GPTEval: A survey on assessments of ChatGPT and GPT-4

R Mao, G Chen, X Zhang, F Guerin… - arxiv preprint arxiv …, 2023 - arxiv.org
The emergence of ChatGPT has generated much speculation in the press about its potential
to disrupt social and economic systems. Its astonishing language ability has aroused strong …

Advancing entity recognition in biomedicine via instruction tuning of large language models

VK Keloth, Y Hu, Q **e, X Peng, Y Wang… - …, 2024 - academic.oup.com
Abstract Motivation Large Language Models (LLMs) have the potential to revolutionize the
field of Natural Language Processing, excelling not only in text generation and reasoning …

[PDF][PDF] From ChatGPT-3 to GPT-4: a significant advancement in ai-driven NLP tools

MS Rahaman, MMT Ahsan, N Anjum… - … of Engineering and …, 2023 - researchgate.net
From ChatGPT-3 to GPT-4: A Significant Advancement in AI-Driven NLP Tools Page 1
Received April 2023; Revised April 2023; Accepted May 2023 DOI: 10.52631/jeet.v2i1.188 …

ChatGPT vs human-authored text: Insights into controllable text summarization and sentence style transfer

D Pu, V Demberg - arxiv preprint arxiv:2306.07799, 2023 - arxiv.org
Large-scale language models, like ChatGPT, have garnered significant media attention and
stunned the public with their remarkable capacity for generating coherent text from short …

Large language models meet nlp: A survey

L Qin, Q Chen, X Feng, Y Wu, Y Zhang, Y Li… - arxiv preprint arxiv …, 2024 - arxiv.org
While large language models (LLMs) like ChatGPT have shown impressive capabilities in
Natural Language Processing (NLP) tasks, a systematic investigation of their potential in this …

ChatGPT and GPT-4 for professional translators: Exploring the potential of large language models in translation

SC Siu - Available at SSRN 4448091, 2023 - papers.ssrn.com
ChatGPT, an AI chatbot developed by OpenAI and powered by advanced large language
models, has attracted significant interest across a range of industries. With the more recent …

Cross-lingual knowledge editing in large language models

J Wang, Y Liang, Z Sun, Y Cao, J Xu… - arxiv preprint arxiv …, 2023 - arxiv.org
Knowledge editing aims to change language models' performance on several special cases
(ie, editing scope) by infusing the corresponding expected knowledge into them. With the …

Definitions matter: Guiding GPT for multi-label classification

Y Peskine, D Korenčić, I Grubisic, P Papotti… - … 2023, Conference on …, 2023 - hal.science
Large language models have recently risen in popularity due to their ability to perform many
natural language tasks without requiring any fine-tuning. In this work, we focus on two novel …

Continual learning with semi-supervised contrastive distillation for incremental neural machine translation

Y Liang, F Meng, J Wang, J Xu, Y Chen… - Proceedings of the …, 2024 - aclanthology.org
Incrementally expanding the capability of an existing translation model to solve new domain
tasks over time is a fundamental and practical problem, which usually suffers from …

Uncovering the causes of emotions in software developer communication using zero-shot llms

MM Imran, P Chatterjee, K Damevski - Proceedings of the IEEE/ACM …, 2024 - dl.acm.org
Understanding and identifying the causes behind developers' emotions (eg, Frustration
caused by'delays in merging pull requests') can be crucial towards finding solutions to …