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Showing papers from NEC Labs America Show all papers

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NeurIPS 2026Simon FraserBeijing ForestryNECNEC Labs AmericaNEC Laboratories, AmericaVideo generation

HorizonComposer: Spatiotemporally Consistent Driving Video Editing with Enriched Traffic Semantics

Mauricio Soroco, Yuqiu Liu, Zaid Tasneem, Francesco Pittaluga and 4 more

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

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lenient 2/5
medium 0/10
strict 0/5
45%Niche pick
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NeurIPS 2026PurdueNEC Labs AmericaData curation

Guiding Data Allocation for Robust Subpopulation Generalization

Zhaoying Pan, Yipei Wang, Shenyu Lu, Xiaoqian Wang

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

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AI panel: 0 of 20 reviewers recommend it
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medium 0/10
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45%Niche pick
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NeurIPS 2026Rutgers universityNorthwestern University, NorthweTechnische Universität DarmstadtNorthwesternRutgersLLM pretraining & scaling laws

Harder the Task, Sparser the Representation: Sparsity as a Learning Signature of Capability in LLMs

Mingyu Jin, Yutong Yin, Jingcheng Niu, Qingcheng Zeng and 7 more

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

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57%Worth a look
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NeurIPS 2026BaylorNEC-LabsMetaNEC Labs AmericaNEC Laboratories AmericaLLM agents & planning

HierFlow: Hierarchical Coupled Dual-Space Search for Automatic Agentic Workflow Generation

Dong Li, Yanchi Liu, Xujiang Zhao, Wei Cheng and 5 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 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
76%Highly rated
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NeurIPS 2026U Southern CaliforniaNEC Labs AmericaClinical NLP & EHR

Causal Survival Forests with Negative Controls

NC-CSF integrates negative controls with causal survival forests to estimate heterogeneous treatment effects in survival studies with unmeasured confounding, reducing bias and error versus baselines.

Zijun Gao, Kyoungeui Hong, Leyi Ma, Qianli Wu and 2 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 1/5