Tag: AI model evaluation
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MetaGAI: Benchmark for Generative AI Model & Data Cards
Discover MetaGAI, a large-scale benchmark for evaluating generative AI models and automated data card generation with human-in-the-loop validation.
Estimating Tail Risks in Language Model Outputs Safely
Discover efficient methods to estimate rare harmful outputs in language models, improving safety with fewer samples and better risk prediction.
Background Temperature Reveals Hidden Randomness in LLMs
Discover how background temperature explains hidden randomness in large language models, improving reproducibility and evaluation.
Detecting Precision Risks in Large Language Models
Discover how PrecisionDiff identifies hidden precision-induced output errors in large language models to improve reliability and deployment safety.
HalluAudio: Benchmark for Hallucination Detection in LALMs
Discover HalluAudio, the first large-scale benchmark to detect hallucinations in large audio-language models across speech, music, and environmental sounds...