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Humor is a central aspect of human communication that has not been solved for artificial agents so far. Large language models (LLMs) are increasingly able to capture implicit and contextual information. Especially, OpenAI's ChatGPT recently…

Artificial Intelligence · Computer Science 2023-06-08 Sophie Jentzsch , Kristian Kersting

(Tack et al., 2023) organized the shared task hosted by the 18th Workshop on Innovative Use of NLP for Building Educational Applications on generation of teacher language in educational dialogues. Following the structure of the shared task,…

Computation and Language · Computer Science 2023-11-14 Yann Hicke , Abhishek Masand , Wentao Guo , Tushaar Gangavarapu

Pre-trained large language models, such as ChatGPT, archive outstanding performance in various reasoning tasks without supervised training and were found to have outperformed crowdsourcing workers. Nonetheless, ChatGPT's performance in the…

Computation and Language · Computer Science 2024-02-08 Frances Yung , Mansoor Ahmad , Merel Scholman , Vera Demberg

We analyzed effectiveness of three generative pre-trained transformer (GPT) models in answering multiple-choice question (MCQ) assessments, often involving short snippets of code, from introductory and intermediate programming courses at…

Computation and Language · Computer Science 2023-03-15 Jaromir Savelka , Arav Agarwal , Christopher Bogart , Majd Sakr

In late 2022, OpenAI released a new version of ChatGPT, a sophisticated natural language processing system capable of holding natural conversations while preserving and responding to the context of the discussion. ChatGPT has exceeded…

Computers and Society · Computer Science 2023-07-04 Kamil Malinka , Martin Perešíni , Anton Firc , Ondřej Hujňák , Filip Januš

This study investigates the application effectiveness of the Large Language Model (LLMs) ChatGLM in the automated generation of high school information technology exam questions. Through meticulously designed prompt engineering strategies,…

Computers and Society · Computer Science 2024-08-22 Yanxin Chen , Ling He

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

ChatGPT and other large language models (LLMs) promise to revolutionize software development by automatically generating code from program specifications. We assess the performance of ChatGPT's GPT-3.5-turbo model on LeetCode, a popular…

Software Engineering · Computer Science 2024-11-13 Minda Li , Bhaskar Krishnamachari

Recent announcements from frontier AI model labs have highlighted strong results on high-school and undergraduate math competitions. Yet it remains unclear whether large language models can solve new, simple conjectures in more advanced…

Artificial Intelligence · Computer Science 2025-09-24 Moran Feldman , Amin Karbasi

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…

This report describes a test of the large language model GPT-4 with the Wolfram Alpha and the Code Interpreter plug-ins on 105 original problems in science and math, at the high school and college levels, carried out in June-August 2023.…

Artificial Intelligence · Computer Science 2025-02-21 Ernest Davis , Scott Aaronson

Large language models (LLMs) implicitly learn to perform a range of language tasks, including machine translation (MT). Previous studies explore aspects of LLMs' MT capabilities. However, there exist a wide variety of languages for which…

Computation and Language · Computer Science 2023-09-15 Nathaniel R. Robinson , Perez Ogayo , David R. Mortensen , Graham Neubig

ChatGPT is a large language model developed by OpenAI. Despite its impressive performance across various tasks, no prior work has investigated its capability in the biomedical domain yet. To this end, this paper aims to evaluate the…

Computation and Language · Computer Science 2023-08-25 Israt Jahan , Md Tahmid Rahman Laskar , Chun Peng , Jimmy Huang

In computer science, students are encouraged to learn various programming languages such as Python, C++, and Java, equipping them with a broad range of technical skills and problem-solving capabilities. Nevertheless, the design of objective…

Programming Languages · Computer Science 2026-03-17 Jongwook Si , Sungyoung Kim

Large Language Models (LLMs) could be a useful tool for lawyers. However, empirical research on their effectiveness in conducting legal tasks is scant. We study securities cases involving cryptocurrencies as one of numerous contexts where…

Artificial Intelligence · Computer Science 2024-02-23 Arianna Trozze , Toby Davies , Bennett Kleinberg

The performance of text summarization has been greatly boosted by pre-trained language models. A main concern of existing methods is that most generated summaries are not factually inconsistent with their source documents. To alleviate the…

Computation and Language · Computer Science 2023-04-14 Zheheng Luo , Qianqian Xie , Sophia Ananiadou

Large-scale language models (LLMs), such as ChatGPT, are becoming increasingly sophisticated and exhibit human-like capabilities, playing an essential role in assisting humans in a variety of everyday tasks. An important application of AI…

Computers and Society · Computer Science 2023-12-07 Yugen Sato , Taisei Nakajima , Tatsuki Kawamoto , Tomohiro Takagi

Large language models such as ChatGPT-3.5 and GPT-4.0 are ubiquitous and dominate the current discourse. Their transformative capabilities have led to a paradigm shift in how we interact with and utilize (text-based) information. Each day,…

Computers and Society · Computer Science 2023-08-07 Tim Krüger , Michael Gref

This study critically evaluates the efficacy of prompting methods in enhancing the mathematical reasoning capability of large language models (LLMs). The investigation uses three prescriptive prompting methods - simple, persona, and…

Large Language Models, such as Generative Pre-trained Transformer 3 (aka. GPT-3), have been developed to understand language through the analysis of extensive text data, allowing them to identify patterns and connections between words.…

Computation and Language · Computer Science 2023-10-03 Baphumelele Masikisiki , Vukosi Marivate , Yvette Hlope
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