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@@ -475,7 +475,7 @@ EMNLP](https://arxiv.org/abs/2211.02570), [Yang et al., 2024](https://arxiv.org/
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and evaluate if grokking helps to better understand the learning processes of modern
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deep language models. References: [Power et al.](https://arxiv.org/abs/2201.02177), [Huang et al.](https://arxiv.org/abs/2402.15175), [Hupkes et al.](https://arxiv.org/abs/1908.08351v2) **Level:
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MSc**
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- _Understanding prompt instability_. It has been shown that LLMs are very unstable
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- :hourglass_flowing_sand: _Understanding prompt instability_. It has been shown that LLMs are very unstable
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with regard to the prompts and even a small change like an inserted space or
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misspelled word can drastically change the generated output. In this project, we want
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to identify such instability situations and especially explore the reasons behind

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