1 citations · 2 across the 8 of their papers we have counts for
8 papers
Open, Reliable, and Collective: A Community-Driven Framework for Tool-Using AI Agents
Hy Dang, Quang Dao, Meng Jiang
Tool-integrated LLMs retrieve information, perform computations, and take real-world actions, but their reliability depends on both tool-use accuracy and intrinsic tool accuracy, i…
Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates
Hy Dang, Tianyi Liu, Zhuofeng Wu +9
Large language models (LLMs) have demonstrated strong reasoning and tool-use capabilities, yet they often fail in real-world tool-interactions due to incorrect parameterization, po…
Optimizing Decomposition for Optimal Claim Verification
Yining Lu, Noah Ziems, Hy Dang +1
Current research on the \textit{Decompose-Then-Verify} paradigm for evaluating the factuality of long-form text typically treats decomposition and verification in isolation, overlo…
Uncovering Disparities in Rideshare Drivers Earning and Work Patterns: A Case Study of Chicago
Hy Dang, Yuwen Lu, Jason Spicer +6
Ride-sharing services are revolutionizing urban mobility while simultaneously raising significant concerns regarding fairness and driver equity. This study employs Chicago Trip Net…
Embedding Mental Health Discourse for Community Recommendation
Hy Dang, Bang Nguyen, Noah Ziems +1
Our paper investigates the use of discourse embedding techniques to develop a community recommendation system that focuses on mental health support groups on social media. Social m…
A Quantitative Review on Language Model Efficiency Research
Meng Jiang, Hy Dang, Lingbo Tong
Language models (LMs) are being scaled and becoming powerful. Improving their efficiency is one of the core research topics in neural information processing systems. Tay et al. (20…
Wound Healing Modeling Using Partial Differential Equation and Deep Learning
Hy Dang
The process of wound healing has been an active area of research around the world. The problem is the wounds of different patients heal differently. For example, patients with a ba…
Image-based Vehicle Re-identification Model with Adaptive Attention Modules and Metadata Re-ranking
Quang Truong, Hy Dang, Zhankai Ye +2
Vehicle Re-identification is a challenging task due to intra-class variability and inter-class similarity across non-overlapping cameras. To tackle these problems, recently propose…