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#performance-estimation News & Analysis

2 articles tagged with #performance-estimation. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv – CS AI · Jun 55/10
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Bridging Domain Expertise and Generalization for Performance Estimation

Researchers propose FRAP (Fused Reference Alignment Prediction), a method that combines a foundation model with a domain-specific base model to improve performance estimation when AI models encounter distribution shifts. By aligning and fusing predictions from both models through calibration, FRAP provides more reliable performance indicators without ground-truth labels.

AIBullisharXiv – CS AI · May 286/10
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Regression Language Models for Code

Researchers have developed Regression Language Models (RLMs) that use frozen LLM encoders to predict numeric code execution outcomes across multiple programming languages and domains. A 300M parameter model demonstrates strong performance predicting memory footprint, GPU latency, neural network accuracy, and hardware platform performance without domain-specific feature engineering.