Deriving Scaling Laws for OpenEuroLLM Models: Learning Rate, Batch Size and Loss
arXiv:2608.28308v2 Announce Type: replace-cross Abstract: We study the scaling behavior of learning rate and batch size in pretraining dense large…
RailGen: Improving Railway Intrusion Detection via Agent-Guided Small-Scale Foreign Object Generation
arXiv:2608.30727v1 Announce Type: cross Abstract: Small-object detection under long-tailed data distributions is a fundamental yet challenging problem in multimedia. Railway…
A Survey on Rubric-Guided Reinforcement Learning for Language Models
arXiv:2608.27505v2 Announce Type: replace-cross Abstract: Reinforcement learning from human feedback (RLHF) has become the dominant paradigm for aligning large language…