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Found 3 papers, 2 papers with code
Quantitative knowledge retrieval from large language models
Large language models (LLMs) have been extensively studied for their abilities to generate convincing natural language sequences, however their utility for quantitative information retrieval is less well understood.
X Hacking: The Threat of Misguided AutoML
Explainable AI (XAI) and interpretable machine learning methods help to build trust in model predictions and derived insights, yet also present a perverse incentive for analysts to manipulate XAI metrics to support pre-specified conclusions.
Flexible Group Fairness Metrics for Survival Analysis
In this paper we explore how to utilise existing survival metrics to measure bias with group fairness metrics.
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