arxiv arXiv cs.CL · 53d ago · research

RubricsTree: Scalable Evaluation Framework for Personal Health Agents

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RubricsTree introduces a hierarchical taxonomy of over 100 clinically-verifiable Boolean rubrics, evolved from 4,000 real user queries via human-in-the-loop curation. It enables scalable, expert-aligned evaluation of personal health agents by dynamically routing queries to relevant rubrics and outperforms baseline methods in alignment, context sensitivity, and model performance gains of up to 66% on HealthBench.

Importance 3/3 Beats a top-lab benchmark New feature vs. leaders arXiv cs.CL Mistral AI Alibaba (Qwen) Google DeepMind Evaluation & benchmarks Open weights Reasoning models

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arxiv arXiv cs.AI · 53d ago · 2 views

RubricsTree: Scalable Evaluation Framework for Personal Health Agents

RubricsTree introduces a hierarchical taxonomy of over 100 clinically-verifiable Boolean rubrics, evolved from 4,000 real user queries via human-in-the-loop curation. It enables scalable, expert-aligned evaluation of personal health agents by dynamically routing queries to relevant rubrics and outperforms baseline methods in alignment, context degradation detection, and model performance gains of up to 66% on HealthBench.

arxiv arXiv cs.CL · 47d ago · 6 views

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arxiv arXiv cs.CL · 53d ago · 2 views

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