Big bird: Transformers for longer sequences M Zaheer, G Guruganesh, KA Dubey, J Ainslie, C Alberti, S Ontanon, ... Advances in neural information processing systems 33, 17283-17297, 2020 | 2139 | 2020 |
ETC: Encoding long and structured inputs in transformers J Ainslie, S Ontanon, C Alberti, V Cvicek, Z Fisher, P Pham, A Ravula, ... arXiv preprint arXiv:2004.08483, 2020 | 390 | 2020 |
Learning to extract attribute value from product via question answering: A multi-task approach Q Wang, L Yang, B Kanagal, S Sanghai, D Sivakumar, B Shu, Z Yu, ... Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 88 | 2020 |
Strongly interacting quantum gases in one-dimensional traps L Yang, L Guan, H Pu Physical Review A 91 (4), 043634, 2015 | 78 | 2015 |
Mave: A product dataset for multi-source attribute value extraction L Yang, Q Wang, Z Yu, A Kulkarni, S Sanghai, B Shu, J Elsas, B Kanagal Proceedings of the fifteenth ACM international conference on web search and …, 2022 | 57 | 2022 |
Deep learning-enhanced variational Monte Carlo method for quantum many-body physics L Yang, Z Leng, G Yu, A Patel, WJ Hu, H Pu Physical Review Research 2 (1), 012039, 2020 | 39 | 2020 |
Bose-Fermi mapping and a multibranch spin-chain model for strongly interacting quantum gases in one dimension: Dynamics and collective excitations L Yang, H Pu Physical Review A 94 (3), 033614, 2016 | 31 | 2016 |
MixPAVE: Mix-prompt tuning for few-shot product attribute value extraction L Yang, Q Wang, J Wang, X Quan, F Feng, Y Chen, M Khabsa, S Wang, ... Findings of the Association for Computational Linguistics: ACL 2023, 9978-9991, 2023 | 21 | 2023 |
Scalable variational Monte Carlo with graph neural ansatz L Yang, W Hu, L Li arXiv preprint arXiv:2011.12453, 2020 | 14 | 2020 |
Big bird: Transformers for longer sequences. arxiv e-prints, art M Zaheer, G Guruganesh, A Dubey, J Ainslie, C Alberti, S Ontanon, ... arXiv preprint arXiv:2007.14062, 2020 | 14 | 2020 |
Smartave: Structured multimodal transformer for product attribute value extraction Q Wang, L Yang, J Wang, J Krishnan, B Dai, S Wang, Z Xu, M Khabsa, ... Findings of the Association for Computational Linguistics: EMNLP 2022, 263-276, 2022 | 13 | 2022 |
Dynamical Fermionization in One-Dimensional Spinor Quantum Gases SS Alam, T Skaras, L Yang, H Pu Physical Review Letters 127 (2), 023002, 2021 | 13 | 2021 |
One-body density matrix and momentum distribution of strongly interacting one-dimensional spinor quantum gases L Yang, H Pu Physical Review A 95 (5), 051602, 2017 | 12 | 2017 |
Big bird: Transformers for longer sequences. arXiv 2020 M Zaheer, G Guruganesh, A Dubey, J Ainslie, C Alberti, S Ontanon, ... arXiv preprint arXiv:2007.14062, 2007 | 10 | 2007 |
Learning to generate question by asking question: A primal-dual approach with uncommon word generation Q Wang, L Yang, X Quan, F Feng, D Liu, Z Xu, S Wang, H Ma Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 8 | 2022 |
Predicting relapse in patients with triple negative breast cancer (tnbc) using a deep-learning approach G Yu, X Li, TF He, T Gruosso, D Zuo, M Souleimanova, VM Ramos, ... Frontiers in physiology 11, 511071, 2020 | 8 | 2020 |
Big Bird: Transformers for Longer Sequences, January 2021 M Zaheer, G Guruganesh, A Dubey, J Ainslie, C Alberti, S Ontanon, ... URL http://arxiv. org/abs/2007.14062, 0 | 6 | |
Generalized Bose–Fermi mapping and strong coupling ansatz wavefunction for one dimensional strongly interacting spinor quantum gases L Yang, SS Alam, H Pu Journal of Physics A: Mathematical and Theoretical 55 (46), 464005, 2022 | 4 | 2022 |
Preference elicitation for music recommendations O Meshi, J Feldman, L Yang, B Scheetz, Y Cai, M Bateni, C Salisbury, ... ICML 2023 Workshop The Many Facets of Preference-Based Learning, 2023 | 2 | 2023 |
Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies CW Hsu, M Mladenov, O Meshi, J Pine, H Pham, S Li, X Liang, A Polishko, ... Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 1 | 2024 |