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Showing papers from Institute for AI Industry Research (AIR), Tsinghua University Show all papers

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NeurIPS 2026TsinghuaTsinghua University, TsinghuaInstitute for AI Industry ResearInstruction tuning

Co-evolution: A "One-to-many" LLM Fine-Tuning Paradigm

Dapeng Jiang, Haichuan Tan, Wenxuan Song, Dianqiao Lei 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 2026TsinghuaShanghai AI LaboratoryInstitute for AI Industry ResearInstitute for AI Industry ResearCode generation

Learning to Commit: Next-Commit Prediction via Online Supervised Contrastive Reflection

Mo Li, Qitai Tan, Kai Chen, Ting Cao and 1 more

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

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NeurIPS 2026Beijing JiaotongU Electronic Science and TechnolInstitute for AI Industry ResearHorizon RoboticsCarizonDeep RL

Higher-Order Action Supervision Makes A Strong Policy Class

Peng Cheng, Yunxian Hou, Zhi Zhou, Qian Zhang and 2 more

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

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57%Worth a look
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NeurIPS 2026TsinghuaAnew TherapeuticsTsinghua University, TsinghuaInstitute for AI Industry ResearMolecules & drug discovery

CPSea2: Composing Terminal Geometries for Structurally Diverse Cyclic Peptide Binder Design

Ziyi Yang, Yinjun Jia, Guiyu Deng, Jiqing Zheng and 5 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
lenient 1/5
medium 0/10
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80%Must read
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NeurIPS 2026TsinghuaBeijing JiaotongCity University of Hong KongBerkeley AI ResearchU California BerkeleyVideo generation

ODEWorld: A Continuous Predictive Architecture via Physical-Time Flow

ODEWorld learns continuous latent velocity fields via ODEs to enable arbitrary-resolution world modeling, solving representation collapse and excelling at video generation and robotic control.

Dongxiu Liu, Haoyi Niu, Peng Cheng, Yuan Gao and 4 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 14 on Hugging Face · Code ★ 62

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
72%Highly rated
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NeurIPS 2026SichuanU the Chinese Academy of SciencePeking, Chinese Academy of SciencesInstitute for AI Industry ResearMaterials & chemistry

AtomWorld-Mem: Memory-Restored World States for Long-Horizon Atomistic Evolution

AtomWorld-Mem restores latent hidden dynamical states from atomistic snapshots via multi-scale memory to improve long-horizon kinetic Monte Carlo evolution and transfer across unseen alloys.

Tian Luo, Ruge Zhang, Haozhi Han, Yifeng Chen and 4 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: 8 of 20 reviewers recommend it
lenient 3/5
medium 5/10
strict 0/5
86%Must read
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NeurIPS 2026TsinghuaInstitute for AI Industry ResearTsinghua University, TsinghuaGenomics & single-cell

CellMSA: Context Modeling for Single-Cell Representation Learning

CellMSA improves single-cell representation learning by modeling cross-batch and cross-cell-type context via MSA-inspired gene-pair representations, outperforming existing methods across benchmarks.

Suyuan Zhao, Minghao Liu, Yizhen Luo, Zaiqing Nie

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

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5
86%Must read
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NeurIPS 2026Institute for AI Industry ResearTsinghuaInstitute for AI Industry ResearTsinghua University, TsinghuaProteins

Structure-aware Reinforcement Learning for Protein Directed Evolution

StructEvo uses structure-aware reinforcement learning with delta-structure fusion and hierarchical actions to outperform state-of-the-art protein directed evolution methods by up to 16.3%.

Zikun Nie, Suyuan Zhao, Yizhen Luo, Siqi Fan 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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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 0/5