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Showing papers from National University of Singapore Show all papers

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arXivNational University of SingaporeHarbin Institute of TechnologyVideo generation

FrameMorrow: Future-guided Frame Selection with Prospective Tokens for Long-Horizon Video Generation

FrameMorrow guides historical frame selection via prospective tokens representing future needs, improving consistency and quality across diverse long-horizon video generators.

Bo Yin, Xiaobin Hu, Jiaqi Zhao, Shuicheng Yan

Published Sep 30, 2026 · 0 citations · ▲ 105 on Hugging Face · Code ★ 29

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arXivNational University of SingaporeRobot manipulation

Agent Priors-guided Policy Learning

Agent Priors-guided Policy Learning embeds structural priors in skill interfaces to enable compositional and out-of-distribution skill generalization.

Puming (Oscar) Jiang, Tao Hu, Haozhe Du, Yibo Li and 3 more

Published Sep 28, 2026 · 0 citations · ▲ 84 on Hugging Face · Code ★ 3

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86%Must read
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arXivU WaterlooDukeNational University of SingaporeLLM agents & planning

X-Tree: Tokenizing Reusable Experience for Efficient Agent Generalization

X-Tree learns reusable hierarchical skills from agent trajectories and improves success rates up to 5.8% across web and science benchmarks.

Sitao Cheng, Xunjian Yin, Zhiyuan Sun, Yuxuan Li and 3 more

Published Sep 26, 2026 · 0 citations · ▲ 76 on Hugging Face · Code ★ 2

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80%Must read
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arXivU Science and Technology of ChinMeituanWuhanNational University of SingaporeLLM agents & planning

PluginRSI: Recursive Improvement of Agent Harnesses with Reusable Plugins

PluginRSI evolves agent harnesses via reusable plugins, improving over existing methods and accelerating optimization on unseen tasks.

Yaorui Shi, Yuchun Miao, Yuxin Chen, Jiayuan Zhang and 4 more

Published Sep 26, 2026 · 0 citations · ▲ 7 on Hugging Face

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70%Highly rated
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ACL 2025Singapore-MIT Alliance for ReseaNational University of SingaporeMassachusetts Institute of TechnEfficient inference & serving

TETRIS: Optimal Draft Token Selection for Batch Speculative Decoding

TETRIS selects optimal draft tokens for batch speculative decoding, improving inference speed and efficiency across varied batch sizes.

Zhaoxuan Wu, Zijian Zhou, Arun Kumar Verma, Alok Prakash and 2 more

Published 2025 · 0 citations

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57%Worth a look
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EMNLP 2025FindingsSingapore-MIT Alliance for ReseaNational University of SingaporeAgency for Science, Technology aSystems, Applications & ProductsAI SingaporeLLM pretraining & scaling laws

Uncovering Scaling Laws for Large Language Models via Inverse Problems

Inverse problem methods uncover scaling laws for large language models, revealing predictive relationships between model size, data, and performance from abstract evidence.

Arun Verma, Zhaoxuan Wu, Zijian Zhou, Xiaoqiang Lin and 14 more

Published 2025 · 0 citations

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80%Must read
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ACM Transactions on Knowledge Discovery from Data 2024U Science and Technology of ChinNational University of SingaporeGraph neural networks

Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning

Causal attention learning via backdoor adjustment separates causal and shortcut graph features to improve out-of-distribution generalization of GNNs.

Yongduo Sui, Wenyu Mao, Shuyao Wang, Xiang Wang and 3 more

Published Feb 6, 2024 · 31 citations

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AI panel: 12 of 21 reviewers recommend it
lenient 4/5
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67%Highly rated
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Agency for Science, Technology aNational University of SingaporeSingapore-MIT Alliance for ReseaChinese University of Hong Kong,LLM pretraining & scaling laws

Position Paper: Data-Centric AI in the Age of Large Language Models

This position paper argues for data-centric AI in the age of large language models and proposes research directions.

Xinyi Xu, Zhaoxuan Wu, Rui Qiao, Arun Verma and 15 more

Published 2024 · 2 citations

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NeurIPS 2026SpotlightNational University of SingaporeDeep learning theory

Point-to-Manifold Geometry: Flexibly Overcoming the Curse of Dimensionality in Neural Computational Units

Rohan Ghosh, Mehul Motani

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

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NeurIPS 2026National University of SingaporeU Science and Technology of ChinVision-language models

Diffusion Thinking for Fast Long-Form Spatial Reasoning in Vision--Language Models

Zhitao Zeng, weitao Du, Yueming Jin

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

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NeurIPS 2026Shanghai Jiao TongNortheasternVietnam Academy of Science and TNational University of SingaporeTraining dynamics

Two-Clustering Regime of Token Dynamics in Causal Attention

Trinh Nguyen, Duy-Tung Pham, Hoang-Son Do, Tan Nguyen and 1 more

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

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NeurIPS 2026National University of SingaporeShanghai JiaotongCode generation

SpecBridge: Learning Natural-Language Formalization Plans for the Formal Specification Synthesis Task

Wenjie Zhang, Yun Lin, Zining He, Meiqi Wu and 1 more

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

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NeurIPS 2026national university of singaore,National University of Singapore3D vision & reconstruction

EmbodiedObject: All-in-One Object Understanding with SLAT

Seungjun Lee, Zihan Wang, Gim Hee Lee

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

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NeurIPS 2026Shanghai Jiao TongNational University of SingaporeShanghai JiaotongEast China NormalShanghai Institute of Aerospace Software engineering agents

Enhancing Agentic Code Localization with Traceability Recovered from Repository Evolution

Yiming Liu, Binhang Qi, Weiyu Kong, Jiawei Liu and 3 more

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

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NeurIPS 2026TsinghuaNational University of SingaporeUBCBayesian & probabilistic methods

How Much Information is Needed for Accurate Kalman Filtering?

Wenhan Cao, Xuyang Chen, Shuyuan Wang, Lin Zhao

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Chang'anChang‘anNational University of SingaporeChang’anVision-language models

Omni-SpikeDet: A Spiking Open-World Detector with Dynamic Text–Image Alignment

Ziqi Li, Tao Gao, Ting Chen, Xin Zhang and 3 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026National University of SingaporeNational university of SingaporeU Michigan - Ann ArborImage restoration

PolarScale: A Physics-Grounded Benchmark for Radiometrically Consistent RGB-to-Stokes Estimation

Beibei Lin, Tingting Chen, Xin Zhang, Wenhao Zhao and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026National University of SingaporeUnified multimodal models

FuseAdapt: Adaptation-Space Fusion for Multi-Modal Semantic Segmentation with Missing Modalities

Xin Zhang, Robby Tan

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

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NeurIPS 2026National University of SingaporeSingapore Managementnational university of singaore,AI oversight & deception

LLM-enabled Applications Require Systematic Threat Monitoring

Yedi Zhang, Haoyu Wang, XIANGLIN YANG, Jin Song Dong and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026National University of SingaporeIndependent ResearcherFPT JapanActivation steering

Revisiting Activation Steering Through an Optimization Lens

Ryan Lee, Dung V Nguyen, Minh Hieu Vu, Noelle Y.L. Wong 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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