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Adina Williams

Active 2017–2026

94
Papers
19,587
Citations
30
h-index
51
i10-index

Citations

Citations per year for Adina Williams2005: 1 citations2007: 1 citations2008: 1 citations2010: 4 citations2011: 2 citations2012: 3 citations2013: 4 citations2014: 6 citations2015: 5 citations2016: 5 citations2017: 20 citations2018: 66 citations2019: 120 citations2020: 316 citations2021: 415 citations2022: 495 citations2023: 1,517 citations2024: 6,731 citations2025: 6,763 citations2026: 2,104 citations2027: 1 citations2006: no citations, so this year is not shown2009: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,487 citing papers, 25.7% of this breakdownChina: 2,035 citing papers, 21% of this breakdownUnited Kingdom: 636 citing papers, 6.6% of this breakdownGermany: 419 citing papers, 4.3% of this breakdownCanada: 376 citing papers, 3.9% of this breakdownHong Kong: 352 citing papers, 3.6% of this breakdownSingapore: 282 citing papers, 2.9% of this breakdownSouth Korea: 252 citing papers, 2.6% of this breakdownFrance: 215 citing papers, 2.2% of this breakdownJapan: 215 citing papers, 2.2% of this breakdownIndia: 204 citing papers, 2.1% of this breakdownAustralia: 196 citing papers, 2% of this breakdown
0%25.7%Other 20.9%

Institutions

Fields

  • Computer Science78.6%
  • Social Sciences4.4%
  • Engineering4.1%
  • Medicine2.5%
  • Decision Sciences2%
  • Psychology1.9%
  • Other6.5%

Topics

  • Topic Modeling16.2%
  • Natural Language Processing Techniques11.8%
  • Multimodal Machine Learning Applications5.5%
  • Adversarial Robustness in Machine Learning2.1%
  • Domain Adaptation and Few-Shot Learning2%
  • Explainable Artificial Intelligence (XAI)1.8%
  • Other60.6%

Coauthors

All papers

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  1. Llama 2: Open Foundation and Fine-Tuned Chat Models

    Authors: Hugo Touvron, Louis Martin, Kevin H. Stone, Peter J. Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony S. Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel M. Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew M. Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric M. Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurelien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom - arXiv (Cornell University), CoRR 2023 cited by 14,585

  2. A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

    Authors: Adina Williams, Nikita Nangia, Samuel R. Bowman - Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), NAACL-HLT 2018 cited by 899

  3. XNLI: Evaluating Cross-lingual Sentence Representations

    Authors: Alexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel R. Bowman, Holger Schwenk, Veselin Stoyanov - Conference on Empirical Methods in Natural Language Processing, EMNLP 2018 cited by 934

  4. Adversarial NLI: A New Benchmark for Natural Language Understanding

    Authors: Yixin Nie, Adina Williams, Emily Dinan, Mohit Bansal, Jason Weston, Douwe Kiela - Meeting of the Association for Computational Linguistics, ACL 2020 cited by 609

  5. The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models

    Authors: Hannah Rose Kirk, Alexander Whitefield, Paul Röttger, Andrew Bean, Katerina Margatina, Juan Ciro, Rafael Mosquera, Max Bartolo, Adina Williams, He He, Bertie Vidgen, Scott A. Hale - Advances in Neural Information Processing Systems 37, NeurIPS 2024 cited by 150

  6. Dynabench: Rethinking Benchmarking in NLP

    Authors: Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams - Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021 cited by 193

  7. Introducing v0.5 of the AI Safety Benchmark from MLCommons

    Authors: Bertie Vidgen, Adarsh Agrawal, Ahmed Mohamed Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Bartolo, Max, Borhane Blili-Hamelin, Kurt Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Sujata Goswami, Scott A. Hale, Wiebke Toussaint Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H Kumar, Kumar, Srijan, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor M. Lu, Luger, Sarah, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, E. Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren - arXiv (Cornell University), CoRR 2024 cited by 90

  8. Improving Text-to-Image Consistency via Automatic Prompt Optimization

    Authors: Oscar Mañas, Pietro Astolfi, Melissa Hall, Candace Ross, Jack Urbanek, Adina Williams, Aishwarya Agrawal, Adriana Romero-Soriano, Michal Drozdzal - Trans. Mach. Learn. Res. 2024 cited by 65

  9. "I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset

    Authors: Eric M. Smith, Melissa Hall, Melanie Kambadur, E. Presani, Adina Williams - Conference on Empirical Methods in Natural Language Processing, EMNLP 2022 cited by 74

  10. Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little

    Authors: Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, Douwe Kiela - Conference on Empirical Methods in Natural Language Processing, EMNLP (1) 2021 cited by 186

  11. DataPerf: Benchmarks for Data-Centric AI Development

    Authors: Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W. Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Y. Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi - NeurIPS 2023 cited by 150

  12. Call for Papers - The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus

    Authors: Alex Warstadt, Leshem Choshen, Aaron Mueller, Adina Williams, Ethan Wilcox, Chengxu Zhuang - arXiv (Cornell University), CoRR 2023 cited by 48

  13. Information-Theoretic Probing for Linguistic Structure

    Authors: Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay, Ran Zmigrod, Adina Williams, Ryan Cotterell - Meeting of the Association for Computational Linguistics, ACL 2020 cited by 65

  14. Changing Answer Order Can Decrease MMLU Accuracy

    Authors: Vipul Gupta, David Pantoja, Candace Ross, Adina Williams, Megan Ung - arXiv (Cornell University), CoRR 2024 cited by 33

  15. Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality

    Authors: Tristan Thrush, Ryan Jiang, Max Bartolo, Amanpreet Singh, Adina Williams, Douwe Kiela, Candace Ross - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 cited by 185

  16. IntPhys 2: Benchmarking Intuitive Physics Understanding In Complex Synthetic Environments

    Authors: Florian Bordes, Quentin Garrido, Justine T. Kao, Adina Williams, Michael Rabbat, Emmanuel Dupoux - ArXiv.org, CoRR 2025 cited by 32

  17. Perturbation Augmentation for Fairer NLP

    Authors: Rebecca Qian, Candace Ross, Jude Fernandes, Eric Michael Smith, Douwe Kiela, Adina Williams - Conference on Empirical Methods in Natural Language Processing, EMNLP 2022 cited by 55

  18. [Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus

    Authors: Leshem Choshen, Ryan Cotterell, Michael Y. Hu, Tal Linzen, Aaron Mueller, Candace Ross, Alex Warstadt, Ethan Wilcox, Adina Williams, Chengxu Zhuang - arXiv (Cornell University), CoRR 2024 cited by 31

  19. Proceedings of the 25th Conference on Computational Natural Language Learning

    Authors: Ryan Cotterell, Adina Williams, Micha Elsner, Allyson Ettinger, Dipendra Misra, Samira Shaikh, Andrew Caines, Roi Reichart, Maja Popovi, Rui Wang, Carlos Gmez-Rodrguez, Rob Van Der Groot, Dieuwke Hupkes, Eric Xin, Michael Wang, Gabriel Roth, Tanmoy Stanovsky, Kyle Chakraborty, Gorman We, Pieter Fivez, Jens Lemmens, Arianna Bisazza, Omri Abend, Jennifer Culbertson, Wang, Michael Roth, Gabriel Stanovsky, Tanmoy Chakraborty, Kyle Gorman, Mareike Hartmann, Publicity Chair, Leshem Choshen, Ahmed Abura'ed, Lasha Abzianidze, Omar Agha, eljko Agi, Alan Akbik, Shad Akhtar, Firoj Alam, Chris Alberti, Afra Alishahi, Mark Anderson, Saba Anwar, Reut Apel, Jun Araki, Christoph Aurnhammer, Eleftherios Avramidis, Fan Bai, Miguel Ballesteros, Yonatan Belinkov, Eyal Ben-David, Ryan Benmalek, Robert Berwick, Shohini Bhattasali, Russa Biswas, Hagen Blix, Valts Blukis, Gosse Bouma, Anouck Braggaar, Jonathan Brennan, Harry Bunt, Davide Buscaldi, Jose Camacho-Collados, Ricardo Campos, Spencer Caplan, Fausto Carcassi, Giovanni Cassani, Sheila Castilho, Rui Chaves, Xinchi Chen, Kehai Chen, Hanjie Chen, Emmanuele Chersoni, Grze- Gorz Chrupaa, Stephen Clark, Jacob Collard, Ails Cournane, Francisco Couto, Josep Crego, Raj Dabre, Walter Daelemans, Verna Dankers, Amitava Das, Forrest Davis, Aniello De Santo, Mathieu Dehouck, Shrey Desai, Maunendra Sankar Desarkar, Nina Dethlefs, Maria Pia, Di Buono, Shuoyang Ding, Simon Dobnik, Lucia Donatelli, Rrui Dong, Li Dong, Zi-Yi Dou, Rotem Dror, Andrew Drozdov, Ewan Dunbar and 335 more - 2021 cited by 150

  20. BabyLM Turns 3: Call for papers for the 2025 BabyLM workshop

    Authors: Lucas Charpentier, Leshem Choshen, Ryan Cotterell, Mustafa Omer Gul, Michael Y. Hu, Jaap Jumelet, Tal Linzen, Jing Liu, Aaron Mueller, Candace Ross, Raj Sanjay Shah, Alex Warstadt, Ethan Wilcox, Adina Williams - ArXiv.org, CoRR 2025 cited by 21

  21. Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora

    Authors: Alex Warstadt, Aaron Mueller, Leshem Choshen, Ethan Wilcox, Chengxu Zhuang, Juan Ciro, Rafael Mosquera, Bhargavi Paranjabe, Adina Williams, Tal Linzen, Ryan Cotterell - BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning 2023 cited by 68

  22. Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora

    Authors: Michael Y. Hu, Aaron Mueller, Candace Ross, Adina Williams, Tal Linzen, Chengxu Zhuang, Ryan Cotterell, Leshem Choshen, Alex Warstadt, Ethan Gotlieb Wilcox - arXiv (Cornell University), CoRR 2024 cited by 20

  23. DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity

    Authors: Melissa Hall, Candace Ross, Adina Williams, Nicolas Carion, Michal Drozdzal, Adriana Romero - Trans. Mach. Learn. Res. 2024 cited by 18

  24. Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation

    Authors: Emily Dinan, Angela Fan, Adina Williams, Jack Urbanek, Douwe Kiela, Jason Weston - Conference on Empirical Methods in Natural Language Processing (EMNLP), EMNLP (1) 2020 cited by 43