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Aakanksha Naik
Aakanksha Naik
Allen Institute for Artificial Intelligence
Verified email at allenai.org - Homepage
Title
Cited by
Cited by
Year
Stress test evaluation for natural language inference
A Naik, A Ravichander, N Sadeh, C Rose, G Neubig
Proceedings of the 27th International Conference on Computational Linguistics, 2018
3962018
Olmo: Accelerating the science of language models
D Groeneveld, I Beltagy, P Walsh, A Bhagia, R Kinney, O Tafjord, AH Jha, ...
To appear at ACL 2024, 2024
1062024
Dolma: An Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
L Soldaini, R Kinney, A Bhagia, D Schwenk, D Atkinson, R Authur, ...
To appear at ACL 2024, 2024
992024
EQUATE: A benchmark evaluation framework for quantitative reasoning in natural language inference
A Ravichander, A Naik, C Rose, E Hovy
Proceedings of the 23rd Conference on Computational Natural Language …, 2019
832019
Exploring numeracy in word embeddings
A Naik, A Ravichander, C Rose, E Hovy
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
652019
Towards open domain event trigger identification using adversarial domain adaptation
A Naik, C Rose
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
472020
TDDiscourse: A dataset for discourse-level temporal ordering of events
A Naik, L Breitfeller, C Rose
Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue …, 2019
442019
Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E
L Soldaini, R Kinney, A Bhagia, D Schwenk, D Atkinson, R Authur, ...
Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell …, 2024
392024
Literature-augmented clinical outcome prediction
A Naik, S Parasa, S Feldman, LL Wang, T Hope
Findings of the Association for Computational Linguistics: NAACL 2022, 2021
392021
Relatedly: Scaffolding literature reviews with existing related work sections
S Palani, A Naik, D Downey, AX Zhang, J Bragg, JC Chang
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023
342023
Tackling biomedical text summarization: Oaqa at bioasq 5b
K Chandu, A Naik, A Chandrasekar, Z Yang, N Gupta, E Nyberg
BioNLP 2017, 58-66, 2017
282017
The semantic reader project: Augmenting scholarly documents through ai-powered interactive reading interfaces
K Lo, JC Chang, A Head, J Bragg, AX Zhang, C Trier, C Anastasiades, ...
To appear in the Communications of the Association for Computing Machinery, 2023
192023
FanfictionNLP: A text processing pipeline for fanfiction
MM Yoder, S Khosla, Q Shen, A Naik, H Jin, H Muralidharan, CP Rosé
The 3rd Workshop on Narrative Understanding, 2021
142021
Synergpt: In-context learning for personalized drug synergy prediction and drug design
C Edwards, A Naik, T Khot, M Burke, H Ji, T Hope
arXiv preprint arXiv:2307.11694, 2023
112023
Dolma: An open corpus of 3 trillion tokens for language model pretraining research
L Soldaini, R Kinney, A Bhagia, D Schwenk, D Atkinson, R Authur, ...
Allen Institute for AI, Tech. Rep, 5998-6008, 2023
102023
Using functional schemas to understand social media narratives
X Yan, A Naik, Y Jo, C Rose
Proceedings of the Second Workshop on Storytelling, 22-33, 2019
102019
On-the-fly Definition Augmentation of LLMs for Biomedical NER
M Munnangi, S Feldman, BC Wallace, S Amir, T Hope, A Naik
To appear at NAACL 2024, 2024
92024
Designing Guiding Principles for NLP for Healthcare: A Case Study of Maternal Health
M Antoniak, A Naik, CS Alvarado, LL Wang, IY Chen
To appear at FaccT 2024, 2023
82023
NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs
M Antoniak, A Naik, CS Alvarado, LL Wang, IY Chen
The 2024 ACM Conference on Fairness, Accountability, and Transparency, 1446-1463, 2024
62024
Adapting to the long tail: A meta-analysis of transfer learning research for language understanding tasks
A Naik, J Lehman, C Rosé
Transactions of the Association for Computational Linguistics 10, 956-980, 2022
52022
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Articles 1–20