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Meta Semantic Template for Evaluation of Large Language Models
We hope this initial work can shed light on future research of LLMs evaluation.
Ranking & Reweighting Improves Group Distributional Robustness
Recent work has shown that standard training via empirical risk minimization (ERM) can produce models that achieve high accuracy on average but low accuracy on underrepresented groups due to the prevalence of spurious features.
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