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Found 3 papers, 2 papers with code
A User-Centric Benchmark for Evaluating Large Language Models
To address this oversight, we propose benchmarking LLMs from a user perspective in both dataset construction and evaluation designs.
Measuring Item Global Residual Value for Fair Recommendation
In this paper, we call for a shift of attention from modeling user preferences to developing fair exposure mechanisms for items.
Interpretable Distance Metric Learning for Handwritten Chinese Character Recognition
In this paper, we propose an interpretable distance metric learning approach for handwritten Chinese character recognition.
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