Good Papers

Showing papers from University of Arkansas Show all papers

57%Worth a look
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HierFlow: Hierarchical Coupled Dual-Space Search for Automatic Agentic Workflow Generation

Dong Li, Yanchi Liu, Xujiang Zhao, Wei Cheng and 5 more

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

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1/20 AI panelreviewers recommend it

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
71%Highly rated
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Agentic Multi-Turn Reasoning: A Fairness Approach

Fair-MPO improves multi-turn agentic reasoning via multi-level preference optimization and a fairness objective that fixes long-horizon credit assignment and data imbalance, achieving state-of-the-art benchmark results.

Thanh-Dat Truong, Sankalp Pandey, Hugh Churchill, Jackson Cothren and 2 more

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

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7/20 AI panelreviewers recommend it

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AI panel: 7 of 20 reviewers recommend it
lenient 4/5
medium 3/10
strict 0/5
80%Must read
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OmniSpace: Efficient Geometry Awareness for Autonomous Vehicles MLLMs

OmniSpace improves autonomous vehicle MLLM spatial reasoning via camera pose injection, multi-view epipolar attention, and 3D geometric distillation without auxiliary 3D models, surpassing existing methods across planning, risk detection, and language benchmarks.

Anh Hao Vo, Phu Loc Nguyen, Khoa Vo, Sieu Tran and 6 more

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

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
91%Must read
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DriveSpatial: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving

DriveSpatial benchmarks vision-language models' spatiotemporal autonomous driving intelligence, finding a 28.4-point human gap with cognitive scene construction as the key bottleneck.

Anh Hao Vo, Khoa Vo, Phu Loc Nguyen, Sieu Tran and 9 more

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

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18/20 AI panelreviewers recommend it

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AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 3/5