Showing papers from Ohio State University, Columbus Show all papers
Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 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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Sydney Poster Session 5, Thu, Dec 10, 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 4, Wed, Dec 9, 5:00 PM–8:00 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 5, Fri, Dec 11, 10:00 AM–1:00 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 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026
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Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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GPASV extends priority-aware Shapley values to cyclic weighted priority graphs via penalized violations, yielding differing LLM ensemble valuations.
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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3D-PLOT-LLM inserts learnable part tokens into frozen point features to enable part-level reasoning in 3D LLMs with under 1M parameters, outperforming prior part-aware models on part-QA and grounded description benchmarks.
Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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Modified confidence-filtered beam search achieves near-linear token-level coverage scaling versus quadratic for vanilla beam search, with polynomial horizon dependence that outperforms exponentially scaling Best-of-N methods.
Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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RLBD trains a reinforcement learning policy to adaptively select Benders cuts, substantially improving computational efficiency and generalizing across problem variations.
Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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SkillsBench benchmarks agent skills across 87 tasks, finding curated skills boost pass rates by 16.6 points, with focused small bundles often outperforming larger ones.
Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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WildBox provides aerial monocular 3D wildlife annotations and benchmarks showing zero-shot 3D detection collapses to zero, with fine-tuning reaching 13.17 AP3D and depth as the dominant failure mode.
Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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Adam converges with high probability on generalized-smooth objectives under only second-moment stochastic gradients, matching a sharp δ^{-1/2} confidence dependence and yielding expectation rates for p<1.
Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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PhenoAIR reformulates Cell Painting mechanism prediction as calibrated evidence reasoning via multi-agent evaluation of noisy retrieved neighbors, outperforming matching and LLM baselines across open-world settings.
Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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This paper introduces a multimodal benchmark for cause-of-death inference in child mortality data, showing zero-shot language models synthesize unstructured medical evidence differently than supervised baselines.
Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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QUEST trains open deep research agents via synthetic rubric-tree tasks and context management, achieving frontier-level performance across eight benchmarks with only 8K examples.
Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 43 on Hugging Face · Code ★ 257
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ACuRL enables autonomous continual learning for computer-use agents via curriculum reinforcement learning, yielding 3-29% gains without catastrophic forgetting or human data.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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