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NeurIPS 2026The University of QueenslandAdelaideBaiduPekingVideo understanding

StreamMind: Dynamic Streaming Cognition for Online Video Understanding

Zhuojie Wu, Xin Shen, Chenxi Miao, Weikang Li and 3 more

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

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NeurIPS 2026The Chinese University of Hong KU Hong KongWuhanBaiduBaidu Inc.3D vision & reconstruction

Latent Spatial Reasoning: Building Innate 3D Awareness via Latent-Space Distillation

Ruifei Zhang, Xiangru Lin, Haoyuan Li, Wei Zhang 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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67%Highly rated
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NeurIPS 2026Syneron BioJilinChangchun University of Science Communication University of ChinSyneron OpalMolecules & drug discovery

PepDDG: Peptide–Protein Binding ΔΔ𝐺 Prediction via Information Channel Decomposition

Ruochi Zhang, Yusi Fan, Qiong Zhou, Li Jiao and 9 more

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

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NeurIPS 2026SpotlightIntelligent Science & TechnoBaiduChina Aerospace Science and InduBeijing University of AeronauticPekingDiffusion models

All-Addition Spiking Diffusion Models with Attention Enhancement

Yuhan Zhang, Yuanpei Chen, Zhou Jie, Weihang Peng 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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NeurIPS 2026SoochowBaiduTencentBaidu Inc.Soochow University, ChinaEfficient attention & state-space models

Prism Attention: Proposal-Refined Index Sharing Mechanism for Efficient LLMs Inference

Zhenxu Tian, Kebin Liu, Zhengwu Yang, Yi Su 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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NeurIPS 20261011AIBaiduPekingBaidu Inc.LLM pretraining & scaling laws

Virtual Head Attention

Xibo Ding, Guoxia Wang, Jinle Zeng, Jiabin Yang and 3 more

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

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67%Highly rated
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NeurIPS 2026PekingBaiduByteDance Inc.Baidu Inc.Code generation

RepoZero: Can LLMs Generate a Code Repository from Scratch?

Zhaoxi Zhang, Yiming Xu, Jiahui Liang, Weikang Li and 6 more

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

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lenient 1/5
medium 1/10
strict 0/5
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NeurIPS 2026FudanTsinghuaPekingBaiduZhejiangAlignment & preference optimization

The Illusion of Diversity: Aligning LLM Exploration via Effective Entropy

Xiaoliang Fu, Jiaye Lin, Yangyi Fang, Cong Qin 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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57%Worth a look
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NeurIPS 2026BaiduRL for LLMs

Knowledge-Level Consistency Reinforcement Learning: Dual-Fact Alignment for Long-Form Factuality

Junliang Li, Yucheng Wang, Yan Chen, Yu Ran and 4 more

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

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NeurIPS 2026BaiduNortheasternBaidu Inc.ZhejiangEfficient attention & state-space models

FlashMask-3: Efficient and Expressive Mask-Aware Distributed Attention

Guoxia Wang, Qianyue He, Siming Wu, Haoyang Xie and 5 more

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

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NeurIPS 2026U Virginia, CharlottesvilleBaiduU California, Los AngelesU BirminghamLong-context modeling

Low-Rank Hierarchical Merging for Efficient Long-to-Short Reasoning

Zeqiu Yu, Xuesheng Zhang, Wenxiao Zhao, Shixiao Wang

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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86%Must read
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NeurIPS 2026TsinghuaCity University of Hong KongXi'an JiaotongResearch, BaiduBaiduLong-context modeling

When Less is More: The LLM Scaling Paradox in Context Compression

Under lossy context compression, larger compressors reduce reconstruction error but increase unfaithfulness via knowledge overwriting and semantic drift, violating scaling laws for faithful preservation.

Ruishan Guo, Yibing Liu, Guoxin Ma, Yan Wang and 5 more

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

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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 3/5
78%Highly rated
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NeurIPS 2026XiaohongshuRenmin University of ChinaU Southern CaliforniaBaiduChinese Academy of SciencesLLM agents & planning

OASES: Outcome-Aligned Search-Evaluation Co-Training for Agentic Search

OASES co-trains a search policy and adaptive evaluator to provide outcome-aligned process rewards, outperforming RL baselines on multi-hop QA benchmarks.

Erhan Zhang, Yiqun Chen, Zechun Niu, Wei Yang and 5 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 1/5
71%Highly rated
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NeurIPS 2026PekingMicrosoftBaiduSegmentation

Rethinking Vector Field Learning for Generative Segmentation

Flow matching for generative segmentation suffers gradient vanishing and trajectory traversing, causing slow convergence and poor class separation; reshaping the velocity field with distance-aware corrections and Kronecker-based category encoding narrows the gap with discriminative specialists.

Chaoyang Wang, Yaobo Liang, Boci Peng, Fan Duan 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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7/20 AI panelreviewers recommend it

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AI panel: 7 of 20 reviewers recommend it
lenient 1/5
medium 6/10
strict 0/5
78%Highly rated
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NeurIPS 2026SUN YAT-SEN UNIVERSITYBaiduBaidu Inc.CardiffSun Yat-senVideo generation

World Models as Group Actions

World models are formalized as group actions to enforce compositional dynamics via identity, inverse, and composition consistency, improving structural metrics without harming visual quality.

Zijie Wang, Wei Zhang, Weiming Zhang, Fanqi Zhang and 3 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5
89%Must read
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NeurIPS 2026The Hong Kong University of ScieThe Hong Kong University of ScieHong Kong University of Science XidianBaiduVideo-language models

MedHorizon: Towards Long-context Medical Video Understanding in the Wild

MedHorizon benchmarks long medical video understanding via sparse evidence retrieval and multi-hop reasoning, with top models reaching only 41.1% accuracy.

Bodong Du, Bowen Liu, Yang YU, Xinpeng Ding and 7 more

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

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5
78%Highly rated
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NeurIPS 2026BaiduTencentXiamenWuhanBaidu Inc.Unified multimodal models

Native Audio-Visual Alignment for Generation

NAVA proposes native audio-visual alignment with an Align-then-Fuse MMDiT architecture for joint audio-video generation, achieving superior synchronization, video quality, and timbre control with 6.3B parameters.

Longbin Ji, Guan Wang, xuan wei, Chenye Yang and 4 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 31 on Hugging Face · Code ★ 226

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 0/5
72%Highly rated
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NeurIPS 2026National University of SingaporeBaiduTsinghua University, Chinapjlab.org.cnBaidu Inc.Video generation

ONE-SHOT: Compositional Human-Environment Video Synthesis via Spatial-Decoupled Motion Injection and Hybrid Context Integration

ONE-SHOT factorizes compositional video generation via spatial-decoupled motion injection and hybrid context integration, achieving fine-grained human-environment control and minute-level consistency without 3D alignment.

Fengyuan Yang, Luying Huang, Jiazhi Guan, Quanwei Yang and 7 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 9 on Hugging Face

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AI panel: 8 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 0/5
86%Must read
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NeurIPS 2026TencentTsinghuaFudanU Illinois at ChicagoBaiduRL for LLMs

AEM: Adaptive Entropy Modulation for Multi-Turn Agentic Reinforcement Learning

AEM adaptively modulates response-level entropy dynamics for supervision-free credit assignment in multi-turn agent RL, improving exploration-exploitation trade-offs and consistently boosting strong baselines across ALFWorld, WebShop, and SWE-bench-Verified.

Haotian Zhao, Songlin Zhou, Yuxin Zhang, Stephen S Yau and 8 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 21 on Hugging Face

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 0/5
86%Must read
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NeurIPS 2026Institute of Computing TechnologBaidu, Chinese Academy of SciencesXiaohongshuAlibabaLLM agents & planning

Knowledge-Graph Paths as Intermediate Supervision for Self-Evolving Search Agents

Knowledge-graph paths provide intermediate supervision for self-evolving search agents, improving question validity via relational context and solver rewards via waypoint coverage, boosting multi-hop QA across benchmarks.

Huyu Wu, Jun Liu, Xiaochi Wei, Yan Gao 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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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 1/5
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