NEURIPS 2025 "training efficiency" Papers

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poster (24,624)paper (8,140)oral (1,594)spotlight (1,421)highlight (975)

Angles Don’t Lie: Unlocking Training‑Efficient RL Through the Model’s Own Signals

Qinsi Wang, Jinghan Ke, Hancheng Ye et al.

NEURIPS 2025spotlight

Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents

Han Lin, Jaemin Cho, Amir Zadeh et al.

NEURIPS 2025posterarXiv:2508.05954
6
citations

DataRater: Meta-Learned Dataset Curation

Dan Andrei Calian, Greg Farquhar, Iurii Kemaev et al.

NEURIPS 2025posterarXiv:2505.17895
7
citations

Efficient Representativeness-Aware Coreset Selection

Zihao Cheng, Binrui Wu, Zhiwei Li et al.

NEURIPS 2025poster

Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think

Ge Wu, Shen Zhang, Ruijing Shi et al.

NEURIPS 2025oralarXiv:2507.01467
27
citations

SkyLadder: Better and Faster Pretraining via Context Window Scheduling

Tongyao Zhu, Qian Liu, Haonan Wang et al.

NEURIPS 2025posterarXiv:2503.15450
2
citations

T-SHIRT: Token-Selective Hierarchical Data Selection for Instruction Tuning

Yanjun Fu, Faisal Hamman, Sanghamitra Dutta

NEURIPS 2025posterarXiv:2506.01317
6
citations