Albalak, Alon

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

Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning

Pan, L., Albalak, A., Wang, X., & Wang, W. Y. (2023) · arXiv

Logic, Reasoning, and KnowledgeTopic Modeling

Cited by 144

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

A Survey on Data Selection for Language Models

Albalak, A., Elazar, Y., Xie, S. M., Longpre, S., Lambert, N., Wang, X., Muennighoff, N., Hou, B., Pan, L., Jeong, H., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 12

OpenThoughts: Data Recipes for Reasoning Models

Guha, E., Marten, R., Keh, S., Raoof, N., Smyrnis, G., Bansal, H., Nezhurina, M., Mercat, J., Vu, T., Sprague, Z., et al. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 1