Aakanksha Naik

According to our database, Aakanksha Naik authored at least 30 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Semantic Reader Project.

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

Commun. ACM, October, 2024

Exploring Long-Term Prediction of Type 2 Diabetes Microvascular Complications.

Elizabeth Remfry, Rafael Henkin, Michael R. Barnes, Aakanksha Naik

CoRR, 2024

SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature.

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

CoRR, 2024

OLMo: Accelerating the Science of Language Models.

Dirk Groeneveld, Iz Beltagy, 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

CoRR, 2024

CARE: Extracting Experimental Findings From Clinical Literature.

Aakanksha Naik, Bailey Kuehl, Erin Bransom, Doug Downey, Tom Hope

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

On-the-fly Definition Augmentation of LLMs for Biomedical NER.

Monica Munnangi, Sergey Feldman, Byron C. Wallace, Silvio Amir, Tom Hope, Aakanksha Naik

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs.

Maria Antoniak, Aakanksha Naik, Carla S. Alvarado, Lucy Lu Wang, Irene Y. Chen

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models.

Benjamin Newman, Yoonjoo Lee, Aakanksha Naik, Pao Siangliulue, Raymond Fok, Juho Kim, Daniel S. Weld, Joseph Chee Chang, Kyle Lo

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Distilling Multi-Scale Knowledge for Event Temporal Relation Extraction.

Hao-Ren Yao, Luke Breitfeller, Aakanksha Naik, Chunxiao Zhou, Carolyn P. Rosé

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support.

Chao-Chun Hsu, Erin Bransom, Jenna Sparks, Bailey Kuehl, Chenhao Tan, David Wadden, Lucy Lu Wang, Aakanksha Naik

Proceedings of the Findings of the Association for Computational Linguistics, 2024

OLMo: Accelerating the Science of Language Models.

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Designing Guiding Principles for NLP for Healthcare: A Case Study of Maternal Health.

Maria Antoniak, Aakanksha Naik, Carla S. Alvarado, Lucy Lu Wang, Irene Y. Chen

CoRR, 2023

LongBoX: Evaluating Transformers on Long-Sequence Clinical Tasks.

Mihir Parmar, Aakanksha Naik, Himanshu Gupta, Disha Agrawal, Chitta Baral

CoRR, 2023

SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design.

Carl Edwards, Aakanksha Naik, Tushar Khot, Martin D. Burke, Heng Ji, Tom Hope

CoRR, 2023

The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces.

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

CoRR, 2023

S2abEL: A Dataset for Entity Linking from Scientific Tables.

Yuze Lou, Bailey Kuehl, Erin Bransom, Sergey Feldman, Aakanksha Naik, Doug Downey

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Relatedly: Scaffolding Literature Reviews with Existing Related Work Sections.

Srishti Palani, Aakanksha Naik, Doug Downey, Amy X. Zhang, Jonathan Bragg, Joseph Chee Chang

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding Tasks.

Aakanksha Naik, Jill Lehman, Carolyn P. Rosé

Trans. Assoc. Comput. Linguistics, 2022

Multi-Scale Contrastive Co-Training for Event Temporal Relation Extraction.

Hao-Ren Yao, Luke Breitfeller, Aakanksha Naik, Chunxiao Zhou, Carolyn P. Rosé

CoRR, 2022

Literature-Augmented Clinical Outcome Prediction.

Aakanksha Naik, Sravanthi Parasa, Sergey Feldman, Lucy Lu Wang, Tom Hope

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

2021

STAGE: Tool for Automated Extraction of Semantic Time Cues to Enrich Neural Temporal Ordering Models.

Luke Breitfeller, Aakanksha Naik, Carolyn P. Rosé

CoRR, 2021

Adapting Event Extractors to Medical Data: Bridging the Covariate Shift.

Aakanksha Naik, Jill Fain Lehman, Carolyn P. Rosé

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation.

Aakanksha Naik, Carolyn P. Rosé

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

TDDiscourse: A Dataset for Discourse-Level Temporal Ordering of Events.

Aakanksha Naik, Luke Breitfeller, Carolyn P. Rosé

Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, 2019

EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference.

Abhilasha Ravichander, Aakanksha Naik, Carolyn P. Rosé, Eduard H. Hovy

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Exploring Numeracy in Word Embeddings.

Aakanksha Naik, Abhilasha Ravichander, Carolyn P. Rosé, Eduard H. Hovy

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Stress Test Evaluation for Natural Language Inference.

Aakanksha Naik, Abhilasha Ravichander, Norman M. Sadeh, Carolyn P. Rosé, Graham Neubig

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

Extracting Personal Medical Events for User Timeline Construction using Minimal Supervision.

Aakanksha Naik, Christopher Bogart, Carolyn P. Rosé

Proceedings of the BioNLP 2017, Vancouver, Canada, August 4, 2017, 2017

Tackling Biomedical Text Summarization: OAQA at BioASQ 5B.

Khyathi Raghavi Chandu, Aakanksha Naik, Aditya Chandrasekar, Zi Yang, Niloy Gupta, Eric Nyberg

Proceedings of the BioNLP 2017, Vancouver, Canada, August 4, 2017, 2017