--- title: "Adina Williams — papers" description: "Adina Williams: 5 papers in the Elamur Research library (2020–2022) — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/authors/adina-williams/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/adina-williams/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Adina Williams # Adina Williams 5 papers on this site (2020–2022) [OpenAlex](https://openalex.org/A5062696000) · [ORCID](https://orcid.org/0000-0001-5281-3343) · h-index 28 · 154 works · 9856 citations (openalex-snapshot, 2026-10-14) Profile data from OpenAlex; authors with the same name are not always told apart. - [“I'm sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor Dataset](https://md.research.elamur.ai/free/en/papers/smith-2022-i-m-sorry-hear-that/) — Eric Michael Smith, Melissa Hall, Melanie Kambadur, et al. · 2022 - [Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little](https://md.research.elamur.ai/free/en/papers/sinha-2021-masked-language-modeling-distributional-hypothesis/) — Koustuv Sinha, Robin Jia, Dieuwke Hupkes, et al. · 2021 - [Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition](https://md.research.elamur.ai/free/en/papers/jeretic-2020-are-natural-language-inference-models/) — Paloma Jeretic, Alex Warstadt, Suvrat Bhooshan, et al. · 2020 - [Information-Theoretic Probing for Linguistic Structure](https://md.research.elamur.ai/free/en/papers/pimentel-2020-information-theoretic-probing-linguistic-structure/) — Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay, et al. · 2020 - [Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation](https://md.research.elamur.ai/free/en/papers/dinan-2020-queens-are-powerful-too-mitigating/) — Emily Dinan, Angela Fan, Adina Williams, et al. · 2020