Anthony, Quentin

RWKV: Reinventing RNNs for the Transformer Era

Peng, B., Alcaide, E., Anthony, Q., Albalak, A., Arcadinho, S., Biderman, S., Cao, H., Cheng, X., Chung, M., Derczynski, L., et al. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Topic ModelingNatural Language Processing Techniques

Cited by 390

GPT-NeoX-20B: An Open-Source Autoregressive Language Model

Black, S., Biderman, S., Hallahan, E., Anthony, Q., Gao, L., Golding, L., He, H., Leahy, C., McDonell, K., Phang, J., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 67

RWKV: Reinventing RNNs for the Transformer Era

Peng, B., Alcaide, E., Anthony, Q., Albalak, A., Arcadinho, S., Biderman, S., Cao, H., Cheng, X., Chung, M., Grella, M., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 17

Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence

Peng, B., Goldstein, D., Anthony, Q., Albalak, A., Alcaide, E., Biderman, S., Cheah, E., Du, X., Ferdinan, T., Hou, H., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 13

Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs

O'Brien, K., Casper, S., Anthony, Q., Korbak, T., Kirk, R., Davies, X., Mishra, I., Irving, G., Gal, Y., & Biderman, S. (2025) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 0