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Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates
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Causal memory can boost execution accuracy in Text-to-SQL tasks, but its effectiveness is context-dependent and not universally superior to other retrieval methods.
Text encoders face a unique challenge where attempting to compress multiple valid completions into a single latent point leads to catastrophic performance issues.
Pre-generation signals can predict failure sources in vision-language models, enabling targeted interventions before answers are generated.
