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HallDetect flags hallucinations by identifying just one confidently contradicted claim, revolutionizing how we ensure factual accuracy in LLM outputs.
Pruning the vocabulary of multilingual models can lead to a 60% memory savings without sacrificing translation quality, challenging the need for large vocabularies in MNMT.
