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Showing papers from George Mason University Show all papers

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NeurIPS 2026U Illinois at ChicagoU Tennessee, KnoxvilleGeorge MasonAcademia SinicaSun Yat-senData curation

Subdata Selection: A Unified Framework for Optimal Selection and Statistical Efficiency Assessment

Min Yang, Wei Zheng, John Stufken, Ming-Chung Chang and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Johns HopkinsCohereGeorge MasonLLM evaluation & benchmarks

The Narrative Gap: Can LLMs help us Navigate Diverse Narratives Across Languages?

Nikhil Sharma, Kelly Marchisio, Kenton Murray, Ziang Xiao

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026George MasonEmbodied agents

SCOUT: Planning under Occlusion via Object-Centric World Model Rollouts

Amir Hossain Raj, Xuesu Xiao

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026George MasonAVA LabsOverLabSim-to-real

CLAMP: A Sim-to-Real Benchmark for Closed-Loop Kinematic Pose Estimation and Assembly Reasoning

Kevin Murray, Randolph B Robert, Petar Z Duric, Zoran Duric

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026George MasonFinance & economics

Speakeasy: Auditing Cheap Signals in Peer Prediction

Fang-Yi Yu, Yuang Zhang

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026George MasonThomas Jefferson High School forOak Ridge National LaboratoryML systems & compilers

HPC-Bench: A Comprehensive Benchmark for High Performance Computing Codes

Bowen Cui, Junyu Yin, Tejas Ramesh, Leo Lim and 2 more

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

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NeurIPS 2026George MasonNICTDeep RL

Verifying Neural Networks with Reinforcement Learning

RSB uses reinforcement learning to optimize neural network verification branching heuristics, solving 11% more instances and cutting branch exploration by 50%.

Hai Duong, Thanh Le, ThanhVu Nguyen

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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80%Must read
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NeurIPS 2026George MasonEfficient inference & serving

Elastic Spectral State Space Models for Train-Once Budgeted Inference

ES-SSM enables train-once deployment across budgets by truncating spectral SSM channels, yielding smooth quality-cost curves and competitive compact models.

Dachuan Song, Junyu Yin, Zechen Hu, Xuan Wang

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

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AI panel: 12 of 20 reviewers recommend it
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