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Developed by OpenAI, ChatGPT (Conditional Generative Pre-trained Transformer) is an artificial intelligence technology that is fine-tuned using supervised machine learning and reinforcement learning techniques, allowing a computer to…

Multi-modal large language models are regarded as a crucial step towards Artificial General Intelligence (AGI) and have garnered significant interest with the emergence of ChatGPT. However, current speech-language models typically adopt the…

计算与语言 · 计算机科学 2023-05-22 Dong Zhang , Shimin Li , Xin Zhang , Jun Zhan , Pengyu Wang , Yaqian Zhou , Xipeng Qiu

The GPT (Generative Pre-trained Transformer) language models are an artificial intelligence and natural language processing technology that enables automatic text generation. There is a growing interest in applying GPT language models to…

计算机与社会 · 计算机科学 2024-03-25 Manuel de Buenaga , Francisco Javier Bueno

Pre-trained language models have attracted increasing attention in the biomedical domain, inspired by their great success in the general natural language domain. Among the two main branches of pre-trained language models in the general…

计算与语言 · 计算机科学 2023-04-04 Renqian Luo , Liai Sun , Yingce Xia , Tao Qin , Sheng Zhang , Hoifung Poon , Tie-Yan Liu

We present a large, tunable neural conversational response generation model, DialoGPT (dialogue generative pre-trained transformer). Trained on 147M conversation-like exchanges extracted from Reddit comment chains over a period spanning…

计算与语言 · 计算机科学 2020-05-05 Yizhe Zhang , Siqi Sun , Michel Galley , Yen-Chun Chen , Chris Brockett , Xiang Gao , Jianfeng Gao , Jingjing Liu , Bill Dolan

Generative Pre-trained Transformer (GPT) is a state-of-the-art machine learning model capable of generating human-like text through natural language processing (NLP). GPT is trained on massive amounts of text data and uses deep learning…

Large language models such as GPT-3 (Brown et al., 2020) can perform arbitrary tasks without undergoing fine-tuning after being prompted with only a few labeled examples. An arbitrary task can be reformulated as a natural language prompt,…

机器学习 · 计算机科学 2023-02-07 Ajay Patel , Bryan Li , Mohammad Sadegh Rasooli , Noah Constant , Colin Raffel , Chris Callison-Burch

ChatGPT has achieved remarkable success in natural language understanding. Considering that recommendation is indeed a conversation between users and the system with items as words, which has similar underlying pattern with ChatGPT, we…

信息检索 · 计算机科学 2024-04-16 Yabin Zhang , Wenhui Yu , Erhan Zhang , Xu Chen , Lantao Hu , Peng Jiang , Kun Gai

Discovery of novel and promising materials is a critical challenge in the field of chemistry and material science, traditionally approached through methodologies ranging from trial-and-error to machine learning-driven inverse design. Recent…

机器学习 · 计算机科学 2024-12-13 Dong Hyeon Mok , Seoin Back

Large language models(LLMS)have shown excellent text generation capabilities, capable of generating fluent human-like responses for many downstream tasks. However, applying large language models to real-world critical tasks remains…

计算与语言 · 计算机科学 2023-07-21 Le Xiao , Xin Shan

ChatGPT is a conversational artificial intelligence that is a member of the generative pre-trained transformer of the large language model family. This text generative model was fine-tuned by both supervised learning and reinforcement…

This paper discusses OpenAIs ChatGPT, a generative pre-trained transformer, which uses natural language processing to fulfill text-based user requests (i.e., a chatbot). The history and principles behind ChatGPT and similar models are…

计算与语言 · 计算机科学 2023-04-03 Brady Lund , Ting Wang , Nishith Reddy Mannuru , Bing Nie , Somipam Shimray , Ziang Wang

The recent large-scale text-to-speech (TTS) systems are usually grouped as autoregressive and non-autoregressive systems. The autoregressive systems implicitly model duration but exhibit certain deficiencies in robustness and lack of…

The advent of large language models, enabling flexibility through instruction-driven approaches, has revolutionized many traditional generative tasks, but large models for 3D data, particularly in comprehensively handling 3D shapes with…

计算机视觉与模式识别 · 计算机科学 2023-12-04 Fukun Yin , Xin Chen , Chi Zhang , Biao Jiang , Zibo Zhao , Jiayuan Fan , Gang Yu , Taihao Li , Tao Chen

Transformer-based language models, including ChatGPT, have demonstrated exceptional performance in various natural language generation tasks. However, there has been limited research evaluating ChatGPT's keyphrase generation ability, which…

计算与语言 · 计算机科学 2023-06-30 Roberto Martínez-Cruz , Alvaro J. López-López , José Portela

Large pre-trained language models have exhibited unprecedented capabilities in producing high-quality text via prompting techniques. This fact introduces new possibilities for data collection and annotation, particularly in situations where…

计算与语言 · 计算机科学 2023-05-25 Tiziano Labruna , Sofia Brenna , Andrea Zaninello , Bernardo Magnini

Language models (LMs) pretrained on a large text corpus and fine-tuned on a downstream text corpus and fine-tuned on a downstream task becomes a de facto training strategy for several natural language processing (NLP) tasks. Recently, an…

计算与语言 · 计算机科学 2021-07-23 Junghoon Lee , Jounghee Kim , Pilsung Kang

ChatGPT is an AI language model developed by OpenAI that can understand and generate human-like text. It can be used for a variety of use cases such as language generation, question answering, text summarization, chatbot development,…

The Generative Pre-trained Transformer (GPT) represents a notable breakthrough in the domain of natural language processing, which is propelling us toward the development of machines that can understand and communicate using language in a…

Syntactic and pragmatic completeness is known to be important for turn-taking prediction, but so far machine learning models of turn-taking have used such linguistic information in a limited way. In this paper, we introduce TurnGPT, a…

计算与语言 · 计算机科学 2020-12-10 Erik Ekstedt , Gabriel Skantze
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