Tag: language model evaluation
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Evaluating Large Language Models with Coupled Token Generation
Discover how coupled token generation improves evaluation accuracy and reduces sample needs in large language model assessments.
Adaptive Importance Sampling for Bayesian LOO Cross-Validation
Improve Bayesian LOO cross-validation with adaptive importance sampling to reduce variance and enhance model evaluation accuracy efficiently.
Fair Model Representations and Recommendation Fairness
Discover how fair model representations impact recommendation fairness and explore new methods to evaluate bias in AI recommender systems.
Konkani LLM: Multi-Script Tuning for Low-Resource Language
Discover how Konkani LLM uses multi-script tuning and synthetic data to boost AI performance in this low-resource Indian language.