AdaMCoT uses dynamic routing of chain-of-thought reasoning in intermediary languages with a reward-based selector to improve cross-lingual factual consistency in LLMs.
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AdaMCoT: Rethinking Cross-Lingual Factual Reasoning through Adaptive Multilingual Chain-of-Thought
AdaMCoT uses dynamic routing of chain-of-thought reasoning in intermediary languages with a reward-based selector to improve cross-lingual factual consistency in LLMs.