Tag: adversarial machine learning
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PrefixGuard: Real-Time Failure Warning for LLM Agents
Discover PrefixGuard, a novel framework offering real-time failure warnings for LLM agents using trace-based monitoring and supervised training.
Debiased Multimodal Personality AI via Dual Causal Intervention
Improve fairness in AI personality assessment with Dual Causal Intervention, reducing bias in multimodal data for accurate, ethical results.
Real vs Synthetic Priors in Tabular Foundation Models
Explore how real and synthetic priors impact tabular foundation models, revealing key differences and effects on model performance.
Controller Class Selection Theory for LLM Action Decisions
Explore a new regime theory optimizing controller class selection to improve decision-making in large language models (LLMs) across diverse benchmarks.
Data Language Models: Revolutionizing Tabular Data AI
Discover how Data Language Models like Schema-1 transform AI by directly processing tabular data without preprocessing, boosting prediction and imputation.