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2020 – today
- 2023
[i16]Vlad Niculae, Caio F. Corro, Nikita Nangia, Tsvetomila Mihaylova, André F. T. Martins:
Discrete Latent Structure in Neural Networks. CoRR abs/2301.07473 (2023)- 2022
- [c12]Alicia Parrish, Angelica Chen, Nikita Nangia, Vishakh Padmakumar, Jason Phang, Jana Thompson, Phu Mon Htut, Samuel R. Bowman:
BBQ: A hand-built bias benchmark for question answering. ACL (Findings) 2022: 2086-2105 - [c11]Saku Sugawara, Nikita Nangia, Alex Warstadt, Samuel R. Bowman:
What Makes Reading Comprehension Questions Difficult? ACL (1) 2022: 6951-6971 - [c10]Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, Nikita Nangia, Jason Phang, Angelica Chen, Vishakh Padmakumar, Johnny Ma, Jana Thompson, He He, Samuel R. Bowman:
QuALITY: Question Answering with Long Input Texts, Yes! NAACL-HLT 2022: 5336-5358 - [i15]Saku Sugawara, Nikita Nangia, Alex Warstadt, Samuel R. Bowman:
What Makes Reading Comprehension Questions Difficult? CoRR abs/2203.06342 (2022) - [i14]Alicia Parrish, Harsh Trivedi, Ethan Perez, Angelica Chen, Nikita Nangia, Jason Phang, Samuel R. Bowman:
Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions. CoRR abs/2204.05212 (2022) - [i13]Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman:
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey. CoRR abs/2208.12852 (2022) - [i12]Alicia Parrish, Harsh Trivedi, Nikita Nangia, Vishakh Padmakumar, Jason Phang, Amanpreet Singh Saimbhi, Samuel R. Bowman:
Two-Turn Debate Doesn't Help Humans Answer Hard Reading Comprehension Questions. CoRR abs/2210.10860 (2022) - 2021
- [c9]Nikita Nangia, Saku Sugawara, Harsh Trivedi, Alex Warstadt, Clara Vania, Samuel R. Bowman:
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? ACL/IJCNLP (1) 2021: 1221-1235 - [c8]Alicia Parrish, William Huang, Omar Agha, Soo-Hwan Lee, Nikita Nangia, Alex Warstadt, Karmanya Aggarwal, Emily Allaway, Tal Linzen, Samuel R. Bowman:
Does Putting a Linguist in the Loop Improve NLU Data Collection? EMNLP (Findings) 2021: 4886-4901 - [i11]Alicia Parrish, William Huang, Omar Agha, Soo-Hwan Lee, Nikita Nangia, Alex Warstadt, Karmanya Aggarwal, Emily Allaway, Tal Linzen, Samuel R. Bowman:
Does Putting a Linguist in the Loop Improve NLU Data Collection? CoRR abs/2104.07179 (2021) - [i10]Nikita Nangia, Saku Sugawara, Harsh Trivedi, Alex Warstadt, Clara Vania, Samuel R. Bowman:
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? CoRR abs/2106.00794 (2021) - [i9]Alicia Parrish, Angelica Chen, Nikita Nangia, Vishakh Padmakumar, Jason Phang, Jana Thompson, Phu Mon Htut, Samuel R. Bowman:
BBQ: A Hand-Built Bias Benchmark for Question Answering. CoRR abs/2110.08193 (2021) - [i8]Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, Nikita Nangia, Jason Phang, Angelica Chen, Vishakh Padmakumar, Johnny Ma, Jana Thompson, He He, Samuel R. Bowman:
QuALITY: Question Answering with Long Input Texts, Yes! CoRR abs/2112.08608 (2021) - 2020
- [c7]Nikita Nangia, Clara Vania, Rasika Bhalerao, Samuel R. Bowman:
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models. EMNLP (1) 2020: 1953-1967 - [i7]Nikita Nangia, Clara Vania, Rasika Bhalerao, Samuel R. Bowman:
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models. CoRR abs/2010.00133 (2020)
2010 – 2019
- 2019
- [c6]André F. T. Martins, Tsvetomila Mihaylova, Nikita Nangia, Vlad Niculae:
Latent Structure Models for Natural Language Processing. ACL (4) 2019: 1-5 - [c5]Nikita Nangia, Samuel R. Bowman:
Human vs. Muppet: A Conservative Estimate of Human Performance on the GLUE Benchmark. ACL (1) 2019: 4566-4575 - [c4]Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman:
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems. NeurIPS 2019: 3261-3275 - [i6]Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman:
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems. CoRR abs/1905.00537 (2019) - [i5]Nikita Nangia, Samuel R. Bowman:
Human vs. Muppet: A Conservative Estimate of Human Performance on the GLUE Benchmark. CoRR abs/1905.10425 (2019) - [i4]Lakshay Sharma, Laura Graesser, Nikita Nangia, Utku Evci:
Natural Language Understanding with the Quora Question Pairs Dataset. CoRR abs/1907.01041 (2019) - 2018
- [c3]Nikita Nangia, Samuel R. Bowman:
ListOps: A Diagnostic Dataset for Latent Tree Learning. NAACL-HLT (Student Research Workshop) 2018: 92-99 - [c2]Adina Williams, Nikita Nangia, Samuel R. Bowman:
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference. NAACL-HLT 2018: 1112-1122 - [i3]Nikita Nangia, Samuel R. Bowman:
ListOps: A Diagnostic Dataset for Latent Tree Learning. CoRR abs/1804.06028 (2018) - 2017
- [c1]Nikita Nangia, Adina Williams, Angeliki Lazaridou, Samuel R. Bowman:
The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence Representations. RepEval@EMNLP 2017: 1-10 - [i2]Adina Williams, Nikita Nangia, Samuel R. Bowman:
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference. CoRR abs/1704.05426 (2017) - [i1]Nikita Nangia, Adina Williams, Angeliki Lazaridou, Samuel R. Bowman:
The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence Representations. CoRR abs/1707.08172 (2017)
Coauthor Index
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last updated on 2023-01-20 21:31 CET by the dblp team
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