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Found 4 papers, 2 papers with code
The language of prompting: What linguistic properties make a prompt successful?
The latest generation of LLMs can be prompted to achieve impressive zero-shot or few-shot performance in many NLP tasks.
Probing LLMs for Joint Encoding of Linguistic Categories
Large Language Models (LLMs) exhibit impressive performance on a range of NLP tasks, due to the general-purpose linguistic knowledge acquired during pretraining.
Undesirable Biases in NLP: Addressing Challenges of Measurement
In particular, we will explore two central notions from psychometrics, the construct validity and the reliability of measurement tools, and discuss how they can be applied in the context of measuring model bias.
Robust Joint and Individual Variance Explained
Even though the CCA is a powerful tool, it has several drawbacks that render its application challenging for computer vision applications.
