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Current LLMs falter in mobile environments, with performance plummeting under real-world constraints, revealing critical gaps in their planning capabilities.
A structured evidence-state approach can boost omni-modal QA accuracy by over 30%, transforming how agents gather and validate information across diverse sources.
GeoRAG reveals that optimizing for information demand coverage can boost retrieval-augmented generation performance by over 7 points in exact match scores, challenging the effectiveness of traditional ranking methods.
LineageMark ensures that contributor watermarks survive multiple model adaptations, maintaining integrity even under fine-tuning and pruning.
