MoNTA: Accelerating Mixture-of-Experts Training with Network-Traffc-Aware Parallel Optimizationby Jingming Guo, Yan Liu, Yu Meng, Zhiwei…
Token-level Proximal Policy Optimization for Query Generationby Yichen Ouyang, Lu Wang, Fangkai Yang, Pu Zhao,…
Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matchingby Etrit Haxholli, Yeti Z.…
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximationby Tian Xu, Zhilong Zhang,…
Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation predictionby Yanshuo Chen, Zhengmian…
MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibrationby David Anugraha, Garry Kuwanto, Lucky…
Black-Box Forgettingby Yusuke Kuwana, Yuta Goto, Takashi Shibata, Go IrieFirst submitted to arxiv on: 1…
Diffusion Models as Network Optimizers: Explorations and Analysisby Ruihuai Liang, Bo Yang, Pengyu Chen, Xianjin…
Hierarchical Preference Optimization: Learning to achieve goals via feasible subgoals predictionby Utsav Singh, Souradip Chakraborty,…
Communication Learning in Multi-Agent Systems from Graph Modeling Perspectiveby Shengchao Hu, Li Shen, Ya Zhang,…