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Hannaneh Hajishirzi
Hannaneh Hajishirzi
Verified email at cs.washington.edu - Homepage
Title
Cited by
Cited by
Year
Bidirectional Attention Flow for Machine Comprehension
M Seo, A Kembhavi, A Farhadi, H Hajishirzi
ICLR, 2017
23122017
Espnet: Efficient spatial pyramid of dilated convolutions for semantic segmentation
S Mehta, M Rastegari, A Caspi, L Shapiro, H Hajishirzi
Proceedings of the european conference on computer vision (ECCV), 552-568, 2018
8742018
Self-instruct: Aligning language model with self generated instructions
Y Wang, Y Kordi, S Mishra, A Liu, NA Smith, D Khashabi, H Hajishirzi
arXiv preprint arXiv:2212.10560, 2022
7492022
Rethinking the role of demonstrations: What makes in-context learning work?
S Min, X Lyu, A Holtzman, M Artetxe, M Lewis, H Hajishirzi, L Zettlemoyer
arXiv preprint arXiv:2202.12837, 2022
6692022
Multi-task identification of entities, relations, and coreference for scientific knowledge graph construction
Y Luan, L He, M Ostendorf, H Hajishirzi
arXiv preprint arXiv:1808.09602, 2018
6342018
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
6102022
Unifiedqa: Crossing format boundaries with a single qa system
D Khashabi, S Min, T Khot, A Sabharwal, O Tafjord, P Clark, H Hajishirzi
arXiv preprint arXiv:2005.00700, 2020
579*2020
Entity, relation, and event extraction with contextualized span representations
D Wadden, U Wennberg, Y Luan, H Hajishirzi
arXiv preprint arXiv:1909.03546, 2019
5792019
Fine-tuning pretrained language models: Weight initializations, data orders, and early stopping
J Dodge, G Ilharco, R Schwartz, A Farhadi, H Hajishirzi, N Smith
arXiv preprint arXiv:2002.06305, 2020
5152020
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
S Mehta, M Rastegari, L Shapiro, H Hajishirzi
arXiv preprint arXiv:1811.11431, 2018
4842018
Evaluating models' local decision boundaries via contrast sets
M Gardner, Y Artzi, V Basmova, J Berant, B Bogin, S Chen, P Dasigi, ...
arXiv preprint arXiv:2004.02709, 2020
4142020
Cross-task generalization via natural language crowdsourcing instructions
S Mishra, D Khashabi, C Baral, H Hajishirzi
arXiv preprint arXiv:2104.08773, 2021
4052021
Robust fine-tuning of zero-shot models
M Wortsman, G Ilharco, JW Kim, M Li, S Kornblith, R Roelofs, RG Lopes, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
3622022
A General Framework for Information Extraction using Dynamic Span Graphs
Y Luan, D Wadden, L He, A Shah, M Ostendorf, H Hajishirzi
3462019
Super-naturalinstructions: Generalization via declarative instructions on 1600+ nlp tasks
Y Wang, S Mishra, P Alipoormolabashi, Y Kordi, A Mirzaei, A Arunkumar, ...
arXiv preprint arXiv:2204.07705, 2022
339*2022
Text generation from knowledge graphs with graph transformers
R Koncel-Kedziorski, D Bekal, Y Luan, M Lapata, H Hajishirzi
arXiv preprint arXiv:1904.02342, 2019
3392019
Learning to solve arithmetic word problems with verb categorization
MJ Hosseini, H Hajishirzi, O Etzioni, N Kushman
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
3332014
Fact or fiction: Verifying scientific claims
D Wadden, S Lin, K Lo, LL Wang, M van Zuylen, A Cohan, H Hajishirzi
arXiv preprint arXiv:2004.14974, 2020
3132020
Dataset cartography: Mapping and diagnosing datasets with training dynamics
S Swayamdipta, R Schwartz, N Lourie, Y Wang, H Hajishirzi, NA Smith, ...
arXiv preprint arXiv:2009.10795, 2020
3012020
Learning to retrieve reasoning paths over wikipedia graph for question answering
A Asai, K Hashimoto, H Hajishirzi, R Socher, C Xiong
arXiv preprint arXiv:1911.10470, 2019
2872019
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