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Pixel Linguist II not only sets new benchmarks in multilingual visual text understanding but also maintains performance under 80% visual token compression.
TradingMoE boosts trading returns by over 30% by dynamically selecting the most relevant experts based on evolving market conditions.
Skill-伪 outperforms traditional skill generation methods by leveraging a novel rollback reward mechanism, leading to significant improvements in agent performance on downstream tasks.
LLMs can learn to tailor their queries for different retrievers, revealing that one-size-fits-all strategies are ineffective in retrieval-augmented generation.
