| RWKV: Reinventing RNNs for the Transformer Era B Peng, E Alcaide, Q Anthony, A Albalak, S Arcadinho, H Cao, X Cheng, ... EMNLP 2023, 2023 | 369 | 2023 |
| Logic-lm: Empowering large language models with symbolic solvers for faithful logical reasoning L Pan, A Albalak, X Wang, WY Wang EMNLP 2023, 2023 | 160 | 2023 |
| A survey on data selection for language models A Albalak, Y Elazar, SM Xie, S Longpre, N Lambert, X Wang, ... arXiv preprint arXiv:2402.16827, 2024 | 62 | 2024 |
| Jiaming Kong, Bartlomiej Koptyra, Hayden Lau, Krishna Sri Ipsit Mantri, Ferdinand Mom, Atsushi Saito, Xiangru Tang, Bolun Wang, Johan S B Peng, E Alcaide, Q Anthony, A Albalak, S Arcadinho, H Cao, X Cheng, ... Wind, Stansilaw Wozniak, Ruichong Zhang, Zhenyuan Zhang, Qihang Zhao, Peng …, 2023 | 47 | 2023 |
| NeuPSL: Neural Probabilistic Soft Logic C Pryor, C Dickens, E Augustine, A Albalak, W Wang, L Getoor IJCAI 2023, 2023 | 39 | 2023 |
| Eagle and finch: Rwkv with matrix-valued states and dynamic recurrence B Peng, D Goldstein, Q Anthony, A Albalak, E Alcaide, S Biderman, ... arXiv preprint arXiv:2404.05892, 2024 | 24 | 2024 |
| Jiaming Kong, Bartlomiej Koptyra, Hayden Lau, Krishna Sri Ipsit Mantri, Ferdinand Mom, Atsushi Saito, Guangyu Song, Xiangru Tang, Bolun Wang, Johan S B Peng, E Alcaide, Q Anthony, A Albalak, S Arcadinho, S Biderman, ... Wind, Stanislaw Wozniak, Ruichong Zhang, Zhenyuan Zhang, Qihang Zhao, Peng …, 2023 | 21 | 2023 |
| Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G J Li, A Fang, G Smyrnis, M Ivgi, M Jordan, S Gadre, H Bansal, E Guha, ... Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, and Vaishaal Shankar …, 2024 | 20 | 2024 |
| DataComp-LM: In search of the next generation of training sets for language models J Li, A Fang, G Smyrnis, M Ivgi, M Jordan, S Gadre, H Bansal, E Guha, ... arXiv preprint arXiv:2406.11794, 2024 | 18 | 2024 |
| FETA: A benchmark for few-sample task transfer in open-domain dialogue A Albalak, YL Tuan, P Jandaghi, C Pryor, L Yoffe, D Ramachandran, ... EMNLP 2022, 2022 | 17 | 2022 |
| Efficient Online Data Mixing For Language Model Pre-Training A Albalak, L Pan, C Raffel, WY Wang arXiv preprint arXiv:2312.02406, 2023 | 14 | 2023 |
| D-REX: Dialogue Relation Extraction with Explanations A Albalak, V Embar, YL Tuan, L Getoor, WY Wang NLP4ConvAI 2022, 2022 | 14 | 2022 |
| Xingjian Du B Peng, E Alcaide, Q Anthony, A Albalak, S Arcadinho, S Biderman, ... Matteo Grella, Kranthi Gv, Xuzheng He, Haowen Hou, Przemyslaw Kazienko, Jan …, 2023 | 12 | 2023 |
| Generalization vs Memorization: Tracing Language Models' Capabilities Back to Pretraining Data X Wang, A Antoniades, Y Elazar, A Amayuelas, A Albalak, K Zhang, ... arXiv preprint arXiv:2407.14985, 2024 | 8 | 2024 |
| Making something out of nothing: Building robust task-oriented dialogue systems from scratch Z Li, H Wang, A Albalak, Y Yang, J Qian, S Li, X Yan Alexa Prize TaskBot Challenge Proceedings, 2022 | 8 | 2022 |
| Improving few-shot generalization by exploring and exploiting auxiliary data A Albalak, C Raffel, WY Wang NeurIPS 2023, 2023 | 7 | 2023 |
| Systems and methods for determining and using semantic relatedness to classify segments of text R Jain, DH Redmond, RB Sutton, A Albalak, S Hüffner US Patent 11,914,963, 2024 | 6 | 2024 |
| RWKV: Reinventing RNNs for the Transformer Era. arXiv 2023 B Peng, E Alcaide, Q Anthony, A Albalak, S Arcadinho, H Cao, X Cheng, ... arXiv preprint arXiv:2305.13048, 0 | 6 | |
| Generative reward models D Mahan, D Van Phung, R Rafailov, C Blagden, N Lile, L Castricato, ... arXiv preprint arXiv:2410.12832, 2024 | 4 | 2024 |
| The responsible foundation model development cheatsheet: A review of tools & resources S Longpre, S Biderman, A Albalak, H Schoelkopf, D McDuff, S Kapoor, ... arXiv preprint arXiv:2406.16746, 2024 | 4 | 2024 |
William Yang WangMellichamp Chair Professor, University of California, Santa BarbaraBestätigte E-Mail-Adresse bei cs.ucsb.edu
