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Showing papers from The University of North Carolina at Chapel Hill Show all papers

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Distribution-First Framework for Learning Risk-Sensitive Individualized Treatment Rules

Zhen Fang, Guanting Chen, Yufeng Liu

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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See, Read, Compare: Candidate-Aware Verification for Agent Test-Time Scaling

Xinyu Ye, Yongliang Wu, Xingyu Zhu, Peng Xia and 6 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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medium 0/10
strict 0/5
80%Must read
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SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning

SkillRL evolves agents via recursive skill-augmented reinforcement learning with automatic skill discovery and hierarchical library co-evolution, cutting token use while achieving state-of-the-art results across complex tasks.

Peng Xia, Jianwen Chen, Hanyang Wang, Jiaqi Liu and 9 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 75 on Hugging Face · Code ★ 998

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5