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Brandon Ho

2 accepted papers

2026

Let's Think in Two Steps: Mitigating Agreement Bias in MLLMs with Self-Grounded Verification

ICLR 2026poster

Verifiers—functions assigning rewards to agent behavior—have been key for AI progress in domains such as math, code and games. However, extending these gains to domains without clear-cut success criteria (e.g., computer use) remains a challenge: while humans can recognize suitable outcomes, translat…

Cited by 0SourcecodeScholar
2024

TriageAgent: Towards Better Multi-Agents Collaborations for Large Language Model-Based Clinical Triage

EMNLP 2024finding

The global escalation in emergency department patient visits poses significant challenges to efficient clinical management, particularly in clinical triage. Traditionally managed by human professionals, clinical triage is susceptible to substantial variability and high workloads. Although large lang…