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Showing papers from Brigham Young University Show all papers

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NeurIPS 2026Brigham YoungFlorida StatePrivacy

GraphIP–Bench: How Hard Is It to Steal a Graph Neural Network, and Can We Stop It?

Kaixiang Zhao, Bolin Shen, Yuyang Dai, Shayok Chakraborty and 1 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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medium 0/10
strict 0/5
45%Niche pick
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NeurIPS 2026MBZUAI Institute of Foundation MMohamed bin Zayed University of Brigham YoungUC San DiegoU California, San DiegoOptimization

Concise Reasoning Through the Lens of Lagrangian Optimization

Chengqian Gao, Haonan Li, Taylor Killian, Jianshu She and 5 more

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

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78%Highly rated
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NeurIPS 2026Brigham YoungPennsylvania StateU North Carolina at Chapel HillLLM reasoning & chain of thought

LARK: Learnability-Grounded Trajectory Selection for Efficient Reasoning Distillation

LARK selects reasoning trajectories by student learnability via a training-loss rate factor and chi-squared-regularized policy, improving reasoning distillation efficiency and generalization.

Tianrun Yu, Kaixiang Zhao, Chih-Chun Chen, Amanda Hughes and 4 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 1/5