Statistical language models assign probabilities to sequences of words, and are used in systems that perform speech recognition, machine translation, and many other tasks. In recent years, language ...

For instance, the research found that for facts that appear only once in the training data, the hallucination rate of AI is at least equal to the proportion of such facts in the t ...

This paper presents a novel method to segment/decode DNA sequences based on n-gram statistical language model. Firstly, we find the length of most DNA “words” is 12 to 15 bps by analyzing the genomes ...

Traditional large language models may inadvertently memorize sensitive information during training, such as names, addresses, and confidential documents. To address this challenge, VaultGemma ...

Statistical language models assign probabilities to sequences of words, and are used in systems that perform text summarization, machine translation, question answering, information extraction, text ...