Showing papers from Google Deepmind Show all papers
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 5, Thu, Dec 10, 10:00 AM–1:00 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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Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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ECC calibrates semantic embeddings with limited model comparisons to cluster queries by latent capability demands, improving LLM ranking by ~18 points over semantic baselines and aiding query routing.
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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AgentOWL jointly learns hierarchical neural options and an abstract world model for sample-efficient skill acquisition, outperforming baselines on object-centric Atari games with fewer samples and stronger generalization.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Dual-Rate Diffusion accelerates diffusion inference by interleaving sparse heavy context encoders with light denoising models, cutting computation 2-4x without quality loss.
Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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URDF-Anything+ directly generates simulation-ready articulated URDF models from single RGB images via end-to-end autoregressive diffusion, outperforming prior methods in reconstruction quality, joint estimation, and physical executability.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face
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LittleLearner is a 5B-parameter model trained on grade-capped elementary data to study controlled knowledge acquisition and bounded capability growth.
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 9 on Hugging Face
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The FACTS Leaderboard benchmarks large language model factuality across multimodal, parametric, search, and grounding tasks via automated judges.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 8 on Hugging Face
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LLM pipeline evaluation variance is underestimated because design choices are ignored, so corrected intervals restore coverage and cut benchmark gaming.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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A tri-modal masked diffusion model pretrained from scratch on text, image-text, and audio-text data achieves strong cross-modal generation and introduces an SDE-based batch-size reparameterization.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 4 on Hugging Face
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Second-order VAW on short ARX models achieves dimension-free regret O(δ⁻⁴ log² T) for marginally stable linear sequence prediction via universal preconditioning and Faber polynomial analysis.
Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026
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MIND uses sliced Wasserstein distance via sorting to evaluate generative models with 10x better sample efficiency, 100x faster computation, and greater adversarial robustness than FID.
Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026
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IDEAFix evaluates LLM divergent thinking via controlled design scenarios and defixation prompts, showing task formulation and simple prompting boost originality but homogenization persists.
Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026
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