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Related papers: ChatGPT is a Potential Zero-Shot Dependency Parser

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Evaluating the quality of generated text is a challenging task in NLP, due to the inherent complexity and diversity of text. Recently, large language models (LLMs) have garnered significant attention due to their impressive performance in…

Computation and Language · Computer Science 2023-09-19 Yi Chen , Rui Wang , Haiyun Jiang , Shuming Shi , Ruifeng Xu

ChatGPT is an advanced natural language processing tool with growing applications across various disciplines in medical research. Thematic analysis, a qualitative research method to identify and interpret patterns in data, is one…

Computation and Language · Computer Science 2025-05-08 V Vien Lee , Stephanie C. C. van der Lubbe , Lay Hoon Goh , Jose M. Valderas

ChatGPT is a generative pretrained transformer language model created using artificial intelligence implemented as chatbot which can provide very detailed responses to a wide variety of questions. As a very contemporary phenomenon, this…

Cryptography and Security · Computer Science 2023-07-14 Sheetal Temara

While large language models have made strides in natural language processing, their proficiency in complex reasoning tasks requiring formal language comprehension, such as chess, remains less investigated. This paper probes the performance…

Computation and Language · Computer Science 2023-08-30 Mu-Tien Kuo , Chih-Chung Hsueh , Richard Tzong-Han Tsai

In this paper, we investigate the use of data obtained from prompting a large generative language model, ChatGPT, to generate synthetic training data with the aim of augmenting data in low resource scenarios. We show that with appropriate…

Artificial Intelligence · Computer Science 2023-04-28 Solomon Ubani , Suleyman Olcay Polat , Rodney Nielsen

Large language models (LLMs) exhibited powerful capability in various natural language processing tasks. This work focuses on exploring LLM performance on zero-shot information extraction, with a focus on the ChatGPT and named entity…

Computation and Language · Computer Science 2023-10-17 Tingyu Xie , Qi Li , Jian Zhang , Yan Zhang , Zuozhu Liu , Hongwei Wang

POS tagging plays a fundamental role in numerous applications. While POS taggers are highly accurate in well-resourced settings, they lag behind in cases of limited or missing training data. This paper focuses on POS tagging for languages…

Computation and Language · Computer Science 2024-10-15 Zeno Vandenbulcke , Lukas Vermeire , Miryam de Lhoneux

We observe that pre-trained large language models (LLMs) are capable of autoregressively completing complex token sequences -- from arbitrary ones procedurally generated by probabilistic context-free grammars (PCFG), to more rich spatial…

Artificial Intelligence · Computer Science 2023-10-27 Suvir Mirchandani , Fei Xia , Pete Florence , Brian Ichter , Danny Driess , Montserrat Gonzalez Arenas , Kanishka Rao , Dorsa Sadigh , Andy Zeng

The emergence of an AI-powered chatbot that can generate human-like sentences and write coherent essays has caught the world's attention. This paper discusses the historical overview of chatbots and the technology behind Chat Generative…

Computation and Language · Computer Science 2023-08-11 Sakib Shahriar , Kadhim Hayawi

The emergence of ChatGPT has recently garnered significant attention from the computational linguistics community. To demonstrate its capabilities as a keyphrase generator, we conduct a preliminary evaluation of ChatGPT for the keyphrase…

Computation and Language · Computer Science 2023-12-25 Mingyang Song , Haiyun Jiang , Shuming Shi , Songfang Yao , Shilong Lu , Yi Feng , Huafeng Liu , Liping Jing

Tags are pivotal in facilitating the effective distribution of multimedia content in various applications in the contemporary Internet era, such as search engines and recommendation systems. Recently, large language models (LLMs) have…

Information Retrieval · Computer Science 2023-04-07 Chen Li , Yixiao Ge , Jiayong Mao , Dian Li , Ying Shan

Recommendation systems have witnessed significant advancements and have been widely used over the past decades. However, most traditional recommendation methods are task-specific and therefore lack efficient generalization ability.…

Information Retrieval · Computer Science 2023-10-30 Junling Liu , Chao Liu , Peilin Zhou , Renjie Lv , Kang Zhou , Yan Zhang

Large Language Models (LLMs) have demonstrated remarkable zero-shot generalization across various language-related tasks, including search engines. However, existing work utilizes the generative ability of LLMs for Information Retrieval…

Computation and Language · Computer Science 2024-12-31 Weiwei Sun , Lingyong Yan , Xinyu Ma , Shuaiqiang Wang , Pengjie Ren , Zhumin Chen , Dawei Yin , Zhaochun Ren

Large language models (LLMs) like ChatGPT (i.e., gpt-3.5-turbo and gpt-4) exhibited remarkable advancement in a range of software engineering tasks associated with source code such as code review and code generation. In this paper, we…

Software Engineering · Computer Science 2023-10-17 Michael Fu , Chakkrit Tantithamthavorn , Van Nguyen , Trung Le

Despite the surging demands for multilingual task-oriented dialog systems (e.g., Alexa, Google Home), there has been less research done in multilingual or cross-lingual scenarios. Hence, we propose a zero-shot adaptation of task-oriented…

Computation and Language · Computer Science 2019-11-12 Zihan Liu , Jamin Shin , Yan Xu , Genta Indra Winata , Peng Xu , Andrea Madotto , Pascale Fung

Large language models (LLMs) such as ChatGPT are increasingly being used for various use cases, including text content generation at scale. Although detection methods for such AI-generated text exist already, we investigate ChatGPT's…

Computation and Language · Computer Science 2023-08-21 Amrita Bhattacharjee , Huan Liu

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…

Computation and Language · Computer Science 2023-04-03 Brady Lund , Ting Wang , Nishith Reddy Mannuru , Bing Nie , Somipam Shimray , Ziang Wang

Retrained large language models (LLMs) have become extensively used across various sub-disciplines of natural language processing (NLP). In NLP, text classification problems have garnered considerable focus, but still faced with some…

Computation and Language · Computer Science 2023-12-05 Zhiqiang Wang , Yiran Pang , Yanbin Lin

Ever since the emergence of large language models (LLMs) and related applications, such as ChatGPT, its performance and error analysis for programming tasks have been subject to research. In this work-in-progress paper, we explore the…

Artificial Intelligence · Computer Science 2023-09-04 Natalie Kiesler , Dominic Lohr , Hieke Keuning

This report presents a study on the emotional dialogue capability of ChatGPT, an advanced language model developed by OpenAI. The study evaluates the performance of ChatGPT on emotional dialogue understanding and generation through a series…

Computation and Language · Computer Science 2023-04-20 Weixiang Zhao , Yanyan Zhao , Xin Lu , Shilong Wang , Yanpeng Tong , Bing Qin