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Large language models (LLMs) are a special class of pretrained language models obtained by scaling model size, pretraining corpus and computation. LLMs, because of their large size and pretraining on large volumes of text data, exhibit…

Computation and Language · Computer Science 2023-10-20 Katikapalli Subramanyam Kalyan

The recent progress of large language models (LLMs), including ChatGPT and GPT-4, in comprehending and responding to human instructions has been remarkable. Nevertheless, these models typically perform better in English and have not been…

Computation and Language · Computer Science 2023-04-18 Honglin Xiong , Sheng Wang , Yitao Zhu , Zihao Zhao , Yuxiao Liu , Linlin Huang , Qian Wang , Dinggang Shen

This paper presents a comprehensive survey of ChatGPT-related (GPT-3.5 and GPT-4) research, state-of-the-art large language models (LLM) from the GPT series, and their prospective applications across diverse domains. Indeed, key innovations…

Large language models (LLMs) have demonstrated impressive performance on various downstream tasks without requiring fine-tuning, including ChatGPT, a chat-based model built on top of LLMs such as GPT-3.5 and GPT-4. Despite having a lower…

Computation and Language · Computer Science 2023-06-29 Zaid Alyafeai , Maged S. Alshaibani , Badr AlKhamissi , Hamzah Luqman , Ebrahim Alareqi , Ali Fadel

Large Language Models (LLMs) have drawn a lot of attention due to their strong performance on a wide range of natural language tasks, since the release of ChatGPT in November 2022. LLMs' ability of general-purpose language understanding and…

Computation and Language · Computer Science 2025-03-25 Shervin Minaee , Tomas Mikolov , Narjes Nikzad , Meysam Chenaghlu , Richard Socher , Xavier Amatriain , Jianfeng Gao

We introduce GLM-4-Voice, an intelligent and human-like end-to-end spoken chatbot. It supports both Chinese and English, engages in real-time voice conversations, and varies vocal nuances such as emotion, intonation, speech rate, and…

Computation and Language · Computer Science 2024-12-04 Aohan Zeng , Zhengxiao Du , Mingdao Liu , Kedong Wang , Shengmin Jiang , Lei Zhao , Yuxiao Dong , Jie Tang

Large Language Models (LLMs) have revo lutionized natural language processing Natural Language Processing (NLP), with Chat Generative Pre-trained Transformer (ChatGPT) standing out as a notable exampledue to its advanced capabilities and…

Computation and Language · Computer Science 2025-03-25 Azim Akhtarshenas , Afshin Dini , Navid Ayoobi

Purpose: To assess the alignment of GPT-4-based evaluation to human clinician experts, for the evaluation of responses to ophthalmology-related patient queries generated by fine-tuned LLM chatbots. Methods: 400 ophthalmology questions and…

Artificial Intelligence · Computer Science 2024-02-16 Ting Fang Tan , Kabilan Elangovan , Liyuan Jin , Yao Jie , Li Yong , Joshua Lim , Stanley Poh , Wei Yan Ng , Daniel Lim , Yuhe Ke , Nan Liu , Daniel Shu Wei Ting

Large language models (LLMs) have demonstrated remarkable potential in handling multilingual machine translation (MMT). In this paper, we systematically investigate the advantages and challenges of LLMs for MMT by answering two questions:…

Computation and Language · Computer Science 2024-06-17 Wenhao Zhu , Hongyi Liu , Qingxiu Dong , Jingjing Xu , Shujian Huang , Lingpeng Kong , Jiajun Chen , Lei Li

The disruptive technology provided by large-scale pre-trained language models (LLMs) such as ChatGPT or GPT-4 has received significant attention in several application domains, often with an emphasis on high-level opportunities and…

Human-Computer Interaction · Computer Science 2023-06-27 Philippe J. Giabbanelli

The strategic significance of Large Language Models (LLMs) in economic expansion, innovation, societal development, and national security has been increasingly recognized since the advent of ChatGPT. This study provides a comprehensive…

Computation and Language · Computer Science 2024-05-22 Zhenhui Jiang , Jiaxin Li , Yang Liu

This study is a pioneering endeavor to investigate the capabilities of Large Language Models (LLMs) in addressing conceptual questions within the domain of mechanical engineering with a focus on mechanics. Our examination involves a…

Computation and Language · Computer Science 2024-01-25 Jie Tian , Jixin Hou , Zihao Wu , Peng Shu , Zhengliang Liu , Yujie Xiang , Beikang Gu , Nicholas Filla , Yiwei Li , Ning Liu , Xianyan Chen , Keke Tang , Tianming Liu , Xianqiao Wang

Over the last few years, large language models (LLMs) have emerged as the most important breakthroughs in natural language processing (NLP) that fundamentally transform research and developments in the field. ChatGPT represents one of the…

Computation and Language · Computer Science 2023-04-13 Viet Dac Lai , Nghia Trung Ngo , Amir Pouran Ben Veyseh , Hieu Man , Franck Dernoncourt , Trung Bui , Thien Huu Nguyen

ChatGLM is a free-to-use AI service powered by the ChatGLM family of large language models (LLMs). In this paper, we present the ChatGLM-RLHF pipeline -- a reinforcement learning from human feedback (RLHF) system -- designed to enhance…

Computation and Language · Computer Science 2024-04-04 Zhenyu Hou , Yilin Niu , Zhengxiao Du , Xiaohan Zhang , Xiao Liu , Aohan Zeng , Qinkai Zheng , Minlie Huang , Hongning Wang , Jie Tang , Yuxiao Dong

Large Language Models (LLMs) are advanced Artificial Intelligence (AI) systems that have undergone extensive training using large datasets in order to understand and produce language that closely resembles that of humans. These models have…

Software Engineering · Computer Science 2023-08-10 Alessio Buscemi

Pre-trained language models (PTLMs) have transformed natural language processing (NLP), enabling major advances in tasks such as text generation and translation. Similar to software package management, PTLMs are developed using code and…

Software Engineering · Computer Science 2026-01-27 Adekunle Ajibode , Abdul Ali Bangash , Oussama Ben Sghaier , Bram Adams , Ahmed E. Hassan

Large language models (LLMs) have demonstrated prowess in a wide range of tasks. However, many LLMs exhibit significant performance discrepancies between high- and low-resource languages. To mitigate this challenge, we present FuxiTranyu,…

Computation and Language · Computer Science 2024-10-29 Haoran Sun , Renren Jin , Shaoyang Xu , Leiyu Pan , Supryadi , Menglong Cui , Jiangcun Du , Yikun Lei , Lei Yang , Ling Shi , Juesi Xiao , Shaolin Zhu , Deyi Xiong

Instruction tuning is widely recognized as a key technique for building generalist language models, which has attracted the attention of researchers and the public with the release of InstructGPT~\citep{ouyang2022training} and…

Computation and Language · Computer Science 2023-04-26 Ge Zhang , Yemin Shi , Ruibo Liu , Ruibin Yuan , Yizhi Li , Siwei Dong , Yu Shu , Zhaoqun Li , Zekun Wang , Chenghua Lin , Wenhao Huang , Jie Fu

Language is essentially a complex, intricate system of human expressions governed by grammatical rules. It poses a significant challenge to develop capable AI algorithms for comprehending and grasping a language. As a major approach,…

Lab results are often confusing and hard to understand. Large language models (LLMs) such as ChatGPT have opened a promising avenue for patients to get their questions answered. We aim to assess the feasibility of using LLMs to generate…

Computation and Language · Computer Science 2024-04-23 Zhe He , Balu Bhasuran , Qiao Jin , Shubo Tian , Karim Hanna , Cindy Shavor , Lisbeth Garcia Arguello , Patrick Murray , Zhiyong Lu
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