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 ...

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 ...

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 ...

Among these, the popularity of diffusion language models is particularly noteworthy. What is a diffusion language model? Why has it garnered such immense attention in a short period? This article will ...

This paper addresses two closely related questions, "What is a statistical model?" and "What is a parameter?" The notions that a model must "make sense," and that a parameter must "have a well-defined ...