Adina Williams

6.3k citations

32 papers · 971 indexed · 1 hit paper · h-index 11

Artificial Intelligence top 1%
Computer Vision and Pattern Recognition top 5%
Information Systems top 10%
Cognitive Neuroscience
Sociology and Political Science

Co-authors: Alexis Conneau Guillaume Lample Ruty Rinott Veselin Stoyanov Holger Schwenk Samuel Bowman Douwe Kiela Samuel R. Bowman
Topics: Topic Modeling (22 papers)Natural Language Processing Techniques (20 papers)Multimodal Machine Learning Applications (9 papers)
Cited by: Artificial Intelligence Computer Vision and Pattern Recognition Health Informatics
Journals: Science Advances Neuropsychologia Personality and Social Psychology Bulletin
Partner nations: United States Israel Canada

In The Last Decade

Adina Williams

29 papers receiving 907 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

XNLI: Evaluating Cross-lingual Sentence Representations

2018 499 citations Alexis Conneau, Ruty Rinott et al. profile →

Peers

Countries citing papers authored by Adina Williams

Since Specialization

Citations

This map shows the geographic impact of Adina Williams's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Adina Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adina Williams more than expected).

Fields of papers citing papers by Adina Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adina Williams. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Adina Williams. The network helps show where Adina Williams may publish in the future.

Co-authorship network of co-authors of Adina Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Adina Williams. A scholar is included among the top collaborators of Adina Williams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Adina Williams. Adina Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Bigger is not always better: The importance of human-scale language modeling for psycholinguistics 2025 ·Journal of Memory and Language ·Ethan Wilcox,Michael Y. Hu,Aaron Mueller,Alex Warstadt,Leshem Choshen,Chengxu Zhuang,Adina Williams,Ryan Cotterell,Tal Linzen	0
2	The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models 2024 ·Max Bartolo,Andrew Bean,(unknown),Scott A. Hale,He He,Hannah Rose Kirk,(unknown),(unknown),Paul Röttger,Bertie Vidgen,(unknown),Adina Williams	1
3	A Latent-Variable Model for Intrinsic Probing 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown),(unknown),Adina Williams,Ryan Cotterell,Isabelle Augenstein	1
4	Language model acceptability judgements are not always robust to context 2023 ·Koustuv Sinha,Jon Gauthier,Aaron Mueller,Kanishka Misra,(unknown),Roger Lévy,Adina Williams	6
5	ROBBIE: Robust Bias Evaluation of Large Generative Language Models 2023 ·(unknown),(unknown),Saghar Hosseini,(unknown),Yuchen Zhang,(unknown),(unknown),E. Presani,Adina Williams,Eric M. Smith	6
6	Robustness of Named-Entity Replacements for In-Context Learning 2023 ·(unknown),(unknown),(unknown),(unknown),Roberto Dessì,Shubham Toshniwal,Adina Williams,Jack Lanchantin,Koustuv Sinha	2
7	The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarks 2023 ·(unknown),Adina Williams,Dieuwke Hupkes	2
8	“I’m sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor Dataset 2022 ·Eric M. Smith,(unknown),Melanie Kambadur,E. Presani,Adina Williams	30
9	Perturbation Augmentation for Fairer NLP 2022 ·(unknown),Candace Ross,(unknown),Eric M. Smith,Douwe Kiela,Adina Williams	29
10	Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality 2022 ·2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Tristan Thrush,(unknown),Max Bartolo,Amanpreet Singh,Adina Williams,Douwe Kiela,Candace Ross	98
11	Based on billions of words on the internet, people = men 2022 ·Science Advances ·April H. Bailey,Adina Williams,Andrei Cimpian	29
12	On the Machine Learning of Ethical Judgments from Natural Language 2022 ·Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ·Zeerak Talat,(unknown),(unknown),(unknown),Ryan Cotterell,Adina Williams	19
13	Investigating Failures of Automatic Translationin the Case of Unambiguous Gender 2022 ·Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ·(unknown),Adina Williams	8
14	Sometimes We Want Ungrammatical Translations 2021 ·Empirical Methods in Natural Language Processing ·(unknown),Koustuv Sinha,Joëlle Pineau,Adina Williams	1
15	Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little 2021 ·Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·Koustuv Sinha,Robin Jia,Dieuwke Hupkes,Joëlle Pineau,Adina Williams,Douwe Kiela	88
16	Generalising to German Plural Noun Classes, from the Perspective of a Recurrent Neural Network 2021 ·Verna Dankers,(unknown),(unknown),Adina Williams,Dieuwke Hupkes	8
17	Intrinsic Probing through Dimension Selection 2020 ·Repository for Publications and Research Data (ETH Zurich) ·(unknown),Adina Williams,Ryan Cotterell	23
18	XNLI: Evaluating Cross-lingual Sentence Representationsbreakdown → 2018 ·Alexis Conneau,Ruty Rinott,Guillaume Lample,Adina Williams,Samuel Bowman,Holger Schwenk,Veselin Stoyanov	499
19	Learning to parse from a semantic objective: It works. Is it syntax? 2017 ·arXiv (Cornell University) ·Adina Williams,Andrew Drozdov,Samuel R. Bowman	8
20	Early sensitivity of left perisylvian cortex to relationality in nouns and verbs 2017 ·Neuropsychologia ·Adina Williams,(unknown),Liina Pylkkänen	27

About Adina Williams

Adina Williams is a scholar working on Artificial Intelligence, General Social Sciences and Cultural Studies, having authored 32 papers that have together received 971 indexed citations. Recurring topics across this work include Topic Modeling (22 papers), Natural Language Processing Techniques (20 papers) and Multimodal Machine Learning Applications (9 papers). The work is most often cited by research in Artificial Intelligence (849 citations), Computer Vision and Pattern Recognition (284 citations) and Health Informatics (13 citations). Adina Williams has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Alexis Conneau, Guillaume Lample, Ruty Rinott, Veselin Stoyanov, Holger Schwenk, Samuel Bowman, Douwe Kiela, Samuel R. Bowman, Candace Ross and Dieuwke Hupkes. Their work appears in journals such as Science Advances, Neuropsychologia and Personality and Social Psychology Bulletin.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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