2 citations · 2 across the 12 of their papers we have counts for
6 papers · 1 filter
Cost-Aware Post-Hoc Deferral Under Calibration and Shift: An Environmental AI Case Study
Haoran Yu, Lifei Liu, Danping Zhang
Choosing a deferral policy for a frozen classifier requires more than ranking uncertain cases: confidence may be miscalibrated, errors have unequal costs, reviewers can err, and de…
Beyond Lexical Metrics: Sentence-Embedding Detection of Reviewer Habituation in AI Code Review
Haoran Yu, Lifei Liu, Danping Zhang
Code review is a key quality checkpoint between AI-generated code and production. As AI coding agents submit pull requests at scale, it is unclear whether reviewers reduce scrutiny…
Habituation at the Gate: Rising Approval and Declining Scrutiny in Human Review of AI Agent Code
Haoran Yu, Lifei Liu, Xiaochong Jiang +4
As AI coding agents (e.g., GitHub Copilot, Devin, OpenAI Codex, Cursor) submit pull requests to open-source repositories at scale, a key question arises: do human reviewers gradual…
Beyond Simpson's Paradox: A Cascade of Confounders in AI Agent Pull-Request Co-Authorship
Haoran Yu, Xiaochong Jiang, Lifei Liu +3
Pooled across five AI coding agents, pull requests (PRs) with a human Co-Authored-By trailer merge less often than purely-autonomous ones (53.8% vs. 79.8%) -- yet this aggregate fi…
When Safe Skills Collide: Measuring Compositional Risk in Agent Skill Ecosystems
Su Wang, Pin Qian, Yihang Chen +6
LLM agents increasingly rely on community-contributed skills that expand an agent's operational capability set. We study a core safety problem in agentic AI systems: whether indivi…
CREF: An LLM-based Conversational Software Repair Framework for Programming Tutors
Boyang Yang, Haoye Tian, Weiguo Pian +5
Program repair techniques offer cost-saving benefits for debugging within software development and programming education scenarios. With the proven effectiveness of Large Language…