Adina Williams
Research scientist at Meta's FAIR; first author of the MultiNLI corpus and co-author of Llama 2
- Research Scientist, Meta (Fundamental AI Research, FAIR)128
Adina Williams is a research scientist at FAIR, Meta's Fundamental AI Research team. Meta's people page describes research that connects linguistics and cognitive science with natural language processing and AI, bringing those insights to training, evaluating, and debiasing NLP systems. Williams is first author of the Multi-Genre Natural Language Inference (MultiNLI) corpus paper (2017) and a co-author of Adversarial NLI (2019), the HolisticBias dataset paper (2022), and Llama 2 (2023). Williams is also among the authors of Meta's Muse Spark Safety & Preparedness Report (2026).1234678
Work
Llama 2Open weights
Co-author of Llama 2: Open Foundation and Fine-Tuned Chat Models (2023), which develops and releases pretrained and fine-tuned models from 7 to 70 billion parameters.71
Muse Spark Safety & Preparedness ReportPublished research
Listed among the authors of the Muse Spark Safety & Preparedness Report (2026), which presents Meta's catastrophic-risk evaluations and broader safety analysis for the Muse Spark model.8
MultiNLI corpus (external site: arxiv.org)Published research
First author, with Nikita Nangia and Samuel R. Bowman, of A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference (2017), which introduces the MultiNLI corpus for developing and evaluating sentence-understanding models.3
Adversarial NLI (external site: github.com)Open data
Co-author of Adversarial NLI: A New Benchmark for Natural Language Understanding (2019); the facebookresearch/anli repository is published under the Creative Commons Attribution-NonCommercial 4.0 International license.45
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