Adina Williams
RESEARCH SCIENTIST | NEW YORK CITY, UNITED STATES
Adina is a Research Scientist at Facebook AI Research in NYC (started October 2018). Previously, she earned her PhD at New York University in the Department of Linguistics, where she investigated the brain basis of syntactic and semantic processing. Her main research goal is to strengthen the connections between linguistics and cognitive science on the one hand and natural language processing and artificial intelligence on the other. She approaches this process from both directions: she brings linguistic and cognitive scientific insights about human language to bear on training, evaluating, and debiasing NLP systems, and also applies statistical methods and corpus analytic tools from NLP to uncover new quantitative, cross-linguistic facts about particular human languages.
Research Areas
Adina's Work
Adina's Publications
June 11, 2025
RESEARCH
COMPUTER VISION
IntPhys 2: Benchmarking Intuitive Physics Understanding In Complex Synthetic Environments
Adina Williams, Emmanuel Dupoux, Florian Bordes, Justine Kao, Mike Rabbat, Quentin Garrido
June 11, 2025
June 14, 2024
COMPUTER VISION
Decomposed evaluations of geographic disparities in text-to-image models
Abhishek Sureddy, Dishant Padalia, Nandhinee Periyakaruppa, Oindrila Saha, Polina Kirichenko, Melissa Hall, Adina Williams, Adriana Romero Soriano, Megan Richards
June 14, 2024
November 06, 2023
CONVERSATIONAL AI
NLP
ROBBIE: Robust Bias Evaluation of Large Generative Language Models
Eric Smith, Adina Williams, Alex Presani, David Esiobu, Ellen Tan, Jane Yu, Jude Fernandes, Megan Ung, Saghar Hosseini, Yuchen Zhang
November 06, 2023
November 01, 2023
NLP
The validity of evaluation results: assessing concurrence across compositionality benchmarks
Dieuwke Hupkes, Adina Williams, Kaiser Sun
November 01, 2023
July 18, 2023
CONVERSATIONAL AI
NLP
Llama 2: Open Foundation and Fine-Tuned Chat Models
Moya Chen, Marie-Anne Lachaux, Thibaut Lavril, Hugo Touvron, Adina Williams, Alan Schelten, Amjad Almahairi, Andrew Kuan, Andrew Poulton, Angela Fan, Anthony Hartshorn, Artem Korenev, Aurelien Rodriguez, Binh Tang, Brian Fuller, Cristian Canton Ferrer, Cynthia Gao, Dan Bikel, David Esiobu, Diana Liskovich, Xiaoqing Ellen Tan, Eric Michael Smith, Guillem Cucurull, Hakan Inan, Igor Molybog, Iliyan Zarov, Isabel Kloumann, Puxin Xu, Jenya Lee, Jeremy Fu, Jeremy Reizenstein, Jude Fernandes, Kalyan Saladi, Kevin Stone, Louis Martin, Lukas Blecher, Madian Khabsa, Marcin Kardas, Melanie Kambadur, Naman Goyal, Nikolay Bashlykov, Peter Albert, Praj Bhargava, Punit Singh Koura, Pushkar Mishra, Ranjan Subramanian, Rashi Rungta, Robert Stojnic, Ross Taylor, Ruan Silva, Rui Hou, Saghar Hosseini, Sergey Edunov, Sharan Narang, Shruti Bhosale, Soumya Batra, Thomas Scialom, Todor Mihaylov, Vedanuj Goswami, Viktor Kerkez, Wenyin Fu, Xavier Martinet, Yasmine Babaei, Yinghai Lu, Yixin Nie, Yuchen Zhang, Yuning Mao, Zheng Yan
July 18, 2023
July 10, 2023
HUMAN & MACHINE INTELLIGENCE
NLP
Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks
Anmol Gupta, Max Bartolo, Tariq Kane, William Gaviria Rojas, Peter Mattson, Douwe Kiela, Tristan Thrush, Adina Williams, Kushal Tirumala, Pedro Rodriguez
July 10, 2023
June 21, 2023
HUMAN & MACHINE INTELLIGENCE
NLP
Benchmarking Compositionality with Formal Languages
Josef Valvoda, Naomi Saphra, Jonathan Rawski, Ryan Cotterell, Adina Williams
June 21, 2023
December 09, 2022
CONVERSATIONAL AI
NLP
"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset
Eleonora Presani, Adina Williams, Eric Michael Smith, Melanie Kambadur, Melissa Hall
December 09, 2022
December 01, 2022
NLP
CORE MACHINE LEARNING
The Curious Case of Absolute Position Embeddings
Koustuv Sinha, Adina Williams, Dieuwke Hupkes, Joelle Pineau, Amirhossein Kazemnejad, Siva Reddy
December 01, 2022
June 20, 2022
On the Machine Learning of Ethical Judgments from Natural Language
Adina Williams, Hagen Blix, Josef Valvoda, Maya Indira Ganesh, Ryan Cotterell, Zeerak Talat
June 20, 2022
June 03, 2022
Based on billions of words on the internet, PEOPLE = MEN
Adina Williams, Andrei Cimpian, April Bailey
June 03, 2022
September 23, 2021
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little
Koustuv Sinha, Adina Williams, Dieuwke Hupkes, Douwe Kiela, Joelle Pineau, Robin Jia
September 23, 2021
September 19, 2021
Generalising to German Plural Noun Classes, from the Perspective of a Recurrent Neural Network
Dieuwke Hupkes, Adina Williams, Anna Langedijk, Kate McCurdy, Verna Dankers
September 19, 2021
June 29, 2020
RESEARCH
NLP
Adversarial NLI: A New Benchmark for Natural Language Understanding
Douwe Kiela, Adina Williams, Emily Dinan, Jason Weston, Mohit Bansal, Yixin Nie
June 29, 2020
June 26, 2020
NLP
On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs
Adina Williams, Damian Blasi, Hanna Wallach, Lawrence Wolf-Sonkin, Ryan Cotterell
June 26, 2020
June 26, 2020
RESEARCH
NLP
Information-Theoretic Probing for Linguistic Structure
Adina Williams, Joseph Valvoda, Ran Zmigrod, Rowan Hall Maudsley, Ryan Cotterell, Tiago Pimentel
June 26, 2020
June 19, 2020
RESEARCH
NLP
Predicting Declension Class from Form and Meaning
Adina Williams, Arya McCarthy, Eleanor Chodroff, Hagen Blix, Ryan Cotterell, Tiago Pimentel
June 19, 2020
June 19, 2020
RESEARCH
NLP
A Tale of a Probe and a Parser
Adina Williams, Joseph Valvoda, Rowan Hall Maudsley, Ryan Cotterell, Tiago Pimentel
June 19, 2020
June 19, 2020
RESEARCH
NLP
Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition
Adina Williams, Suvrat Bhooshan, Alex Warstadt, Paloma Jeretic
June 19, 2020
October 09, 2019
RESEARCH
NLP
Quantifying the Semantic Core of Gender Systems
Adina Williams, Ryan Cotterell, Damian Blasi, Hanna Wallach, Lawrence Wolf-Sonkin
October 09, 2019
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