Chen, Weizhu

Not All Tokens Are What You Need for Pretraining

Lin, Z., Gou, Z., Gong, Y., Liu, X., Shen, Y., Xu, R., Lin, C., Yang, Y., Jiao, J., Duan, N., et al. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingNatural Language Processing Techniques

Cited by 9

Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Ren, L., Liu, Y., Lu, Y., Shen, Y., Liang, C., & Chen, W. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 8

Learning From Mistakes Makes LLM Better Reasoner

An, S., Ma, Z., Lin, Z., Zheng, N., Lou, J.-G., & Chen, W. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 7

ThetaEvolve: Test-time Learning on Open Problems

Wang, Y., Su, S.-R., Zeng, Z., Xu, E., Ren, L., Yang, X., Huang, Z., He, X., Ma, L., Peng, B., et al. (2025) · arXiv

Evolutionary Algorithms and ApplicationsAI-based Problem Solving and Planning

Cited by 0