Author

Yufei Kuang

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2025

Dynamic Configuration for Cutting Plane Separators via Reinforcement Learning on Incremental Graph

Evaluated on synthetic and large-scale real-world MILP problems, DynSep speeds up average solving time by 64% on easy and medium datasets, and reduces primal-dual gap integral within the given time limit by 16% on hard datasets.

Mingxuan Ye, Jie Wang, Fangzhou Zhu et al. · Neural Information Processin... · 0 citations

Preprint Jul 2026

Hidden Decoding at Scale: Latent Computation Scaling for Large Language Models

Scaling Large Language Models (LLMs) has been driven mainly by enlarging the Transformer backbone, but for an already-strong model this requires another round of costly pretraining. We study whether an existing backbone can keep improving by allocating more computation to each token while leaving the Transformer backbo...

Aiwei Liu, Cheng Shi, Chuhan Wu et al. · 2 citations