Open, Reliable, and Collective: A Community-Driven Framework for Tool-Using AI Agents Hy Dang, Quang Dao, Meng Jiang EMNLP 2026 · Demo Track [Paper] [Project]
Uncovering Disparities in Rideshare Drivers’ Earning and Work Patterns: A Case Study of Chicago Hy Dang, Yuwen Lu, Jason Spicer, Tamara Kay, Di Yang, Yang Yang, Jay Brockman, Meng Jiang, Toby Jia-Jun Li CSCW 2026 [Paper]
Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates Hy Dang, Tianyi Liu, Zhuofeng Wu, Jingfeng Yang, Haoming Jiang, Tao Yang, Pei Chen, Zhengyang Wang, Helen Wang, Huasheng Li, Bing Yin, Meng Jiang EMNLP 2025 [Paper] [Project]
Optimizing Decomposition for Optimal Claim Verification Yining Lu, Noah Ziems, Hy Dang, Meng Jiang ACL 2025 [Paper]
Embedding Mental Health Discourse for Community Recommendation Hy Dang*, Bang Nguyen*, Noah Ziems, Meng Jiang CODI · ACL 2023 [Paper] [Project] [arXiv]
A Quantitative Review on Language Model Efficiency Research Meng Jiang, Hy Dang, Lingbo Tong LLM Symposium · IJCAI 2023 [Paper]