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#Machine Learning Theory

2 articles with this tag

Context Overload: The Paradox of LLM Long Windows
AI Research

Context Overload: The Paradox of LLM Long Windows

New research reveals that longer LLM context windows can hinder parametric knowledge, leading to performance degradation and increased context reliance, challenging the 'more is always better' assumption.

about 1 month ago
Causal Inference's Counterfactual Blind Spot
AI Research

Causal Inference's Counterfactual Blind Spot

Predictive AI models fail on counterfactual couplings. A new world model using semidefinite kernels offers a solution for robust causal inference.

3 months ago

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