PLanet is a DSL that formalizes assignment procedures via matrix algebra operators, enabling static analysis of testable causal queries under explicit assumptions.
Victoria E Johnson, Kevin L Nadal, Dani R G Sissoko, and Rukiya King
4 Pith papers cite this work. Polarity classification is still indexing.
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RLVER agents improve emotional responsiveness under adversarial user behaviors but exhibit no measurable gains in tracking emotional states compared to untuned base models.
XARP provides a WebSocket-based remote-procedure system that lets Python code and AI agents control Unity XR clients, with benchmarks and user studies showing faster iteration than conventional XR workflows.
RECOVER is an LLM-powered RPM system for postoperative GI cancer care, built from 7 participatory design sessions and 5 patient interviews, then piloted with 4 staff and 5 patients to derive design strategies and responsible AI insights.
citing papers explorer
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PLanet: Formalizing and Analyzing Assignment Procedures in the Design of Experiments
PLanet is a DSL that formalizes assignment procedures via matrix algebra operators, enabling static analysis of testable causal queries under explicit assumptions.
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Can You Break RLVER? Probing Adversarial Robustness of RL-Trained Empathetic Agents
RLVER agents improve emotional responsiveness under adversarial user behaviors but exhibit no measurable gains in tracking emotional states compared to untuned base models.
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XARP Tools: An Extended Reality Platform for Humans and AI Agents
XARP provides a WebSocket-based remote-procedure system that lets Python code and AI agents control Unity XR clients, with benchmarks and user studies showing faster iteration than conventional XR workflows.
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RECOVER: Designing a Large Language Model-based Remote Patient Monitoring System for Postoperative Gastrointestinal Cancer Care
RECOVER is an LLM-powered RPM system for postoperative GI cancer care, built from 7 participatory design sessions and 5 patient interviews, then piloted with 4 staff and 5 patients to derive design strategies and responsible AI insights.