Papers2

#MoE

Beyond Language Modeling: An Exploration of Multimodal Pretraining

Shengbang Tong, David Fan et al.Mar 3arXiv

The paper trains one model from scratch to both read text and see images/videos, instead of starting from a language-only model.

#multimodal pretraining#representation autoencoder#RAE

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Rethinking the Trust Region in LLM Reinforcement Learning

Intermediate

Penghui Qi, Xiangxin Zhou et al.Feb 4arXiv

The paper shows that the popular PPO method for training language models is unfair to rare words and too gentle with very common words, which makes learning slow and unstable.

#Reinforcement Learning#Proximal Policy Optimization#Trust Region

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