--- title: "Margaret Li — author profile and papers · Dialogue systems" description: "Margaret Li: 2 papers on Elamur Research (2020–2021), h-index 13 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/margaret-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/margaret-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Margaret Li # Margaret Li Margaret Li has 2 papers in our library, in 2020–2021, most of them on [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Jason Weston](https://md.research.elamur.ai/free/en/authors/jason-weston/), [Y-Lan Boureau](https://md.research.elamur.ai/free/en/authors/y-lan-boureau/), [Da Ju](https://md.research.elamur.ai/free/en/authors/da-ju/). 2 papers in our library · 2020–2021 [OpenAlex](https://openalex.org/A5001224830) · [ORCID](https://orcid.org/0000-0002-1685-4380) · [Wikidata](https://www.wikidata.org/wiki/Q82227185) · [**h-index 13**](https://openalex.org/authors/A5001224830) · [33 works](https://openalex.org/works?filter=author.id:A5001224830) · [1,589 citations](https://openalex.org/works?filter=author.id:A5001224830&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/margaret-li/#papers) · [🔗 Cited 443 times in our library](https://md.research.elamur.ai/free/en/authors/margaret-li/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3941](https://md.research.elamur.ai/free/en/paper-stars/page/40/#star-3941) 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=Margaret+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Margaret+Li) · [dblp](https://dblp.org/search?q=Margaret+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Margaret+Li) ## Affiliations [🎓**University of Washington** Seattle · United States 2022–2025 · 11 papers](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🏢**Meta** Menlo Park · United States 2019–2023 · 7 papers](https://md.research.elamur.ai/free/en/companies/meta/) · [🏢**Meta** London · United Kingdom 2019–2021 · 4 papers](https://md.research.elamur.ai/free/en/companies/meta-united-kingdom/) · [🤝**Institute for Systems Biology** Seattle · United States 2023 · 3 papers](https://ror.org/02tpgw303) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions 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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Dialogue systems · 2 works](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) ## Works by year ### 2020s [**2021** 1 paper Margaret Li's papers of 2021](https://md.research.elamur.ai/free/en/papers/xu-2021-bot-adversarial-dialogue-safe-conversational/) · [**2020** 1 paper Margaret Li's papers of 2020](https://md.research.elamur.ai/free/en/papers/li-2020-don-t-say-that-making/) ## Papers The most cited first (OpenAlex and our library). 1. **[Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training](https://md.research.elamur.ai/free/en/papers/li-2020-don-t-say-that-making/)** *(2020 · 215 citations)* Generative dialogue models trained only with maximum likelihood show several weaknesses. They copy too much from the context, repeat n-grams inside a single reply, overuse frequent tokens, and can contradict what was said earlier. The authors extend the unlikelihood loss of Welleck et al. (2019a) into a general… 2. **[Bot-Adversarial Dialogue for Safe Conversational Agents](https://md.research.elamur.ai/free/en/papers/xu-2021-bot-adversarial-dialogue-safe-conversational/)** *(2021 · 139 citations)* Open-domain chatbots trained on large human conversation corpora can pick up toxic behavior. Most safety work has studied human-written text, not what bots say when users deliberately provoke them. The authors propose Bot-Adversarial Dialogue (BAD), a human-and-model-in-the-loop framework. Crowdworkers chat with… ## All works 6 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. **[Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training](https://md.research.elamur.ai/free/en/papers/li-2020-don-t-say-that-making/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Margaret Li, Stephen Roller, Ilia Kulikov, et al.*2020 · 215 citations* 2. **[Recipes for Safety in Open-domain Chatbots ↗](https://arxiv.org/abs/2010.07079) arXiv:2010.07079 · no summary yet**Jing Xu et al.*2020 · 198 citations* 3. **[Bot-Adversarial Dialogue for Safe Conversational Agents](https://md.research.elamur.ai/free/en/papers/xu-2021-bot-adversarial-dialogue-safe-conversational/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jing Xu, Da Ju, Margaret Li, et al.*2021 · 139 citations* 4. **[Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models ↗](https://arxiv.org/abs/2208.03306) arXiv:2208.03306 · no summary yet**Margaret Li et al.*2022 · 108 citations* 5. **[In-context Pretraining: Language Modeling Beyond Document Boundaries ↗](https://arxiv.org/abs/2310.10638) arXiv:2310.10638 · no summary yet**Weijia Shi et al.*2023 · 55 citations* 6. **[Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models ↗](https://aclanthology.org/2024.emnlp-main.604/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Terra Blevins et al.*2024 · 41 citations* ## Co-authors here 9 co-authors with a page, the most papers together first. - [Jason Weston](https://md.research.elamur.ai/free/en/authors/jason-weston/) ×2 - [Y-Lan Boureau](https://md.research.elamur.ai/free/en/authors/y-lan-boureau/) ×2 - [Da Ju](https://md.research.elamur.ai/free/en/authors/da-ju/) - [Emily Dinan](https://md.research.elamur.ai/free/en/authors/emily-dinan/) - [Ilia Kulikov](https://md.research.elamur.ai/free/en/authors/ilia-kulikov/) - [Jing Xu](https://md.research.elamur.ai/free/en/authors/jing-xu/) - [Kyunghyun Cho](https://md.research.elamur.ai/free/en/authors/kyunghyun-cho/) - [Sean Welleck](https://md.research.elamur.ai/free/en/authors/sean-welleck/) - [Stephen Roller](https://md.research.elamur.ai/free/en/authors/stephen-roller/) ## 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 2020](https://md.research.elamur.ai/free/en/venues/acl/2020/) - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2021](https://md.research.elamur.ai/free/en/venues/naacl/2021/) - Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing ## Cited by Papers of our library cite their works 443 times (of the 141,840 papers whose bibliographies we read); [63 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/margaret-li/cited-by/). Updated 24 October 2026