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most citedKlear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization

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cs.CL2023★ 1 cited

MiLe Loss: a New Entropy-Weighed Loss for Mitigating the Bias of Learning Difficulties in Large Language Models

Zhenpeng Su, Xing Wu, Xue Bai +5

Generative language models are usually pretrained on large text corpus via predicting the next token (i.e., sub-word/word/phrase) given the previous ones. Recent works have demonst…