Hassid, Michael

Transformers are Multi-State RNNs

Oren, M., Hassid, M., Yarden, N., Adi, Y., & Schwartz, R. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 16

The Larger the Better? Improved LLM Code-Generation via Budget Reallocation

Hassid, M., Remez, T., Gehring, J., Schwartz, R., & Adi, Y. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 6

CWM: An Open-Weights LLM for Research on Code Generation with World Models

FAIR CodeGen team, Copet, J., Carbonneaux, Q., Cohen, G., Gehring, J., Kahn, J., Kossen, J., Kreuk, F., McMilin, E., Meyer, M., et al. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0