Showing papers from University of Wisconsin, Madison Show all papers
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 4, Thu, Dec 10, 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 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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P-Bench reveals LLM agents make subtle inferential errors in hypothesis testing, and Fisher-R1 improves reliability via reinforcement learning to outperform GPT-5.4 and DeepSeek-V4-Pro.
Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face
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MAST combines masked audio pretraining and self-training to improve sound detection across ecological domains, achieving substantial cross-site gains with minimal labeled data.
Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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OAT trains neural controlled differential equations on successful agent trajectories to detect failure steps without failure annotations, outperforming prompting baselines by up to 20% F1 with 200-5000x speedup.
Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 16 on Hugging Face
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PACEvolve++ adapts evolutionary search policies at test time via advisor-model reinforcement learning, using phase-adaptive optimization to outperform frontier-model baselines across engineering and protein tasks.
Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 4 on Hugging Face
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Agent security requires systems-level invariants treating AI as untrusted, since model robustness alone cannot prevent real-world agent attacks.
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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