Evaluating Latent Multi-Hop Reasoning in Large Language Models Investigates whether LLMs can combine factual knowledge across multiple hops without relying on pretraining shortcuts. Problem:
LLMs struggle with latent multi-hop reasoning due to reliance on pretraining

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