking the Value of Multi-Agent Workflow: A Strong Single Agent Baseline is now on arXiv! It was featured as the cover paper in DAIR.AI Top AI Papers of the Week .

I organized the GenAI4Health Workshop at NeurIPS 2025. The workshop will continue at NeurIPS 2026 in Sydney.

More news

May 2025:

I started working as an Applied Scientist Intern at Amazon Search (Palo Alto, CA) in Summer 2025 and am now working remotely during Fall 2025.

April 2025:

A paper was accepted at The Journal of the Association for Information Science and Technology (JASIST).

February 2025:

I built an interactive knowledge graph visualization for the NIH Bridge2AI program: CM4AI Knowledge Graph. I also developed a teaming recommendation demo: CM4AI Teaming.

📝 Research

COLM 2026

[COLM 2026] SEER: Long-Context Reasoning via Selective Visual-Text Compression

Jiawei Xu*, Zhilin Zhai*, Jinrui Fang, Ruohan Xu, Mingfei Lu, Yi Zhang, Guanchu Wang^†, Tianlong Chen^†, Ying Ding^†.

Conference on Language Modeling (COLM), 2026. Paper Code

Preprint 2026

[Preprint 2026] Rethinking the Value of Multi-Agent Workflow: A Strong Single Agent Baseline

Jiawei Xu, Arief Koesdwiady, Sisong Bei, Yan Han, Baixiang Huang, Dakuo Wang, Yutong Chen, Zheshen Wang, Peihao Wang, Pan Li, Ying Ding.

Preprint, 2026. (Featured as cover paper in DAIR.AI Top AI Papers of the Week) arXiv

EMNLP 2025

[EMNLP 2025] MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models

Shrey Pandit, Jiawei Xu, Junyuan Hong, Zhangyang Wang, Tianlong Chen, Kaidi Xu, Ying Ding.

EMNLP, 2025. Code & Paper

AAAI 2025

[AAAI 2025] Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models

Kyle Cox, Jiawei Xu, Yikun Han, Rong Xu, Tianhao Li, Chi-Yang Hsu, Tianlong Chen, Walter Gerych, Ying Ding.

AAAI, 2025. Code

JASIST 2025

[JASIST 2025] Knowledge integration and diffusion structures of interdisciplinary research: A large-scale analysis based on propensity score matching

Jiawei Xu, Zhihan Zheng, Chao Min, Win-bin Huang, and Yi Bu.

The Journal of the Association for Information Science and Technology (JASIST), 2025. Code Paper

• [Web Conference 2026] From Newborn to Impact: Bias-Aware Citation Prediction, Mingfei Lu, Mengjia Wu, Jiawei Xu, Weikai Li, Feng Liu, Ying Ding, Yizhou Sun, Jie Lu, Yi Zhang. The Web Conference 2026.

• [ACM Transactions on Computing for Healthcare] TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews, Huimin Xu, Seungjun Yi, Terence Lim, Jiawei Xu, Andrew Well, Carlos M. Mery, Aidong Zhang, Yuji Zhang, Heng Ji, Keshav Pingali, Yan Leng, Ying Ding. ACM Transactions on Computing for Healthcare, 2026.

• [AAAI 2025 (Workshop)] LLM-TA: An LLM-Enhanced Thematic Analysis Pipeline for Transcripts from Parents of Children with Congenital Heart Disease, Jiawei Xu* (co-first author), Muhammad Zain Raza* (co-first author), Terence Lim, Lily Boddy, Carlos M. Mery, Andrew Well, Ying Ding. AAAI 2025: GenAI4Health Workshop.

• [ML4H 2024] Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering, Awais Naeem, Tianhao Li, Huang-Ru Liao, Jiawei Xu, Aby M. Mathew, Zehao Zhu, Zhen Tan, Ajay Kumar Jaiswal, Raffi A. Salibian, Ziniu Hu, Tianlong Chen, Ying Ding. ML4H 2024. Code

• [JCDL 2024] Decoding Patterns of Data Generation Teams for Clinical and Scientific Success: Insights from the Bridge2AI Talent Knowledge Graph, Jiawei Xu, Qingnan Xie, Meijun Liu, Zhandos Sembay, Swathi Thaker, Pamela Payne-Foster, Jake Yue Chen, Ying Ding. JCDL 2024.

• [NeurIPS 2024 (Workshop)] Demo: Interactive Visualization of Semantic Relationships in a Biomedical Project’s Talent Knowledge Graph, Jiawei Xu, Zhandos Sembay, Swathi Thaker, Pamela Payne-Foster, Jake Yue Chen, Ying Ding. NeurIPS 2024: GenAI4Health Workshop. CM4AI Knowledge Graph

• [NeurIPS 2024 (Workshop)] Position: Open and Closed Large Language Models in Healthcare, Jiawei Xu, Ying Ding, Yi Bu. NeurIPS 2024: GenAI4Health Workshop.

• [Web Conference 2024 (Companion)] Thought Graph: Generating Thought Process for Biological Reasoning, Chi-Yang Hsu, Kyle Cox, Jiawei Xu, Zhen Tan, Tianhua Zhai, Mengzhou Hu, Dexter Pratt, Tianlong Chen, Ziniu Hu, Ying Ding. Companion Proceedings of the ACM on Web Conference 2024, 537-540.

• [ISSI 2021] Interdisciplinarity vs. Unidisciplinarity: A structural comparison of multi-generation citations and references, Jiawei Xu, Chao Min, Win-bin Huang, Yi Bu. ISSI 2021.

💼 Employment

    - May 2026 - Aug. 2026: Applied Scientist Intern, Amazon, Seattle, WA (SEA24)
        Mentors: Dihan Dai and Keyang He; Manager: Jinhe Shi
        Technical Advisors: Jiajian Lu and Olcay Boz
        Project: Self-improving automated research loop for machine learning tasks
        Performance: Inclined for a return internship

    - May 2025 - Nov. 2025: Applied Scientist Intern, Amazon Search, Palo Alto, CA (SFO24)
        Mentors: Arief Koesdwiady, Sisong Bei, Yan Han; Manager: Yutong Chen
        Project: Rethinking the Value of Multi-Agent Workflow (Featured in DAIR.AI Top AI Papers of the Week)
        Performance: Inclined for a return internship

    - Aug. 2023 - Present: Graduate Research Assistant, iSchool (Information), School of Computing, UT Austin
        Projects: Patient Simulator (Voice Agent for Medical Communication Training), MATRIX (Multi-Agent Teaming Recommendation), Cell Maps for AI (CM4AI)

🎓 Teaching and Service

Teaching

    - 2024 - 2025: Guest Lecture on LLM Prompt Engineering and Multi-Agent Systems, UT Austin
    - 2021 - 2023: Data Visualization, Peking University, Teaching Assistant
    - 2022: Complex Networks, Peking University, Teaching Assistant

Service

    - 2025: Workshop Organizer (Student Lead), GenAI4Health Workshop at NeurIPS 2025

    - 2024: Onsite Student Organizer, GenAI4Health Workshop at NeurIPS 2024, Vancouver, Canada

    - Journal Reviewer:

• ACM Computing Surveys
• Nature Humanities & Social Sciences Communications
• Journal of the Association for Information Science and Technology
• Online Information Review
• Data Intelligence
• Information & Culture
• Journal of Clinical and Translational Science
• Scientometrics
• Data and Information Management

    - Conference PC Member:

• AAAI (2026, 2027)
• ICML (2026)
• NeurIPS (2026)

Invited Talks

    - Oct. 2024; Apr. 2025: “CM4AI Talent Knowledge Graph” (Virtual Talk)
    - Aug. 2023: “Beyond Correlation: What Factors Influence Scientific Performance” (Virtual Talk)

📖 Educations

• 2023.08 - Present: Ph.D. student in Information Studies at the iSchool within UT Austin’s School of Computing. Committee: Prof. Ying Ding (Chair), Prof. Yan Zhang, Prof. Kenneth Fleischmann.

• 2021.09 - 2023.06: M.S. in Information Science, Department of Information Management, Peking University, advised by Dr. Yi Bu.

• 2017.09 - 2021.06: B.M. in Information Management & Information System, Department of Information Management, Peking University.