Nikita Nangia
17 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (5) π Cross-Pollinator (9)
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Academic Marathon
(7)
πΊοΈ
Taxonomy Completionist
(41)
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Renaissance Researcher
(6)
π₯
Mega-Team
(54)
π§¬
Topic Evolution
π
Keyword Champion
π₯
Unstoppable
(6)
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Century Club
(17)
β
The Questioner
(5)
ποΈ
Keyword Collector
(84)
Conferences
ACL (8)
NAACL (4)
EMNLP (3)
IJCNLP (1)
NIPS (1)
Top co-authors
Keywords
question answering
(6)
data collection
(4)
natural language inference
(4)
benchmark evaluation
(3)
natural language understanding
(3)
reading comprehension
(3)
language understanding
(2)
stereotype detection
(2)
text classification
(2)
bias evaluation
(2)
social bia
(2)
linguistic structure
(2)
data quality
(2)
natural language processing
(2)
multiple choice
(2)
data collection protocol
(2)
semantic representation
(1)
explanation generation
(1)
document understanding
(1)
machine translation
(1)
Papers
SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models
NAACL 2025
Common Law Annotations: Investigating the Stability of Dialog System Output Annotations
ACL 2023
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey
ACL 2023
QuALITY: Question Answering with Long Input Texts, Yes!
NAACL 2022
What Makes Reading Comprehension Questions Difficult?
ACL 2022
BBQ: A hand-built bias benchmark for question answering
ACL 2022
Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions
ACL 2022
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?
ACL 2021
Crowdsourcing Beyond Annotation: Case Studies in Benchmark Data Collection
EMNLP 2021
Does Putting a Linguist in the Loop Improve NLU Data Collection?
EMNLP 2021
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?
IJCNLP 2021
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models
EMNLP 2020
Human vs. Muppet: A Conservative Estimate of Human Performance on the GLUE Benchmark
ACL 2019
Latent Structure Models for Natural Language Processing
ACL 2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
NIPS 2019
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
NAACL 2018
ListOps: A Diagnostic Dataset for Latent Tree Learning
NAACL 2018