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Found 3 papers, 2 papers with code
REALM: A Dataset of Real-World LLM Use Cases
Large Language Models, such as the GPT series, have driven significant industrial applications, leading to economic and societal transformations.
Intrinsic Bias is Predicted by Pretraining Data and Correlates with Downstream Performance in Vision-Language Encoders
Studying 131 unique CLIP models, trained on 26 datasets, using 55 architectures, and in a variety of sizes, we evaluate bias in each model using 26 well-established unimodal and cross-modal principled Embedding Association Tests.
Pre-Calc: Learning to Use the Calculator Improves Numeracy in Language Models
Quantitative and numerical comprehension in language is an important task in many fields like education and finance, but still remains a challenging task for language models.
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