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  Limitation: as models become more capable, this benchmark may become outdated/too easy. The ideal benchmark is one that tests the model's alignment - its propensity toward following the system prompt - rather than its ability to do so.
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- Bias: this datset is only in English, with the exception of three French prompts.
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  ## Citation
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  **BibTeX:**
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- @misc{li2024measuringcontrollinginstructioninstability,
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  title={Measuring and Controlling Instruction (In)Stability in Language Model Dialogs},
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  author={Kenneth Li and Tianle Liu and Naomi Bashkansky and David Bau and Fernanda Viégas and Hanspeter Pfister and Martin Wattenberg},
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  year={2024},
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  archivePrefix={arXiv},
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  primaryClass={cs.CL},
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  url={https://arxiv.org/abs/2402.10962},
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- }
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  **APA:**
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  Limitation: as models become more capable, this benchmark may become outdated/too easy. The ideal benchmark is one that tests the model's alignment - its propensity toward following the system prompt - rather than its ability to do so.
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+ Bias: this dataset is only in English, with the exception of three French prompts.
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  ## Citation
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  **BibTeX:**
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+ ```@misc{li2024measuringcontrollinginstructioninstability,
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  title={Measuring and Controlling Instruction (In)Stability in Language Model Dialogs},
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  author={Kenneth Li and Tianle Liu and Naomi Bashkansky and David Bau and Fernanda Viégas and Hanspeter Pfister and Martin Wattenberg},
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  year={2024},
 
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  archivePrefix={arXiv},
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  primaryClass={cs.CL},
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  url={https://arxiv.org/abs/2402.10962},
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+ }```
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  **APA:**
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