| 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 | 352 | 2018 |
| 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 | 76 | 2019 |
| 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 | 63 | 2019 |
| 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 | 42 | 2020 |
| 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 | 36 | 2019 |
| 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 | 32 | 2024 |
| 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 | 28 | 2024 |
| 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 | 27 | 2021 |
| 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 | 26 | 2017 |
| 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 | 23 | 2023 |
| 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 | 15 | 2023 |
| 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 | 12 | 2021 |
| 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 | 10 | 2019 |
| 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 | 8 | 2023 |
| 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 | 6 | 2023 |
| Synergpt: In-context learning for personalized drug synergy prediction and drug design CN Edwards, A Naik, T Khot, MD Burke, H Ji, T Hope bioRxiv, 2023.07. 06.547759, 2023 | 5 | 2023 |
| Extracting personal medical events for user timeline construction using minimal supervision A Naik, C Bogart, C Rose BioNLP 2017, 356-364, 2017 | 5 | 2017 |
| Stage: tool for automated extraction of semantic time cues to enrich neural temporal ordering models L Breitfeller, A Naik, C Rose arXiv preprint arXiv:2105.07314, 2021 | 4 | 2021 |
| Longbox: Evaluating transformers on long-sequence clinical tasks M Parmar, A Naik, H Gupta, D Agrawal, C Baral arXiv preprint arXiv:2311.09564, 2023 | 3 | 2023 |
| 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 | 3 | 2022 |
Carolyn Penstein RoseLanguage Technologies Institute and Human-Computer Interaction Institute, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
