Papers by Binhang Yuan

1 papers
Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration (2025.acl-long)

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Challenge: Efficient data selection is crucial to accelerate the pretraining of language models . limited research has addressed the inherent conflicts between data selection methods .
Approach: They propose a multi-actor collaborative data selection mechanism that prioritizes data based on its specific criterion and updates prioritization rules using the current state of the model.
Outcome: The proposed model accelerates convergence in LM pretraining and achieves an average relative performance gain of 10.5% across multiple language model benchmarks.

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