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NeurIPS 2026U California Santa BarbaraIndian Institute of Technology, U California, San DiegoLambda, IncLambdaControllable generation

OverLay++: Dense-Overlap Layout-to-Image Generation Dataset

Shivansh Aggarwal, Shresth Grover, Divyansh Srivastava, Haiyang Xu 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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AI panel: 0 of 20 reviewers recommend it
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medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026Texas A&MTexas A&MLambda, IncLambdaRepresentation & contrastive learning

Spin-Weighted Spherical Harmonics Enable Complete and Scalable E(3)-Equivariant Networks

Chenxing Liang, Yuchao Lin, Andrii Kryvenko, Wendi Yu and 4 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
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NeurIPS 2026Johns HopkinsU VirginiaLambdaJHUSchool of Data Science, UniversiVision-language models

Lost on Campus: Evaluating Embodied Spatial Reasoning of Vision-Language Models in the Wild

Zehan Zheng, Yanyuan Chen, Deming Li, Yutao Tang and 4 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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2/20 AI panelreviewers recommend it

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026EPFLUniversitat Politècnica de CatalEPFL: Ecole Polytechnique FederaTokyo University, Tokyo InstitutEPFL - EPF LausanneUnified multimodal models

Bridging 1D, 2D, and 3D with Any-to-Any Multimodal Modeling

Jason Toskov, Oriol Barbany, Rishubh Singh, Jinya Sakurai and 9 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: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
80%Must read
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NeurIPS 2026Univeristy of Texas at AustinJohns HopkinsU Pennsylvania, University of PeHong Kong University of Science CASMultimodal reasoning

CausalSpatial: A Benchmark for Object-Centric Causal Spatial Reasoning

CausalSpatial benchmarks object-centric causal spatial reasoning, revealing MLLMs score 54% versus human 84% due to ungrounded textual reasoning, fixed by video-simulation framework COW.

Wenxin (Wendy) Ma, Chenlong Wang, Ruisheng Yuan, Hao Chen and 9 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: 12 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 0/5
78%Highly rated
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NeurIPS 2026Johns HopkinsDepartment of Computer Science, LambdaJHUAgent benchmarks & environments

AgentOdyssey: Open-Ended Long-Horizon Text Game Generation for Test-Time Continual Learning Agents

AgentOdyssey generates open-ended long-horizon text games to evaluate test-time continual learning, finding top agents far below human performance despite scaling with model strength.

Zheyuan Zhang, Zehao Wen, Bowei Zhang, Andrew Wang and 3 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 8 on Hugging Face · Code ★ 55

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 0/5
89%Must read
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NeurIPS 2026Stevens Institute of TechnologyLambdaColumbiaU Texas Health Science Center atStevens Institute of Technology;LLM pretraining & scaling laws

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation

RISE sketches LLM output-layer influence hotspots into compressed dual-channel sketches, reducing storage up to 112x versus gradient methods while scaling to 32B parameters for attribution and data valuation.

yide ran, Jianwen Xie, Minghui Wang, W. Jim Zheng and 3 more

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

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 2/5
88%Must read
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NeurIPS 2026Nanyang Technological UniversityU California, San DiegoLambdaImperial College LondonNanyang TechnologicalPose & motion

AnyHand: A Large-Scale Synthetic Dataset for RGB(-D) Hand Pose Estimation

AnyHand provides 6.6M synthetic RGB-D hand images with occlusions and aligned depth, significantly improving 3D hand pose estimation benchmarks and showing data diversity rivals scale.

Chen Si, Yulin Liu, Bo Ai, Jianwen Xie and 3 more

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

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 2/5