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Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining
Efficient data selection is crucial to accelerate the pretraining of large language models
(LLMs). While various methods have been proposed to enhance data efficiency, limited …
(LLMs). While various methods have been proposed to enhance data efficiency, limited …
Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
Y Cui, P He, J Zeng, H Liu, X Tang, Z Dai, Y Han… - arxiv preprint arxiv …, 2025 - arxiv.org
Chain-of-Thought (CoT) reasoning, which breaks down complex tasks into intermediate
reasoning steps, has significantly enhanced the performance of large language models …
reasoning steps, has significantly enhanced the performance of large language models …