Tag: AI model evaluation
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Boost Language Model Evaluation with Structured Prompts
Discover how structured prompts enhance language model evaluations, improving accuracy and shifting benchmark rankings by up to 6%.
Why Deep Networks Prefer Simple Data Patterns
Explore how deep networks consistently assign higher density to simpler data, revealing key insights into model behavior and out-of-distribution anomalies.
Uni-SafeBench: Safety Risks in Unified Multimodal Models
Explore Uni-SafeBench, a benchmark assessing safety challenges in Unified Multimodal Large Models and their impact on AI performance.
Independent Reproduction of OpenAI GPT-OSS-20B Scores
Successfully reproduced OpenAI GPT-OSS-20B scores using reverse-engineered tools and a native harmony agent harness for accurate AI evaluation.