Daniel Khashabi

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Dan RothProfessor of Computer Science, University of PennsylvaniaVerified email at seas.upenn.edu
Tushar KhotAllen Institute for AI; University of Wisconsin-MadisonVerified email at allenai.org
Hannaneh HajishirziUniversity of Washington; Allen AIVerified email at cs.washington.edu
Ashish SabharwalAllen Institute for AI (AI2)Verified email at allenai.org
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Swaroop MishraResearch Scientist, Google DeepMindVerified email at google.com
Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Peter ClarkAllen Institute for Artificial Intelligence (AI2)Verified email at allenai.org
Yeganeh KordiBrown UniversityVerified email at brown.edu
Yizhong WangUniversity of WashingtonVerified email at cs.washington.edu
Oyvind TafjordAllen Institute of Artificial Intelligence (AI2)Verified email at allenai.org
Ben ZhouAssistant Professor, Arizona State UniversityVerified email at asu.edu
Kyle RichardsonThe Allen Institute for Artificial IntelligenceVerified email at allenai.org
Chitta BaralProfessor of Computer Science, Arizona State UniversityVerified email at asu.edu
Sean J WelleckAssistant Professor, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Lingfeng ShenBytedanceVerified email at jhu.edu
Ximing LuUniversity of WashingtonVerified email at cs.washington.edu
Benjamin Van DurmeJohns Hopkins University / MicrosoftVerified email at jhu.edu
Oren EtzioniProfessor, University of WashingtonVerified email at cs.uw.edu
Sihao ChenPh.D. student, University of PennsylvaniaVerified email at seas.upenn.edu

Daniel Khashabi

Johns Hopkins University

Verified email at jhu.edu - Homepage

Natural Language Processing Artificial Intelligence Machine Learning


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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	1376	2022
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	999	2022
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	673*	2020
Cross-task generalization via natural language crowdsourcing instructions S Mishra, D Khashabi, C Baral, H Hajishirzi ACL, 2022	585	2022
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	537*	2022
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	523	2018
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	467	2020
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	424	2021
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	241	2022
Reframing Instructional Prompts to GPTk’s Language S Mishra, D Khashabi, C Baral, Y Choi, H Hajishirzi ACL - Findings, 2022	186	2022
"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	181	2019
Findings of the 2021 conference on machine translation (WMT21) A Farhad, A Arkady, B Magdalena, B Ondřej, C Rajen, C Vishrav, ... Proceedings of the Sixth Conference on Machine Translation, 1-88, 2021	175	2021
Combining retrieval, statistics, and inference to answer elementary science questions. P Clark, O Etzioni, T Khot, A Sabharwal, O Tafjord, PD Turney, ... AAAI, 2016	172	2016
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	142	2021
Seeing things from a different angle: Discovering diverse perspectives about claims S Chen, D Khashabi, W Yin, C Callison-Burch, D Roth NAACL, 2019	125	2019
Joint demosaicing and denoising via learned nonparametric random fields D Khashabi, S Nowozin, J Jancsary, AW Fitzgibbon IEEE Transactions on Image Processing (TIP), 2014	125	2014
UnQovering Stereotypical Biases via Underspecified Questions T Li, T Khot, D Khashabi, A Sabharwal, V Srikumar EMNLP - Findings, 3475-3489, 2020	120*	2020
Solving hard coreference problems H Peng, D Khashabi, D Roth NAACL, 2015	118*	2015
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	117	2020
Question answering via integer programming over semi-structured knowledge D Khashabi, T Khot, A Sabharwal, P Clark, O Etzioni, D Roth IJCAI, 2016	115	2016

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