Showing papers from University of Central Florida Show all papers
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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Bifurcation models learn set-valued solution maps via weight-tied dynamics, representing multi-branch attractor landscapes with almost everywhere regular selectors and outperforming single-branch supervision, though diversity requires explicit encouragement.
Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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ZFO decouples direction selection from step-size via zeroth-order curvature estimates along first-order directions, improving LLM fine-tuning with minimal overhead.
Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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Pass@k optimization degrades pass@1 via prompt interference, as its gradients conflict by upweighting negatively interfering, low-success prompts.
Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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TraXion introduces MESES axioms and a pre-training framework for multi-entity spatiotemporal event streams that beats mobility baselines and generalizes to security and health logs.
Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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OmniToM benchmarks LLM theory of mind via explicit belief modeling, revealing actor-specific belief-tracking bottlenecks in transforming narrative facts into shared mental states.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Revisiting dynamic scene graph generation via top-down reasoning, temporal relation sets, and importance-aware finetuning achieves state-of-the-art results.
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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ReaLM is a unified red-teaming benchmark for physical-world VLMs integrating 12 attacks, 3 defenses, and 13 frontier models.
Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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CORAL controls false object hallucinations in vision-language models via mirror statistics and uncertainty-aware visual splitting without retraining.
Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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Robust Nash Alignment optimizes policies via a four-player game against uncertain preference kernels, yielding certified worst-case bounds and near-optimal convergence.
Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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PHOEBI introduces a 120,000-image phase-contrast benchmark of bacterial mixtures; per-image classifiers collapse on unseen combinations, and anchor-based decoders over frozen features stabilize identification plus open-set rejection.
Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face
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ARL2 replaces cross-frame attention with fixed-size recurrent linear states, achieving linear-time scaling, constant memory, and improved temporal consistency in autoregressive video diffusion.
Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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LAMaS learns latency-aware orchestration for multi-agent systems via critical-path-aware credit assignment and adaptive runtime pruning, cutting latency over 50% while preserving accuracy.
Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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