Aakanksha Naik
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
9
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Language Models Don't Know What You Want: Evaluating Personalization in Deep Research Needs Real Users. | Nishant Balepur, Malachi Hamada, Varsha Kishore, Sergey Feldman, Amanpreet Singh, Pao Siangliulue, Joseph Chee Chang, Eunsol Choi, Jordan Lee Boyd-Graber, Aakanksha Naik |
| 2025 | ACL | Ai2 Scholar QA: Organized Literature Synthesis with Attribution. | Amanpreet Singh, Joseph Chee Chang, Dany Haddad, Aakanksha Naik, Jena D. Hwang, Rodney Kinney, Daniel S. Weld, Doug Downey, Sergey Feldman |
| 2025 | EMNLP | Intent-aware Schema Generation and Refinement for Literature Review Tables. | Vishakh Padmakumar, Joseph Chee Chang, Kyle Lo, Doug Downey, Aakanksha Naik |
| 2025 | EMNLP | SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature. | David Wadden, Kejian Shi, Jacob Morrison, Alan Li, Aakanksha Naik, Shruti Singh, Nitzan Barzilay, Kyle Lo, Tom Hope, Luca Soldaini, Shannon Zejiang Shen, Doug Downey, Hannaneh Hajishirzi, Arman Cohan |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | CIKM | Distilling Multi-Scale Knowledge for Event Temporal Relation Extraction. | Hao-Ren Yao, Luke Breitfeller, Aakanksha Naik, Chunxiao Zhou, Carolyn P. Ros |
| 2024 | EMNLP | 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 |
| 2024 | NAACL | On-the-fly Definition Augmentation of LLMs for Biomedical NER. | Monica Munnangi, Sergey Feldman, Byron C. Wallace, Silvio Amir, Tom Hope, Aakanksha Naik |
| 2024 | NAACL | CARE: Extracting Experimental Findings From Clinical Literature. | Aakanksha Naik, Bailey Kuehl, Erin Bransom, Doug Downey, Tom Hope |
| 2023 | CHI | Relatedly: Scaffolding Literature Reviews with Existing Related Work Sections. | Srishti Palani, Aakanksha Naik, Doug Downey, Amy X. Zhang, Jonathan Bragg, Joseph Chee Chang |
| 2023 | EMNLP | S2abEL: A Dataset for Entity Linking from Scientific Tables. | Yuze Lou, Bailey Kuehl, Erin Bransom, Sergey Feldman, Aakanksha Naik, Doug Downey |
| 2022 | NAACL | Literature-Augmented Clinical Outcome Prediction. | Aakanksha Naik, Sravanthi Parasa, Sergey Feldman, Lucy Lu Wang, Tom Hope |
| 2021 | EACL | Adapting Event Extractors to Medical Data: Bridging the Covariate Shift. | Aakanksha Naik, Jill Fain Lehman, Carolyn P. Ros |
| 2020 | ACL | Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation. | Aakanksha Naik, Carolyn P. Ros |
| 2019 | ACL | Exploring Numeracy in Word Embeddings. | Aakanksha Naik, Abhilasha Ravichander, Carolyn P. Ros, Eduard H. Hovy |
| 2019 | CoNLL | EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference. | Abhilasha Ravichander, Aakanksha Naik, Carolyn P. Ros, Eduard H. Hovy |
| 2019 | SIGdial | TDDiscourse: A Dataset for Discourse-Level Temporal Ordering of Events. | Aakanksha Naik, Luke Breitfeller, Carolyn P. Ros |
| 2018 | COLING | Stress Test Evaluation for Natural Language Inference. | Aakanksha Naik, Abhilasha Ravichander, Norman M. Sadeh, Carolyn P. Ros, Graham Neubig |