Large Concept Models: Language Modeling in a Sentence Representation Space | #ai #2024 #genai

Paper: https://scontent-dfw5-1.xx.fbcdn.net/... This research paper introduces Large Concept Models (LCMs), a novel approach to language modeling that operates on sentence embeddings instead of individual tokens. LCMs aim to mimic human-like abstract reasoning by processing information at a higher semantic level, enabling improved handling of long-form text generation and zero-shot multilingual capabilities. The authors explore various LCM architectures, including MSE regression, diffusion-based generation, and quantized models, evaluating their performance on summarization, summary expansion, and cross-lingual tasks. The study demonstrates that diffusion-based LCMs outperform other methods, exhibiting impressive zero-shot generalization across multiple languages. Finally, the authors propose extending the LCM framework with a high-level planning model to further enhance coherence in long-form text generation. #ai, #artificialintelligence, #arxiv, #research, #paper, #publication, #llm, #genai, #generativeai, #largevisualmodels, #largelanguagemodels, #largemultimodalmodels, #nlp, #text, #machinelearning, #ml, #nvidia, #openai, #anthropic, #microsoft, .css-j9qmi7{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;font-weight:700;margin-bottom:1rem;margin-top:2.8rem;width:100%;-webkit-box-pack:start;-ms-flex-pack:start;-webkit-justify-content:start;justify-content:start;padding-left:5rem;}@media only screen and (max-width: 599px){.css-j9qmi7{padding-left:0;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;}}.css-j9qmi7 svg{fill:#27292D;}.css-j9qmi7 .eagfbvw0{-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;color:#27292D;}