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Showing papers from Nanjing University of Information Science and Technology Show all papers

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NeurIPS 2026Nanjing University of InformatioUnified multimodal models

Adaptive Internal Readout for Native Multimodal Models

Yunpeng Zhou

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

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57%Worth a look
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NeurIPS 2026East China NormalXiamenU WaterlooNanjing University of InformatioVisual grounding

LaSA-Net: A Language-Guided Network for Outdoor Generalized 3D Referring Expression Segmentation

Lingfei Ma, Bin Liu, Wen Li, Wentao Sun and 3 more

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
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45%Niche pick
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NeurIPS 2026Singapore ManagementNanyang TechnologicalNanjing University of InformatioNational University of SingaporeDeep RL

SimpleEvol: Efficient Intelligence Conversion via Less Human Prior in Automated Heuristic Design

Jianghan Zhu, Cong Zhang, Rongjie Zhu, CHI ZHANG and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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83%Must read
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NeurIPS 2026SpotlightSoutheastNanjing University of InformatioAnt GroupEfficient inference & serving

TreeGraft: Adaptive Multi-Drafter Grafting for Tree-Based Speculative Decoding

TreeGraft combines small and large drafters with a scheduler to build shared draft trees, boosting speculative decoding by 15.1% over single-drafter methods.

Jiaming Fan, Daming Cao, Canchen Huang, Jiale Fu and 5 more

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

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 2/5
78%Highly rated
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NeurIPS 2026kausableColumbiaKausableNanjing University of Informatiokausable GmbHAnomaly detection

In-context learning to predict critical transitions in dynamical systems

TipPFN uses in-context learning to robustly predict critical transitions in unseen dynamical regimes and real-world data from limited, noisy observations.

Yunus Sevinchan, Juan Nathaniel, Kai Ueltzhöffer, Carla Roesch and 7 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 1/5