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NeurIPS 2026StanfordU WashingtonU Washington; MetaCarnegie MellonStanford University/PinterestUnified multimodal models

M*: A Modular, Extensible, Serving System for Multimodal Models

Atindra Jha, Naomi Sagan, Keisuke Kamahori, Irmak Sivgin and 8 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026SpotlightMILA / McGillEPFLETHZ - ETH ZurichApertus ETH Zürich McGill University / MilaVision-language models

Scaling Laws for Multimodal Data Mixtures

Aditi Khandelwal, Ayush Kumar Tarun, Yixuan Xu, Imanol Schlag and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Department of Computer Science, Allen Institute for Artificial IU Washington; MetaU WashingtonVisual grounding

Vision-Language Grounding as Bidirectional Concept Correspondence

Grounding is formulated as bidirectional concept correspondence to recover all image-text span correspondences without prespecified phrases via ConCor-1, improving F1 by 48% and 29% over baselines.

Jieyu Zhang, Ziqi Gao, Luke Zettlemoyer, Ranjay Krishna

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 6 on Hugging Face · Code ★ 8

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AI panel: 12 of 20 reviewers recommend it
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medium 8/10
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