--- title: "Nicholas Meade — author profile and papers in our library" description: "Nicholas Meade, Mila - Quebec Artificial Intelligence Institute: 2 papers on Elamur Research (2022–2024), h-index 5 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/nicholas-meade/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/nicholas-meade/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Nicholas Meade # Nicholas Meade Nicholas Meade has 2 papers in our library, in 2022–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Siva Reddy](https://md.research.elamur.ai/free/en/authors/siva-reddy/), [Parishad BehnamGhader](https://md.research.elamur.ai/free/en/authors/parishad-behnamghader/), [Vaibhav Adlakha](https://md.research.elamur.ai/free/en/authors/vaibhav-adlakha/). 2 papers in our library · 2022–2024 [OpenAlex](https://openalex.org/A5058072829) · [ORCID](https://orcid.org/0000-0003-2161-2690) · [**h-index 5**](https://openalex.org/authors/A5058072829) · [32 works](https://openalex.org/works?filter=author.id:A5058072829) · [423 citations](https://openalex.org/works?filter=author.id:A5058072829&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/nicholas-meade/#papers) · [🔗 Cited 217 times in our library](https://md.research.elamur.ai/free/en/authors/nicholas-meade/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3929](https://md.research.elamur.ai/free/en/paper-stars/page/40/#star-3929) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Nicholas+Meade) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Nicholas+Meade) · [dblp](https://dblp.org/search?q=Nicholas+Meade) · [ACL Anthology](https://aclanthology.org/search/?q=Nicholas+Meade) ## Affiliations [🎓**McGill University** Montreal · Canada 2021–2026 · 19 papers*current*](https://md.research.elamur.ai/free/en/universities/mcgill-university/) · [🔬**Mila - Quebec Artificial Intelligence Institute** Montreal · Canada 2022–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/labs/mila-quebec-artificial-intelligence-institute/) · [🏢**Amazon** Seattle · United States 2023 · 2 papers](https://md.research.elamur.ai/free/en/companies/amazon/) · [🎓**Centre Universitaire de Mila** Mila · Algeria 2022–2023 · 2 papers](https://ror.org/05s3cw058) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 4 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) ## Works by year ### 2020s [**2024** 1 paper Nicholas Meade's papers of 2024](https://md.research.elamur.ai/free/en/papers/adlakha-2024-evaluating-correctness-faithfulness-instruction-following/) · [**2022** 1 paper Nicholas Meade's papers of 2022](https://md.research.elamur.ai/free/en/papers/meade-2022-empirical-survey-effectiveness-debiasing-techniques/) ## Papers The most cited first (OpenAlex and our library). 1. **[An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/meade-2022-empirical-survey-effectiveness-debiasing-techniques/)** *(2022 · 211 citations)* Pre-trained language models absorb social stereotypes from their web-scale training text. Many debiasing methods have been proposed, but they are usually tested narrowly: often only for gender, and rarely for side effects. Under a single evaluation setup, this study compares five popular methods: Self-Debias… 2. **[Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering](https://md.research.elamur.ai/free/en/papers/adlakha-2024-evaluating-correctness-faithfulness-instruction-following/)** *(2024 · 145 citations)* Instruction-following LLMs can answer questions when given retrieved passages and a task instruction, with no extra training. ## All works 3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/meade-2022-empirical-survey-effectiveness-debiasing-techniques/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nicholas Meade, Elinor Poole-Dayan, Siva Reddy*2022 · 211 citations* 2. **[Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering](https://md.research.elamur.ai/free/en/papers/adlakha-2024-evaluating-correctness-faithfulness-instruction-following/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Vaibhav Adlakha, Parishad BehnamGhader, Xing Han Lu, et al.*2024 · 145 citations* 3. **[DeepSeek-R1 Thoughtology: Let's think about LLM Reasoning ↗](https://arxiv.org/abs/2504.07128) arXiv:2504.07128 · no summary yet**Sara Vera Marjanovic et al.*2025 · 44 citations* ## Co-authors here 3 co-authors with a page, the most papers together first. - [Siva Reddy](https://md.research.elamur.ai/free/en/authors/siva-reddy/) ×2 - [Parishad BehnamGhader](https://md.research.elamur.ai/free/en/authors/parishad-behnamghader/) - [Vaibhav Adlakha](https://md.research.elamur.ai/free/en/authors/vaibhav-adlakha/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2022](https://md.research.elamur.ai/free/en/venues/acl/2022/) - [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2024](https://md.research.elamur.ai/free/en/venues/tacl/2024/) ## Cited by Papers of our library cite their works 217 times (of the 141,840 papers whose bibliographies we read); [19 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/nicholas-meade/cited-by/). Updated 24 October 2026