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NeurIPS 2026The University of Hong Kong U Waterloo UCSC Meta Massachusetts Institute of Techn Unified multimodal models

Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation

Tuna-2 replaces vision encoders with patch embeddings for end-to-end pixel-space multimodal understanding and generation, achieving state-of-the-art results that outperform encoder-based designs at scale.

Zhiheng Liu, Weiming Ren, Xiaoke Huang, Shoufa Chen and 11 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 70 on Hugging Face · Code ★ 756

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lenient 4/5

medium 6/10

strict 1/5

Learning-Augmented Online Scheduling with Parsimonious Preemption

Learning-augmented online scheduling achieves O(1)-competitive latency with O(1) preemptions per job on parallel machines, with overhead scaling logarithmically in prediction error.

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7/20 AI panelreviewers recommend it

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AI panel: 7 of 20 reviewers recommend it

lenient 2/5

medium 4/10

strict 1/5