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Indian Institute of Technology Patna
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HybridMoE boosts idiomatic understanding in multilingual models by integrating insights from multiple experts, leading to significant performance gains in figurative language representation.
Current language models fail spectacularly at understanding idioms, often missing the culturally-grounded, metaphorical meaning, even when provided with supporting images.
LLMs can only decompose complex data analysis queries into executable tool-based plans with ~85% accuracy, highlighting persistent gaps in tool understanding and planning ability for contact center AI.
