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Showing papers from Lenovo Group Limited Show all papers

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NeurIPS 2026Lenovo ResearchJiangnanLenovo Group LimitedTianjinTsinghua University, TsinghuaLLM agents & planning

Lemon: Evidence-Risk-Aware Adaptive Organization for Long-Horizon LLM Agents

Zimo Yin, Haipeng Jiang, Kailong Ren, Zhetao Sun and 7 more

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

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NeurIPS 2026LenovoLenovo Group LimitedLenovo ResearchEfficient attention & state-space models

Bridging the Gap: Position-Independent Cache Reuse for Hybrid SSM-Attention Architectures

Weikang Wang, Xin Zhou, Haiyang Liu, Lei Wang and 2 more

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

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NeurIPS 2026FudanShandongLenovo Group LimitedTechnical University of MunichEast China Normal3D vision & reconstruction

Spherical Bayesian Experimental Design for Active View Selection in 3D Gaussian Splatting

Yan Song, Yunfei Guo, Guyeli Yang, Li He and 9 more

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

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AI panel: 1 of 20 reviewers recommend it
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57%Worth a look
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NeurIPS 2026HarvardAIGCodeLenovo Group LimitedU Michigan - Ann ArborStanfordCode generation

Phase-wise MLLM Tuning for Multi-framework WebUI Code Generation

Haoran Ma, Linxiao Li, Chenyue Wang, Haochen Sui 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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AI panel: 1 of 20 reviewers recommend it
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57%Worth a look
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NeurIPS 2026AIGCodeHarvardLenovo Group LimitedTsinghuaU Michigan - Ann ArborCode generation

Toward Executable Multi-framework Front-end Code Generation with Self-Correction

Linxiao Li, Haoran Ma, Chenyue Wang, Jiaye Lin and 2 more

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

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NeurIPS 2026LenovolenovoLenovo Group LimitedLenovo ResearchLong-context modeling

CHARM+: Cross-Hardware Attention with Re-Merge Multistream Mechanism

Xinhang Zhang, boning zhang, Chengchun Liu, Chunpu Li 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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AI panel: 0 of 20 reviewers recommend it
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