COLM

The Conference on Language Modeling, an annual peer-reviewed conference devoted to the science and engineering of language modelslanguage model, n.: A system that has learned how likely different sequences of words are, so it can predict the next word in a text and, by doing that repeatedly, write text of its own.: pretraining data and methods, alignment, evaluation, interpretability, efficiency, safety and societal effects. It was created on the view that language modeling had become a field of its own that fit awkwardly between general machine learningmachine learning, n.: A way of building software that learns from examples instead of following rules written by a programmer. Shown thousands of labeled photos, for instance, a program can learn to recognize cats. venues such as NeurIPSNeurIPS, prop. n.: The largest yearly scientific conference on artificial intelligence and machine learning, held each December, where many of the field's landmark papers were first presented. and natural language processingnatural language processing, n.: The field that teaches computers to handle human language — to read, interpret, translate, summarize and produce text and speech. It is one of the oldest and largest areas of artificial intelligence. venues such as those of the Association for Computational LinguisticsAssociation for Computational Linguistics, prop. n.: The scientific society at the center of research on language technology, from translation software to chatbots. It runs the field's leading conferences and a free online archive of their papers.. Reviewing runs on OpenReviewOpenReview, prop. n.: A website where conference papers are submitted and peer reviewed; for some conferences, anyone can read the reviews and the authors' replies.. Within two years it had become one of the main venues for large language modellarge language model, n.: A computer program trained on enormous amounts of text to predict the words that come next. At vast scale, that simple skill lets it chat, answer questions, translate, summarize and write code. research.