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cs.CL2026
Predictable Scaling Laws of Optimal Hyperparameters for LLM Continued Pre-training
Yongwei Zhou, Juncheng Diao, Junlin Shang +2
The efficacy of continued pre-training for Large Language Models (LLMs) hinges upon hyperparameter configurations, such as learning rate and batch size. However, current practices…
cs.CL2026
Faithful-MR1: Faithful Multimodal Reasoning via Anchoring and Reinforcing Visual Attention
Changyuan Tian, Zhicong Lu, Huaxing Liu +7
Reinforcement learning with verifiable rewards (RLVR) has emerged as a promising paradigm for advancing complex reasoning in large language models, and recent work extends RLVR to…