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most citedDesigning Informative Metrics for Few-Shot Example Selection

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cs.CL2024

Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models

Rishabh Adiga, Besmira Nushi, Varun Chandrasekaran

We explore the internal mechanisms of how bias emerges in large language models (LLMs) when provided with ambiguous comparative prompts: inputs that compare or enforce choosing bet…

cs.CL2024★ 1 cited

Designing Informative Metrics for Few-Shot Example Selection

Rishabh Adiga, Lakshminarayanan Subramanian, Varun Chandrasekaran

Pretrained language models (PLMs) have shown remarkable few-shot learning capabilities when provided with properly formatted examples. However, selecting the "best" examples remain…