Skip to content

Author

Hao-Ran Yu

We have 7 of 17 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Sep 2026

Toward Sustainable AI Deployment: A Carbon-Aware Decision Framework for Enterprise Supply Chain Systems

Enterprises deploying AI for supply chain decisions commonly default to the largest available language model, a procurement heuristic that neglects both empirical performance and environmental cost. We benchmark six large language models across 520 supply chain tasks, simultaneously measuring decision quality and estim...

Hao-Ran Yu, Li-Fei Liu, Dan Zhang · 0 citations
Review Sep 2026

Beyond Lexical Metrics: Sentence-Embedding Detection of Reviewer Habituation in AI Code Review

Code review is a key quality checkpoint between AI-generated code and production and reviewer adaptation is detectable in latent distributional structure rather than in classical lexical metrics, and language shifts follow rather than precede changes in approval behavior.

Hao-Ran Yu, Li-Fei Liu, Dan Zhang · 0 citations
#natural language process... Preprint Sep 2026

MedTRACE: Tool-Augmented Multimodal Clinical Reasoning Agents for Evidence-Grounded Decision-Making

Multimodal clinical decision-making requires reliable reasoning over heterogeneous evidence from electronic health records, medical images, and physiological signals. Existing models typically map these inputs directly to diagnoses without explicitly assessing evidence sufficiency, tool-use requirements, or diagnostic...

Ji Lu, Li-Fei Liu, Hao-Ran Yu et al. · 0 citations
Preprint Aug 2026

Attesting Outputs and Delegation Ancestry in Multi-Agent AI Systems

Multi-agent applications delegate work across independently operated deployers. After an incident, a verifier must answer two questions: which deployer released the reported bytes, and whether each cross-deployer edge was authorized. Credentials establish who may act, but need not bind them to later output bytes or pro...

Li-Fei Liu, Hao-Ran Yu · 2 citations
Jul 2026

Phantom Guardrails: When Self-Improving Agent Harnesses Fix Failures That Never Happened

This work introduces the Counterfactual Fabrication Lab, a deterministic micro-lab where the correct action is known: do nothing, and presents the Counterfactual Fabrication Lab for measuring fabricated failures in self-improving agent harnesses.

Su Wang, Pinyan Qian, Yifan Lin et al. · 6 citations · ⚡2

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.