DeepMind and UCL’s Comprehensive Analysis of Latent Multi-Hop Reasoning in Large Language Models

In an intriguing exploration spearheaded by researchers at Google DeepMind and University College London, the capabilities of Large Language Models (LLMs) to engage in latent multi-hop reasoning have been put under the microscope. This cutting-edge study delves into whether LLMs, when presented with complex prompts requiring the connection of disparate pieces of information, can internally […]

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