1 citations · 1 across the 10 of their papers we have counts for
10 papers
Reason Popper-ly: Patching In-Context Reasoning with Inductive Logic Programming
Zirong Chen, Meiyi Ma
Chain-of-thought (CoT) prompting enables large language models (LLMs) to tackle multi-step reasoning tasks, yet the generated intermediate steps are not guaranteed to be logically…
Modeling Spectral Energy Shifts in Spatio-Temporal Graph Anomaly Detection
Yilin Liu, Hongchao Zhang, Taylor T. Johnson +2
Graph anomaly detection methods aim to distinguish anomalous nodes. While prior methods characterize anomalies through increased variation in the spectral energy distributions, the…
Identifying Adversary Characteristics from an Observed Attack
Soyon Choi, Scott Alfeld, Meiyi Ma
When used in automated decision-making systems, machine learning (ML) models are vulnerable to data-manipulation attacks. Some defense mechanisms (e.g., adversarial regularization)…
PACE: A Personalized Adaptive Curriculum Engine for 9-1-1 Call-taker Training
Zirong Chen, Hongchao Zhang, Meiyi Ma
9-1-1 call-taking training requires mastery of over a thousand interdependent skills, covering diverse incident types and protocol-specific nuances. A nationwide labor shortage is…
BEAGLE: Behavior-Enforced Agent for Grounded Learner Emulation
Hanchen David Wang, Clayton Cohn, Zifan Xu +3
Simulating student learning behaviors in open-ended problem-solving environments holds potential for education research, from training adaptive tutoring systems to stress-testing p…
Empowering 9-1-1 Calltaking Training with Generative AI: Experiences and Lessons Learned
Zirong Chen, Meiyi Ma
Emergency call-takers form the first operational link in public safety response, handling over 240 million calls annually while facing a sustained training crisis: staffing shortag…
Learning with Preserving for Continual Multitask Learning
Hanchen David Wang, Siwoo Bae, Zirong Chen +1
Artificial intelligence systems in critical fields like autonomous driving and medical imaging analysis often continually learn new tasks using a shared stream of input data. For i…
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation
Zirong Chen, Elizabeth Chason, Noah Mladenovski +4
Emergency response services are vital for enhancing public safety by safeguarding the environment, property, and human lives. As frontline members of these services, 9-1-1 dispatch…
Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction
Shuyang Dong, Meiyi Ma, Josephine Lamp +3
There is a growing trend toward AI systems interacting with humans to revolutionize a range of application domains such as healthcare and transportation. However, unsafe human-mach…
Auto311: A Confidence-guided Automated System for Non-emergency Calls
Zirong Chen, Xutong Sun, Yuanhe Li +1
Emergency and non-emergency response systems are essential services provided by local governments and critical to protecting lives, the environment, and property. The effective han…