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Aakanksha Naik
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2020 – today
- 2024
- [j2]Kyle Lo, Joseph Chee Chang, Andrew Head, Jonathan Bragg, Amy X. Zhang, Cassidy Trier, Chloe Anastasiades, Tal August, Russell Authur, Danielle Bragg, Erin Bransom, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Yen-Sung Chen, Evie Yu-Yen Cheng, Yvonne Chou, Doug Downey, Rob Evans, Raymond Fok, Fangzhou Hu, Regan Huff, Dongyeop Kang, Tae Soo Kim, Rodney Kinney, Aniket Kittur, Hyeonsu B. Kang, Egor Klevak, Bailey Kuehl, Michael Langan, Matt Latzke, Jaron Lochner, Kelsey MacMillan, Eric Marsh, Tyler Murray, Aakanksha Naik, Ngoc-Uyen Nguyen, Srishti Palani, Soya Park, Caroline Paulic, Napol Rachatasumrit, Smita Rao, Paul Sayre, Zejiang Shen, Pao Siangliulue, Luca Soldaini, Huy Tran, Madeleine van Zuylen, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Marti A. Hearst, Daniel S. Weld:
The Semantic Reader Project. Commun. ACM 67(10): 50-61 (2024) - [c19]Chao-Chun Hsu, Erin Bransom, Jenna Sparks, Bailey Kuehl, Chenhao Tan, David Wadden, Lucy Lu Wang, Aakanksha Naik:
CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support. ACL (Findings) 2024: 118-132 - [c18]Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo:
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. ACL (1) 2024: 15725-15788 - [c17]Dirk Groeneveld, Iz Beltagy, Evan Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi:
OLMo: Accelerating the Science of Language Models. ACL (1) 2024: 15789-15809 - [c16]Hao-Ren Yao
, Luke Breitfeller
Distilling Multi-Scale Knowledge for Event Temporal Relation Extraction. CIKM 2024: 2971-2980 - [c15]Benjamin Newman, Yoonjoo Lee, Aakanksha Naik, Pao Siangliulue, Raymond Fok, Juho Kim, Daniel S. Weld, Joseph Chee Chang, Kyle Lo:
ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models. EMNLP 2024: 9612-9631 - [c14]Maria Antoniak
NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs. FAccT 2024: 1446-1463 - [c13]Monica Munnangi, Sergey Feldman, Byron C. Wallace, Silvio Amir, Tom Hope, Aakanksha Naik:
On-the-fly Definition Augmentation of LLMs for Biomedical NER. NAACL-HLT 2024: 3833-3854 - [c12]Aakanksha Naik, Bailey Kuehl, Erin Bransom, Doug Downey, Tom Hope:
CARE: Extracting Experimental Findings From Clinical Literature. NAACL-HLT (Findings) 2024: 4580-4596 - [i21]Luca Soldaini, Rodney Kinney, Akshita Bhagia
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. CoRR abs/2402.00159 (2024) - [i20]Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia
OLMo: Accelerating the Science of Language Models. CoRR abs/2402.00838 (2024) - [i19]Monica Munnangi, Sergey Feldman, Byron C. Wallace, Silvio Amir, Tom Hope, Aakanksha Naik:
On-the-fly Definition Augmentation of LLMs for Biomedical NER. CoRR abs/2404.00152 (2024) - [i18]David Wadden, Kejian Shi, Jacob Morrison, Aakanksha Naik, Shruti Singh, Nitzan Barzilay, Kyle Lo, Tom Hope, Luca Soldaini, Shannon Zejiang Shen, Doug Downey, Hannaneh Hajishirzi, Arman Cohan:
SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature. CoRR abs/2406.07835 (2024) - [i17]Chao-Chun Hsu, Erin Bransom, Jenna Sparks, Bailey Kuehl, Chenhao Tan, David Wadden, Lucy Lu Wang, Aakanksha Naik:
CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support. CoRR abs/2407.16148 (2024) - [i16]Benjamin Newman, Yoonjoo Lee, Aakanksha Naik, Pao Siangliulue, Raymond Fok, Juho Kim, Daniel S. Weld, Joseph Chee Chang, Kyle Lo:
ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models. CoRR abs/2410.22360 (2024) - 2023
- [c11]Srishti Palani
Relatedly: Scaffolding Literature Reviews with Existing Related Work Sections. CHI 2023: 742:1-742:20 - [c10]Yuze Lou, Bailey Kuehl, Erin Bransom, Sergey Feldman, Aakanksha Naik, Doug Downey:
S2abEL: A Dataset for Entity Linking from Scientific Tables. EMNLP 2023: 3089-3101 - [i15]Srishti Palani, Aakanksha Naik, Doug Downey, Amy X. Zhang, Jonathan Bragg
Relatedly: Scaffolding Literature Reviews with Existing Related Work Sections. CoRR abs/2302.06754 (2023) - [i14]Kyle Lo, Joseph Chee Chang, Andrew Head, Jonathan Bragg
The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces. CoRR abs/2303.14334 (2023) - [i13]Yuze Lou, Bailey Kuehl, Erin Bransom
S2abEL: A Dataset for Entity Linking from Scientific Tables. CoRR abs/2305.00366 (2023) - [i12]Carl Edwards, Aakanksha Naik, Tushar Khot, Martin D. Burke, Heng Ji, Tom Hope:
SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design. CoRR abs/2307.11694 (2023) - [i11]Mihir Parmar, Aakanksha Naik, Himanshu Gupta, Disha Agrawal, Chitta Baral:
LongBoX: Evaluating Transformers on Long-Sequence Clinical Tasks. CoRR abs/2311.09564 (2023) - [i10]Aakanksha Naik, Bailey Kuehl, Erin Bransom
CARE: Extracting Experimental Findings From Clinical Literature. CoRR abs/2311.09736 (2023) - [i9]Maria Antoniak, Aakanksha Naik, Carla S. Alvarado, Lucy Lu Wang, Irene Y. Chen:
Designing Guiding Principles for NLP for Healthcare: A Case Study of Maternal Health. CoRR abs/2312.11803 (2023) - 2022
- [j1]Aakanksha Naik, Jill Lehman, Carolyn P. Rosé
Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding Tasks. Trans. Assoc. Comput. Linguistics 10: 956-980 (2022) - [c9]Aakanksha Naik, Sravanthi Parasa, Sergey Feldman, Lucy Lu Wang
Literature-Augmented Clinical Outcome Prediction. NAACL-HLT (Findings) 2022: 438-453 - [i8]Hao-Ren Yao, Luke Breitfeller, Aakanksha Naik, Chunxiao Zhou, Carolyn P. Rosé
Multi-Scale Contrastive Co-Training for Event Temporal Relation Extraction. CoRR abs/2209.00568 (2022) - 2021
- [c8]Aakanksha Naik, Jill Fain Lehman, Carolyn P. Rosé
Adapting Event Extractors to Medical Data: Bridging the Covariate Shift. EACL 2021: 2963-2975 - [i7]Luke Breitfeller, Aakanksha Naik, Carolyn P. Rosé
STAGE: Tool for Automated Extraction of Semantic Time Cues to Enrich Neural Temporal Ordering Models. CoRR abs/2105.07314 (2021) - [i6]Aakanksha Naik, Jill Lehman, Carolyn P. Rosé
Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding Tasks. CoRR abs/2111.01340 (2021) - [i5]Aakanksha Naik, Sravanthi Parasa, Sergey Feldman, Lucy Lu Wang, Tom Hope:
Literature-Augmented Clinical Outcome Prediction. CoRR abs/2111.08374 (2021) - 2020
- [c7]Aakanksha Naik, Carolyn P. Rosé
Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation. ACL 2020: 7618-7624 - [i4]Aakanksha Naik, Carolyn P. Rosé
Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation. CoRR abs/2005.11355 (2020) - [i3]Aakanksha Naik, Jill Lehman, Carolyn P. Rosé
Adapting Event Extractors to Medical Data: Bridging the Covariate Shift. CoRR abs/2008.09266 (2020)
2010 – 2019
- 2019
- [c6]Aakanksha Naik, Abhilasha Ravichander, Carolyn P. Rosé
Exploring Numeracy in Word Embeddings. ACL (1) 2019: 3374-3380 - [c5]Abhilasha Ravichander, Aakanksha Naik, Carolyn P. Rosé
EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference. CoNLL 2019: 349-361 - [c4]Aakanksha Naik, Luke Breitfeller, Carolyn P. Rosé
TDDiscourse: A Dataset for Discourse-Level Temporal Ordering of Events. SIGdial 2019: 239-249 - [i2]Abhilasha Ravichander, Aakanksha Naik, Carolyn P. Rosé
EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference. CoRR abs/1901.03735 (2019) - 2018
- [c3]Aakanksha Naik, Abhilasha Ravichander, Norman M. Sadeh, Carolyn P. Rosé, Graham Neubig:
Stress Test Evaluation for Natural Language Inference. COLING 2018: 2340-2353 - [i1]Aakanksha Naik, Abhilasha Ravichander, Norman M. Sadeh, Carolyn P. Rosé
Stress Test Evaluation for Natural Language Inference. CoRR abs/1806.00692 (2018) - 2017
- [c2]Khyathi Raghavi Chandu, Aakanksha Naik, Aditya Chandrasekar, Zi Yang, Niloy Gupta, Eric Nyberg:
Tackling Biomedical Text Summarization: OAQA at BioASQ 5B. BioNLP 2017: 58-66 - [c1]Aakanksha Naik, Christopher Bogart, Carolyn P. Rosé
Extracting Personal Medical Events for User Timeline Construction using Minimal Supervision. BioNLP 2017: 356-364
Coauthor Index
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last updated on 2024-12-04 21:09 CET by the dblp team
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