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LCoT-GV reveals that even correct answers can be underpinned by flawed reasoning, and offers a robust method for verifying the integrity of these reasoning chains.
ReLTEx reduces hallucinations in LLM-generated taxonomies, leading to expansions that are not only more reliable but also semantically coherent.