Adina Williams

2017–2026 年に発表

94
論文数
19,587
被引用数
30
h 指数
51
i10 指数

被引用数

Adina Williams の年別被引用数2005 年: 被引用 1 件2007 年: 被引用 1 件2008 年: 被引用 1 件2010 年: 被引用 4 件2011 年: 被引用 2 件2012 年: 被引用 3 件2013 年: 被引用 4 件2014 年: 被引用 6 件2015 年: 被引用 5 件2016 年: 被引用 5 件2017 年: 被引用 20 件2018 年: 被引用 66 件2019 年: 被引用 120 件2020 年: 被引用 316 件2021 年: 被引用 415 件2022 年: 被引用 495 件2023 年: 被引用 1,517 件2024 年: 被引用 6,731 件2025 年: 被引用 6,763 件2026 年: 被引用 2,104 件2027 年: 被引用 1 件2006 年は被引用が無いため表示していません2009 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 2,487 件、この内訳の 25.7%中国: 引用元論文 2,035 件、この内訳の 21%イギリス: 引用元論文 636 件、この内訳の 6.6%ドイツ: 引用元論文 419 件、この内訳の 4.3%カナダ: 引用元論文 376 件、この内訳の 3.9%香港: 引用元論文 352 件、この内訳の 3.6%シンガポール: 引用元論文 282 件、この内訳の 2.9%韓国: 引用元論文 252 件、この内訳の 2.6%フランス: 引用元論文 215 件、この内訳の 2.2%日本: 引用元論文 215 件、この内訳の 2.2%インド: 引用元論文 204 件、この内訳の 2.1%オーストラリア: 引用元論文 196 件、この内訳の 2%
0%25.7%その他 20.9%

分野

  • Computer Science78.6%
  • Social Sciences4.4%
  • Engineering4.1%
  • Medicine2.5%
  • Decision Sciences2%
  • Psychology1.9%
  • その他6.5%

トピック

  • 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%
  • その他60.6%

共著者

全論文

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 被引用: 14,585

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

    著者: , , - Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), NAACL-HLT 2018 被引用: 899

  3. XNLI: Evaluating Cross-lingual Sentence Representations

    著者: , , , , , , - Conference on Empirical Methods in Natural Language Processing, EMNLP 2018 被引用: 934

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

    著者: , , , , , - Meeting of the Association for Computational Linguistics, ACL 2020 被引用: 609

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

    著者: , , , , , , , , , , , - Advances in Neural Information Processing Systems 37, NeurIPS 2024 被引用: 150

  6. Dynabench: Rethinking Benchmarking in NLP

    著者: , , , , , , , , , , , , , , , , , , - Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021 被引用: 193

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 被引用: 90

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

    著者: , , , , , , , , - Trans. Mach. Learn. Res. 2024 被引用: 65

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

    著者: , , , , - Conference on Empirical Methods in Natural Language Processing, EMNLP 2022 被引用: 74

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

    著者: , , , , , - Conference on Empirical Methods in Natural Language Processing, EMNLP (1) 2021 被引用: 186

  11. DataPerf: Benchmarks for Data-Centric AI Development

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 被引用: 150

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

    著者: , , , , , - arXiv (Cornell University), CoRR 2023 被引用: 48

  13. Information-Theoretic Probing for Linguistic Structure

    著者: , , , , , - Meeting of the Association for Computational Linguistics, ACL 2020 被引用: 65

  14. Changing Answer Order Can Decrease MMLU Accuracy

    著者: , , , , - arXiv (Cornell University), CoRR 2024 被引用: 33

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

    著者: , , , , , , - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 被引用: 185

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

    著者: , , , , , - ArXiv.org, CoRR 2025 被引用: 32

  17. Perturbation Augmentation for Fairer NLP

    著者: , , , , , - Conference on Empirical Methods in Natural Language Processing, EMNLP 2022 被引用: 55

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

    著者: , , , , , , , , , - arXiv (Cornell University), CoRR 2024 被引用: 31

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 ほか 335 名 - 2021 被引用: 150

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

    著者: , , , , , , , , , , , , , - ArXiv.org, CoRR 2025 被引用: 21

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

    著者: , , , , , , , , , , - 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 被引用: 68

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

    著者: , , , , , , , , , - arXiv (Cornell University), CoRR 2024 被引用: 20

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

    著者: , , , , , - Trans. Mach. Learn. Res. 2024 被引用: 18

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

    著者: , , , , , - Conference on Empirical Methods in Natural Language Processing (EMNLP), EMNLP (1) 2020 被引用: 43