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Daniel Khashabi
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Self-instruct: Aligning language models with self-generated instructions
Y Wang, Y Kordi, S Mishra, A Liu, NA Smith, D Khashabi, H Hajishirzi
arXiv preprint arXiv:2212.10560, 2022
18572022
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
13132022
UnifiedQA: Crossing Format Boundaries with a Single QA System
D Khashabi, S Min, T Khot, A Sabharwal, O Tafjord, P Clark, H Hajishirzi
EMNLP - Findings, 2020
748*2020
Cross-task generalization via natural language crowdsourcing instructions
S Mishra, D Khashabi, C Baral, H Hajishirzi
ACL, 2022
7062022
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
657*2022
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies
M Geva, D Khashabi, E Segal, T Khot, D Roth, J Berant
TACL, 2021
5722021
Looking beyond the surface: A challenge set for reading comprehension over multiple sentences
D Khashabi, S Chaturvedi, M Roth, S Upadhyay, D Roth
NAACL, 2018
5642018
Evaluating models’ local decision boundaries via contrast sets
M Gardner, Y Artzi, V Basmov, J Berant, B Bogin, S Chen, P Dasigi, D Dua, ...
EMNLP - Findings, 2020
4942020
When not to trust language models: Investigating effectiveness of parametric and non-parametric memories
A Mallen, A Asai, V Zhong, R Das, D Khashabi, H Hajishirzi
arXiv preprint arXiv:2212.10511, 2022
3992022
Reframing Instructional Prompts to GPTk’s Language
S Mishra, D Khashabi, C Baral, Y Choi, H Hajishirzi
ACL - Findings, 2022
2102022
Findings of the 2021 conference on machine translation (WMT21)
F Akhbardeh, A Arkhangorodsky, M Biesialska, O Bojar, R Chatterjee, ...
Proceedings of the sixth conference on machine translation, 1-88, 2021
1962021
"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding
B Zhou, D Khashabi, Q Ning, D Roth
EMNLP, 2019
1962019
Combining retrieval, statistics, and inference to answer elementary science questions.
P Clark, O Etzioni, T Khot, A Sabharwal, O Tafjord, PD Turney, ...
AAAI, 2016
1742016
Neurologic a* esque decoding: Constrained text generation with lookahead heuristics
X Lu, S Welleck, P West, L Jiang, J Kasai, D Khashabi, RL Bras, L Qin, ...
arXiv preprint arXiv:2112.08726, 2021
1622021
UnQovering Stereotypical Biases via Underspecified Questions
T Li, T Khot, D Khashabi, A Sabharwal, V Srikumar
EMNLP - Findings, 3475-3489, 2020
142*2020
Cold decoding: Energy-based constrained text generation with langevin dynamics
L Qin, S Welleck, D Khashabi, Y Choi
Advances in Neural Information Processing Systems 35, 9538-9551, 2022
1382022
Seeing things from a different angle: Discovering diverse perspectives about claims
S Chen, D Khashabi, W Yin, C Callison-Burch, D Roth
NAACL, 2019
1352019
Joint demosaicing and denoising via learned nonparametric random fields
D Khashabi, S Nowozin, J Jancsary, AW Fitzgibbon
IEEE Transactions on Image Processing (TIP), 2014
1312014
From ‘F’ to ‘A’ on the NY Regents Science Exams: An Overview of the Aristo Project
P Clark, O Etzioni, T Khot, D Khashabi, B Mishra, K Richardson, ...
AI Magazine 41, 39-53, 2020
1302020
Solving hard coreference problems
H Peng, D Khashabi, D Roth
NAACL, 2015
119*2015
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Artikler 1–20