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  “The Generative AI Paradox: What It Can Create, It May Not Understand” is out. [Paper] |
| Oct 2023 | New paper “Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement” is out. [Paper][Code] |
| 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 “Fine-Grained Human Feedback Gives Better Rewards for Language Model Training” is out. [Paper] [Code/Data] (NeurIPS Spotlight 2023) |
| May 2023 | New paper  “Faith and Fate: Limits of Transformers in Compositionality” is out. [Paper][Code][Blog] (NeurIPS Spotlight 2023) |
| Mar 2023 | New paper “Self-Refine: Iterative Refinement with Self-Feedback”  is out. [Paper][Website][Demo] (NeurIPS 2023) |