ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers
Saptarshi Sengupta†, Zhengyu Zhou, Jun Araki, Xingbo Wang, Bingqing Wang, Suhang Wang, Zhe Feng
EACL 2026 (Oral).

Researcher building useful and reliable AI systems
I am Xingbo Wang, an AI researcher working at the intersection of large language model (LLM) agents and human–AI interaction. I am currently a research scientist at Bosch, developing LLM-based agentic systems for complex, knowledge-intensive tasks. More broadly, I build interactive tools that help people understand, evaluate, and collaborate with AI.
I received my PhD in Computer Science and Engineering from HKUST, advised by Prof. Huamin Qu. I later worked with Prof. Fei Wang at Weill Cornell Medicine and Prof. Tanzeem Choudhury at Cornell Tech. My work spans industry, healthcare, and education, with the goal of making AI systems more useful, reliable, and grounded in human reasoning.
Outside research, I enjoy discovering local coffee shops (30+ in New York City so far), exploring new trails, and playing video games. My partner and I also share our home with three cats: Whisky , Coffee , and DuoLe .
User interfaces for human-AI interactions and human-data interactions
(*: equal contribution; +: corresponding author; †: intern(s))
ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers
Saptarshi Sengupta†, Zhengyu Zhou, Jun Araki, Xingbo Wang, Bingqing Wang, Suhang Wang, Zhe Feng
EACL 2026 (Oral).
SciDaSynth: Interactive Structured Data Extraction from Scientific Literature with Large Language Model NEW
Xingbo Wang*, Samantha L. Huey*, Rui Sheng, Saurabh Mehta, Fei Wang
Campbell Systematic Reviews 2025 (to appear).
code | pdf | arXiv | Wiley Online
POEM: Interactive Prompt Optimization for Enhancing Multimodal Reasoning of Large Language Models
Jianben He, Xingbo Wang, Shiyi Liu, Guande Wu, Claudio Silva, Huamin Qu
IEEE Pacific Visualization Conference (PacificVis), 2025.
InsightLens: Augmenting LLM-Powered Data Analysis with Interactive Insight Management and Navigation
Luoxuan Weng, Xingbo Wang, Junyu Lu, Yingchaojie Feng, Yihan Liu, Haozhe Feng, Danqing Huang, Wei Chen
IEEE Transactions on Visualization and Computer Graphics (Proceedings of PacificVis 2025) (to Appear).
CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models
Xingbo Wang, Renfei Huang, Zhihua Jin, Tianqing Fang, and Huamin Qu
IEEE Transactions on Visualization and Computer Graphics (VIS 2023).
PDF | arXiv | IEEEXplore | 💻/🌐 Project Page & Demo | video | Slides
VideoPro: A Visual Analytics Approach for Interactive Video Programming
Jianben He, Xingbo Wang+, Kam Kwai Wong, Xijie Huang, Changjian Chen, Zixin Chen, Fengjie Wang, Min Zhu, Huamin Qu.
IEEE Transactions on Visualization and Computer Graphics (VIS 2023).
PDF | arXiv | IEEEXplore
PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation
Yingchaojie Feng, Xingbo Wang, Kam Kwai Wong, Sijia Wang, Yuhong Lu, Minfeng Zhu, Baicheng Wang, Wei Chen.
IEEE Transactions on Visualization and Computer Graphics (VIS 2023).
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis
Xingbo Wang, Jianben He, Zhihua Jin, Muqiao Yang, Yong Wang, Huamin Qu.
IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS'21).
🏆 Best Paper Honorable Mention
PDF | arXiv | IEEEXplore | 💻 Project Page | 🌐 Demo