Showing papers from University of Pennsylvania, University of Pennsylvania Show all papers
Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 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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Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 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 5, Fri, Dec 11, 10:00 AM–1:00 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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InvLT calibrates uncertainties by applying a shared monotonic scalar MLP to logits, preserving predictions independent of class count and outperforming baselines on standard benchmarks.
Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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An auction-based framework coordinates selfish local policies via urgency bids to adapt multi-objective reinforcement learning to evolving objectives, outperforming monolithic PPO policies.
Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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CausalSpatial benchmarks object-centric causal spatial reasoning, revealing MLLMs score 54% versus human 84% due to ungrounded textual reasoning, fixed by video-simulation framework COW.
Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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SpreadsheetBench 2 evaluates agents on end-to-end spreadsheet workflows, finding best models achieve only 34.89% accuracy with debugging at 12%.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · Code ★ 39
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Sparse Koopman autoencoders use sparse latent supports as label-free regime indicators that identify local dynamical basins and outperform dense autoencoders in multibasin forecasting.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Physical AI Smart Spaces introduces multi-camera 3D perception benchmarks for indoor smart spaces spanning synthetic and real-world data, plus 3D HOTA evaluation.
Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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pCoMole uses discrete flow matching to edit biomolecular sequences toward Pareto-optimal targets while enforcing hard biochemical and manufacturability constraints. Wet-lab tests show edited eGFP variants retain fluorescence after deletions and substitutions.
Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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LLMs overpredict social punishment relative to human judgments and align less with distant observers, revealing distorted second-order metanorm reasoning.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Bian Que is an agentic framework that arranges flexible skills for online system operations, reducing alerts by 75% and cutting resolution time by over 50%.
Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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TIGER-FG uses text-guided implicit fine-grained grounding and dual distillation to improve cropped-query e-commerce retrieval, boosting Recall@1 by up to 34.4 points without object detection.
Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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RegimeVGGT removes layer-wise spatial redundancy in VGGT via U-shaped cross-frame compression, yielding 6.7x speedup with preserved geometry and pose accuracy.
Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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PubMed is autonomously converted into structured biomedical datasets larger, more nuanced, and more accurate than manual repositories via ontology tagging, hybrid retrieval, and a multi-agent extraction system.
Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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A framework enforces per-sample constraints during language-model fine-tuning via learnable relaxations and augmented Lagrangians, reducing tail violations while preserving performance.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Selective imitation with SeqRejectron learns when to stop under arbitrary dynamics shifts, yielding horizon-free sample complexity via validator-based stopping rules with completeness and soundness guarantees.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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A single sensory-prediction recurrent network with Dale's Law co-emerges grid and place cells without supervision, reproducing key spatial coding phenomena.
Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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