activity
20202026
collaborators

5 papers

cs.SE2026

When Does Restricting a Coding Agent to execute_code Help? A Regime Agent-Design Ablation

Hong Yang, Qi Yu, Travis Desell

Modern coding agents expose multiple tool surfaces -- IDE primitives, bash, and Model Context Protocol (MCP) code-execution -- and the field has shipped three contradictory claims…

cs.LG2026

Beyond the Class Subspace: Teacher-Guided Training for Reliable Out-of-Distribution Detection in Single-Domain Models

Hong Yang, Devroop Kar, Qi Yu +2

Out-of-distribution (OOD) detection methods perform well on multi-domain benchmarks, yet many practical systems are trained on single-domain data. We show that this regime induces…

cs.LG2025

Domain Feature Collapse: Implications for Out-of-Distribution Detection and Solutions

Hong Yang, Devroop Kar, Qi Yu +2

Why do state-of-the-art OOD detection methods exhibit catastrophic failure when models are trained on single-domain datasets? We provide the first theoretical explanation for this…

cs.LG2025

Can We Ignore Labels In Out of Distribution Detection?

Hong Yang, Qi Yu, Travis Desell

Out-of-distribution (OOD) detection methods have recently become more prominent, serving as a core element in safety-critical autonomous systems. One major purpose of OOD detection…

cs.AI2020

Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility

Jeffrey Palmerino, Qi Yu, Travis Desell +1

When self-adaptive systems encounter changes within their surrounding environments, they enact tactics to perform necessary adaptations. For example, a self-adaptive cloud-based sy…