Zobrazeno 1 - 10
of 10
pro vyhledávání: '"He, Jacqueline"'
Autor:
Asai, Akari, He, Jacqueline, Shao, Rulin, Shi, Weijia, Singh, Amanpreet, Chang, Joseph Chee, Lo, Kyle, Soldaini, Luca, Feldman, Sergey, D'arcy, Mike, Wadden, David, Latzke, Matt, Tian, Minyang, Ji, Pan, Liu, Shengyan, Tong, Hao, Wu, Bohao, Xiong, Yanyu, Zettlemoyer, Luke, Neubig, Graham, Weld, Dan, Downey, Doug, Yih, Wen-tau, Koh, Pang Wei, Hajishirzi, Hannaneh
Scientific progress depends on researchers' ability to synthesize the growing body of literature. Can large language models (LMs) assist scientists in this task? We introduce OpenScholar, a specialized retrieval-augmented LM that answers scientific q
Externí odkaz:
http://arxiv.org/abs/2411.14199
Autor:
Shao, Rulin, He, Jacqueline, Asai, Akari, Shi, Weijia, Dettmers, Tim, Min, Sewon, Zettlemoyer, Luke, Koh, Pang Wei
Scaling laws with respect to the amount of training data and the number of parameters allow us to predict the cost-benefit trade-offs of pretraining language models (LMs) in different configurations. In this paper, we consider another dimension of sc
Externí odkaz:
http://arxiv.org/abs/2407.12854
Context-aware neural machine translation involves leveraging information beyond sentence-level context to resolve inter-sentential discourse dependencies and improve document-level translation quality, and has given rise to a number of recent techniq
Externí odkaz:
http://arxiv.org/abs/2305.13751
Pre-trained language models encode undesirable social biases, which are further exacerbated in downstream use. To this end, we propose MABEL (a Method for Attenuating Gender Bias using Entailment Labels), an intermediate pre-training approach for mit
Externí odkaz:
http://arxiv.org/abs/2210.14975
A growing line of work has investigated the development of neural NLP models that can produce rationales--subsets of input that can explain their model predictions. In this paper, we ask whether such rationale models can also provide robustness to ad
Externí odkaz:
http://arxiv.org/abs/2204.11790
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Di Wang1,2, Maharjan, Sushila1, Xiao Kuang1, Zixuan Wang1, Mille, Luis S.1, Ming Tao3, Peng Yu3, Xia Cao1, Liming Lian1, Li Lv1, Jialu He, Jacqueline1, Guosheng Tang1, Hyunwoo Yuk4, Ozaki, C. Keith3 ckozaki1@bwh.harvard.edu, Xuanhe Zhao4,5 zhaox@mit.edu, Yu Shrike Zhang1 yszhang@research.bwh.harvard.edu
Publikováno v:
Science Advances. 10/28/2022, Vol. 8 Issue 43, p1-17. 17p.
Autor:
Maharjan S; Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, USA., He JJ; Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, USA., Lv L; Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, USA., Wang D; Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, USA., Zhang YS; Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, USA. yszhang@research.bwh.harvard.edu.
Publikováno v:
Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2022; Vol. 2375, pp. 61-75.