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K-EXAONE 2.0 achieves over three times the capacity of its predecessor while enhancing multilingual capabilities and long-context reasoning.
LG's EXAONE 4.5 shows that strategically curating training data, particularly document-centric corpora, unlocks substantial gains in specialized tasks like document understanding and Korean contextual reasoning, even while maintaining competitive general performance.
LLMs struggle to selectively apply user preferences stored in memory, often misapplying them even when social norms dictate otherwise, revealing a critical gap in context-aware personalization.
