Showing papers from Oregon State University Show all papers
Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · 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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Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Fail-closed alignment builds redundant refusal pathways to prevent alignment collapse under jailbreaks, yielding stronger robustness with minimal overhead.
Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026
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MetaCluster trains a meta-learner to map KAN coefficient embeddings onto a low-dimensional manifold, enabling k-means clustering that replaces per-edge vectors with shared centroids to achieve up to 124x parameter reduction without accuracy loss.
Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face
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EVOCHAMBER enables training-free multi-agent test-time co-evolution across individual, team, and population scales via asymmetric cross-agent knowledge transfer, achieving up to 32% relative math gains and emergent specialization.
Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 10 on Hugging Face · Code ★ 4
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Mathematical reviewer precision does not ensure critique uptake in multi-agent reasoning, and peer discussion outperforms hierarchical reviewer pipelines on hard problems despite lower reviewer accuracy.
Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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This framework generates ancestral bird vocalizations by inferring decodable VAE latents guided by phylogenetic traits, achieving genuine generation and naturalistic audio quality.
Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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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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