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Reasoning

Enhancing Robustness in LLMs

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Enhancing Robustness in LLMs
The curator’s take

proposes a two-stage prompting technique to remove irrelevant information from context; it serves as a self-mitigation process that first identifies the irrelevant information and then filters it out; this leads to enhancement in robustness of the model and overall better performance on reasoning tasks.

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