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Large Language Models (LLMs) such as ChatGPT demonstrated the potential to replicate human language abilities through technology, ranging from text generation to engaging in conversations. However, it remains controversial to what extent…

计算与语言 · 计算机科学 2025-07-09 Martin Schuele

Large Language Models (LLMs) have achieved unprecedented performance on many complex tasks, being able, for example, to answer questions on almost any topic. However, they struggle with other simple tasks, such as counting the occurrences…

计算与语言 · 计算机科学 2024-12-30 Tairan Fu , Raquel Ferrando , Javier Conde , Carlos Arriaga , Pedro Reviriego

Recent development of large language models (LLMs), such as ChatGPT has been widely applied to a wide range of software engineering tasks. Many papers have reported their analysis on the potential advantages and limitations of ChatGPT for…

软件工程 · 计算机科学 2023-09-18 Priyanka Mudgal , Rita Wouhaybi

Large Language Models (LLMs) have had considerable difficulty when prompted with mathematical questions, especially those within theory of computing (ToC) courses. In this paper, we detail two experiments regarding our own ToC course and…

计算机与社会 · 计算机科学 2024-07-11 Matei A. Golesteanu , Garrett B. Vowinkel , Ryan E. Dougherty

Large language models (LLMs) such as ChatGPT and GPT-4 have recently demonstrated their remarkable abilities of communicating with human users. In this technical report, we take an initiative to investigate their capacities of playing text…

计算与语言 · 计算机科学 2025-04-01 Chen Feng Tsai , Xiaochen Zhou , Sierra S. Liu , Jing Li , Mo Yu , Hongyuan Mei

The progress of Large Language Models (LLMs) like ChatGPT raises the question of how they can be integrated into education. One hope is that they can support mathematics learning, including word-problem solving. Since LLMs can handle…

计算与语言 · 计算机科学 2025-08-12 Anselm R. Strohmaier , Wim Van Dooren , Kathrin Seßler , Brian Greer , Lieven Verschaffel

Large language models (LLMs) such as ChatGPT have received immense interest for their general-purpose language understanding and, in particular, their ability to generate high-quality text or computer code. For many professions, LLMs…

计算与语言 · 计算机科学 2024-04-03 Simon Frieder , Julius Berner , Philipp Petersen , Thomas Lukasiewicz

Large language models (LLMs) have made significant progress in NLP. However, their ability to memorize, represent, and leverage commonsense knowledge has been a well-known pain point. In this paper, we specifically focus on ChatGPT, a…

计算与语言 · 计算机科学 2024-04-22 Ning Bian , Xianpei Han , Le Sun , Hongyu Lin , Yaojie Lu , Ben He , Shanshan Jiang , Bin Dong

Large Language Models (LLMs) show remarkable performance on a wide variety of tasks. Most LLMs split text into multi-character tokens and process them as atomic units without direct access to individual characters. This raises the question:…

计算与语言 · 计算机科学 2024-10-03 Lukas Edman , Helmut Schmid , Alexander Fraser

Large Language Models (LLMs) offer numerous applications, the full extent of which is not yet understood. This paper investigates if LLMs can be applied for editing structured and semi-structured documents with minimal effort. Using a…

机器学习 · 计算机科学 2024-09-16 Irene Weber

The development of large language models (LLMs) such as ChatGPT has brought a lot of attention recently. However, their evaluation in the benchmark academic datasets remains under-explored due to the difficulty of evaluating the generative…

Although several methods were proposed to address the problem of automated essay scoring (AES) in the last 50 years, there is still much to desire in terms of effectiveness. Large Language Models (LLMs) are transformer-based models that…

计算与语言 · 计算机科学 2024-04-17 Watheq Mansour , Salam Albatarni , Sohaila Eltanbouly , Tamer Elsayed

Large Language Models (LLMs), such as ChatGPT, have taken the world by storm and have passed certain forms of the Turing test. However, LLMs are not limited to human language and analyze sequential data, such as DNA, protein, and gene…

基因组学 · 定量生物学 2024-01-08 Hilbert Yuen In Lam , Xing Er Ong , Marek Mutwil

Evaluating the capabilities of Large Language Models (LLMs) to assist teachers and students in educational tasks is receiving increasing attention. In this paper, we assess ChatGPT's capacities to solve and grade real programming exams,…

人工智能 · 计算机科学 2025-03-21 Pablo Saborido-Fernández , Marcos Fernández-Pichel , David E. Losada

Scientific workflow systems are increasingly popular for expressing and executing complex data analysis pipelines over large datasets, as they offer reproducibility, dependability, and scalability of analyses by automatic parallelization on…

分布式、并行与集群计算 · 计算机科学 2024-07-09 Mario Sänger , Ninon De Mecquenem , Katarzyna Ewa Lewińska , Vasilis Bountris , Fabian Lehmann , Ulf Leser , Thomas Kosch

Large Language Models (LLMs) have emerged as influential instruments within the realm of natural language processing; nevertheless, their capacity to handle multi-party conversations (MPCs) -- a scenario marked by the presence of multiple…

计算与语言 · 计算机科学 2023-10-26 Chao-Hong Tan , Jia-Chen Gu , Zhen-Hua Ling

Large Language Models (LLMs), exemplified by ChatGPT, have significantly reshaped text generation, particularly in the realm of writing assistance. While ethical considerations underscore the importance of transparently acknowledging LLM…

信息检索 · 计算机科学 2025-09-03 Teddy Lazebnik , Ariel Rosenfeld

Large language models (LLMs) such as ChatGPT have demonstrated superior performance on a variety of natural language processing (NLP) tasks including sentiment analysis, mathematical reasoning and summarization. Furthermore, since these…

计算与语言 · 计算机科学 2023-10-18 Shiyuan Huang , Siddarth Mamidanna , Shreedhar Jangam , Yilun Zhou , Leilani H. Gilpin

Large Language Models (LLM) have become sophisticated enough that complex computer programs can be created through interpretation of plain English sentences and implemented in a variety of modern languages such as Python, Java Script, C++…

软件工程 · 计算机科学 2023-09-04 Simon Thorne

For a natural language problem that requires some non-trivial reasoning to solve, there are at least two ways to do it using a large language model (LLM). One is to ask it to solve it directly. The other is to use it to extract the facts…

人工智能 · 计算机科学 2023-04-05 Fangzhen Lin , Ziyi Shou , Chengcai Chen
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