Nouha Dziri

I’m a research scientist at Allen Institute for AI working with Yejin Choi and the Mosaic team. Prior to this, I earned my PhD in 2022 from the University of Alberta and the Alberta Machine Intelligence Institute where I worked on reducing hallucination in conversational language models. Currently, my work revolves around three main axes:
- Science of LMs: Understanding the limits of Transformers and their inner workings.
- Innovation with learning: Building smaller LMs that can learn more efficiently.
- Social impact of LMs: Better aligning LMs with human values and ethical principles.
In the past, I was fortunate to work with brilliant researchers in the field. I have worked with Siva Reddy at Mila/McGill, with Hannah Rashkin, Tal Linzen, David Reitter, Diyi Yang, and Tom Kwiatkowski at Google Research NYC and have worked with Alessandro Sordoni, and Goeff Gordon at Microsoft Research Montreal.
News
Nov 2023 | Invited Talk: Presented “Faith and Fate” & “Generative AI Paradox” at LLM evaluation workshop at The Alan Turing Institute. |
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Nov 2023 | Invited Talk: Presented “Faith and Fate” in ILCC CDT/NLP seminar, University of Edinburgh. |
Nov 2023 | Invited Talk: Presented “Faith and Fate” at SAIL workshop on fundamental limits of LLMs. |
Nov 2023 | New paper ![]() |
Oct 2023 | New paper ![]() |
Oct 2023 | Invited Talk: Presented “Faith and Fate” at the University of Pittisburgh |
Oct 2023 | 2 papers accepted at EMNLP. |
Sep 2023 | Invited Talk: Presented “Faith and Fate” at the Formal Languages and Neural Networks Seminar [Video] |
Sep 2023 | 3 papers accepted at NeurIPS. See you in New Orleans ![]() |
Jun 2023 | New paper ![]() |
May 2023 | New paper ![]() ![]() ![]() |
Mar 2023 | New paper ![]() ![]() |