"post-training optimization" Papers

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Advancing Expert Specialization for Better MoE

Hongcan Guo, Haolang Lu, Guoshun Nan et al.

NEURIPS 2025oralarXiv:2505.22323
10
citations

Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch

Xu Cai, Yang Wu, Qianli Chen et al.

NEURIPS 2025arXiv:2510.17858

Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective

Zeyu Gan, Yong Liu

ICLR 2025arXiv:2410.01720
15
citations

Wasserstein Distances, Neuronal Entanglement, and Sparsity

Shashata Sawmya, Linghao Kong, Ilia Markov et al.

ICLR 2025arXiv:2405.15756
5
citations

Flextron: Many-in-One Flexible Large Language Model

Ruisi Cai, Saurav Muralidharan, Greg Heinrich et al.

ICML 2024arXiv:2406.10260
34
citations

VNN: Verification-Friendly Neural Networks with Hard Robustness Guarantees

Anahita Baninajjar, Ahmed Rezine, Amir Aminifar

ICML 2024arXiv:2312.09748
1
citations