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Large language models (LLMs) are dramatically influencing AI research, spurring discussions on what has changed so far and how to shape the field's future. To clarify such questions, we analyze a new dataset of 16,979 LLM-related arXiv…

Digital Libraries · Computer Science 2024-04-30 Rajiv Movva , Sidhika Balachandar , Kenny Peng , Gabriel Agostini , Nikhil Garg , Emma Pierson

While large language models (LLMs), such as GPT-3, appear to be robust and general, their reasoning ability is not at a level to compete with the best models trained for specific natural language reasoning problems. In this study, we…

Computation and Language · Computer Science 2023-07-18 Zhun Yang , Adam Ishay , Joohyung Lee

Large language models (LLMs) are being increasingly incorporated into scientific workflows. However, we have yet to fully grasp the implications of this integration. How should the advent of large language models affect the practice of…

Since its launch in late 2022, ChatGPT has ignited widespread interest in Large Language Models (LLMs) and broader Artificial Intelligence (AI) solutions. As this new wave of AI permeates various sectors of society, we are continually…

Computers and Society · Computer Science 2025-09-18 Juho Vepsäläinen , Petri Juntunen

We present a comprehensive evaluation of Large Language Models (LLMs) on Computer Science (CS) Data Structure examination questions. Our work introduces a new benchmark dataset comprising exam questions from Tel Aviv University (TAU),…

Computation and Language · Computer Science 2026-04-28 Edan Gabay , Yael Maoz , Jonathan Stahl , Naama Maoz , Abdo Amer , Orr Eilat , Hanoch Levy , Michal Kleinbort , Amir Rubinstein , Adi Haviv

Human-like large language models (LLMs), especially the most powerful and popular ones in OpenAI's GPT family, have proven to be very helpful for many natural language processing (NLP) related tasks. Therefore, various attempts have been…

Computation and Language · Computer Science 2024-09-11 Ridong Han , Chaohao Yang , Tao Peng , Prayag Tiwari , Xiang Wan , Lu Liu , Benyou Wang

Human-like large language models (LLMs), especially the most powerful and popular ones in OpenAI's GPT family, have proven to be very helpful for many natural language processing (NLP) related tasks. Therefore, various attempts have been…

Computation and Language · Computer Science 2024-09-12 Ridong Han , Chaohao Yang , Tao Peng , Prayag Tiwari , Xiang Wan , Lu Liu , Benyou Wang

Artificial Intelligence (AI) is taking on increasingly autonomous roles, e.g., browsing the web as a research assistant and managing money. But specifying goals and restrictions for AI behavior is difficult. Similar to how parties to a…

Computation and Language · Computer Science 2023-01-31 John J. Nay

The success of ChatGPT has ignited an AI race, with researchers striving to develop new large language models (LLMs) that can match or surpass the language understanding and generation abilities of commercial ones. In recent times, a number…

Computation and Language · Computer Science 2023-10-17 Shuo Sun , Yuchen Zhang , Jiahuan Yan , Yuze Gao , Donovan Ong , Bin Chen , Jian Su

Recently, significant public efforts have been directed towards developing low-cost models with capabilities akin to ChatGPT, thereby fostering the growth of open-source conversational models. However, there remains a scarcity of…

Computation and Language · Computer Science 2023-04-18 Yunjie Ji , Yan Gong , Yong Deng , Yiping Peng , Qiang Niu , Baochang Ma , Xiangang Li

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…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-09 Mario Sänger , Ninon De Mecquenem , Katarzyna Ewa Lewińska , Vasilis Bountris , Fabian Lehmann , Ulf Leser , Thomas Kosch

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

Large Language Models (LLMs) have showcased remarkable capabilities in various Natural Language Processing tasks. For automatic open-domain dialogue evaluation in particular, LLMs have been seamlessly integrated into evaluation frameworks,…

Computation and Language · Computer Science 2024-07-08 John Mendonça , Alon Lavie , Isabel Trancoso

The introduction of ChatGPT and the subsequent improvement of Large Language Models (LLMs) have prompted more and more individuals to turn to the use of ChatBots, both for information and assistance with decision-making. However, the…

Machine Learning · Computer Science 2023-08-30 Vahid Ghafouri , Vibhor Agarwal , Yong Zhang , Nishanth Sastry , Jose Such , Guillermo Suarez-Tangil

Pre-trained large language models (PLMs) have the potential to support urban science research through content creation, information extraction, assisted programming, text classification, and other technical advances. In this research, we…

Human-Computer Interaction · Computer Science 2023-05-22 Jiayi Fu , Haoying Han , Xing Su , Chao Fan

Generative Pre-trained Transformers (GPTs) have recently been scaled to unprecedented sizes in the history of machine learning. These models, solely trained on the language modeling objective, have been shown to exhibit outstanding few-shot…

Computation and Language · Computer Science 2021-08-31 Jordi Armengol-Estapé , Ona de Gibert Bonet , Maite Melero

Following the widespread adoption of ChatGPT in early 2023, numerous studies reported that large language models (LLMs) can match or even surpass human performance in creative tasks. However, it remains unclear whether LLMs have become more…

Computation and Language · Computer Science 2025-04-18 Jennifer Haase , Paul H. P. Hanel , Sebastian Pokutta

Based on one million arXiv papers submitted from May 2018 to January 2024, we assess the textual density of ChatGPT's writing style in their abstracts through a statistical analysis of word frequency changes. Our model is calibrated and…

Computation and Language · Computer Science 2024-11-11 Mingmeng Geng , Roberto Trotta

Large language models (LLMs) such as ChatGPT can produce coherent, cohesive, relevant, and fluent answers for various natural language processing (NLP) tasks. Taking document-level machine translation (MT) as a testbed, this paper provides…

Computation and Language · Computer Science 2023-10-25 Longyue Wang , Chenyang Lyu , Tianbo Ji , Zhirui Zhang , Dian Yu , Shuming Shi , Zhaopeng Tu

Large language models (LLMs), like ChatGPT, are capable of computing affectionately nuanced text that therefore can shape online interactions, including dating. This study explores how individuals experience closeness and romantic interest…

Human-Computer Interaction · Computer Science 2025-04-22 Jessica Szczuka , Lisa Mühl , Paula Ebner , Simon Dubé
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