English
Related papers

Related papers: GPT-ology, Computational Models, Silicon Sampling:…

200 papers

Accurate and verifiable large language model (LLM) simulations of human research subjects promise an accessible data source for understanding human behavior and training new AI systems. However, results to date have been limited, and few…

Human-Computer Interaction · Computer Science 2025-06-06 Jacy Reese Anthis , Ryan Liu , Sean M. Richardson , Austin C. Kozlowski , Bernard Koch , James Evans , Erik Brynjolfsson , Michael Bernstein

To address challenges in the digital economy's landscape of digital intelligence, large language models (LLMs) have been developed. Improvements in computational power and available resources have significantly advanced LLMs, allowing their…

Computation and Language · Computer Science 2024-05-24 Yanxin Zheng , Wensheng Gan , Zefeng Chen , Zhenlian Qi , Qian Liang , Philip S. Yu

Large language models (LLMs) have not only revolutionized the field of natural language processing (NLP) but also have the potential to bring a paradigm shift in many other fields due to their remarkable abilities of language understanding,…

Information Retrieval · Computer Science 2024-10-29 Qi Wang , Jindong Li , Shiqi Wang , Qianli Xing , Runliang Niu , He Kong , Rui Li , Guodong Long , Yi Chang , Chengqi Zhang

Large language models (LLM) are advanced AI systems trained on extensive textual data, leveraging deep learning techniques to understand and generate human-like language. Today's LLMs with billions of parameters are so huge that hardly any…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-14 Sheikh Azizul Hakim , Saem Hasan

Large Language Models (LLMs) possess substantial reasoning capabilities and are increasingly applied to optimization tasks, particularly in synergy with evolutionary computation. However, while recent surveys have explored specific aspects…

Neural and Evolutionary Computing · Computer Science 2026-01-08 Yisong Zhang , Ran Cheng , Guoxing Yi , Kay Chen Tan

Large language models (LLMs) have become the secret ingredient driving numerous industrial applications, showcasing their remarkable versatility across a diverse spectrum of tasks. From natural language processing and sentiment analysis to…

As large language models (LLMs) increasingly exhibit human-like capabilities, a fundamental question emerges: How can we enable LLMs to learn the underlying patterns from limited examples in entirely novel environments and apply them…

Computation and Language · Computer Science 2025-09-23 Brian S. Lin , Jiaxin Yuan , Zihan Zhou , Shouli Wang , Shuo Wang , Cunliang Kong , Qi Shi , Yuxuan Li , Liner Yang , Zhiyuan Liu , Maosong Sun

Large Language Models (LLMs) have drawn widespread attention and research due to their astounding performance in text generation and reasoning tasks. Derivative products, like ChatGPT, have been extensively deployed and highly sought after.…

Software Engineering · Computer Science 2024-12-11 Zibin Zheng , Kaiwen Ning , Qingyuan Zhong , Jiachi Chen , Wenqing Chen , Lianghong Guo , Weicheng Wang , Yanlin Wang

Artificial Intelligence (AI) is increasingly being integrated into scientific research, particularly in the social sciences, where understanding human behavior is critical. Large Language Models (LLMs) have shown promise in replicating…

Computation and Language · Computer Science 2025-06-23 Ziyan Cui , Ning Li , Huaikang Zhou

Reasoning is a fundamental aspect of human intelligence that plays a crucial role in activities such as problem solving, decision making, and critical thinking. In recent years, large language models (LLMs) have made significant progress in…

Computation and Language · Computer Science 2023-05-29 Jie Huang , Kevin Chen-Chuan Chang

Large Language Models (LLMs) have shown powerful performance and development prospects and are widely deployed in the real world. However, LLMs can capture social biases from unprocessed training data and propagate the biases to downstream…

Computation and Language · Computer Science 2024-02-22 Yingji Li , Mengnan Du , Rui Song , Xin Wang , Ying Wang

Large Language Models (LLMs) are revolutionizing bioinformatics, enabling advanced analysis of DNA, RNA, proteins, and single-cell data. This survey provides a systematic review of recent advancements, focusing on genomic sequence modeling,…

Computation and Language · Computer Science 2026-03-03 Zhenyu Wang , Zikang Wang , Jiyue Jiang , Pengan Chen , Xiangyu Shi , Yu Li

Large language models (LLMs) show increasingly advanced emergent capabilities and are being incorporated across various societal domains. Understanding their behavior and reasoning abilities therefore holds significant importance. We argue…

Computation and Language · Computer Science 2024-08-09 Thilo Hagendorff , Ishita Dasgupta , Marcel Binz , Stephanie C. Y. Chan , Andrew Lampinen , Jane X. Wang , Zeynep Akata , Eric Schulz

This paper is under review in AI and Ethics This study examines whether large language models (LLMs) can reliably answer scientific questions and demonstrates how easily they can be influenced by fringe scientific material. The authors…

Computers and Society · Computer Science 2026-04-29 Harry Collins , Hartmut Grote , Paul Newbury , Patrick Sutton , Simon Thorne

Large Language Models (LLMs) are starting to be profiled as one of the most significant disruptions in the Software Testing field. Specifically, they have been successfully applied in software testing tasks such as generating test code, or…

Software Engineering · Computer Science 2025-09-30 Cristian Augusto , Antonia Bertolino , Guglielmo De Angelis , Francesca Lonetti , Jesús Morán

Large language models (LLMs) have emerged as powerful tools in chemistry, significantly impacting molecule design, property prediction, and synthesis optimization. This review highlights LLM capabilities in these domains and their potential…

Machine Learning · Computer Science 2024-11-18 Mayk Caldas Ramos , Christopher J. Collison , Andrew D. White

Though large language models (LLMs) have enabled great success across a wide variety of tasks, they still appear to fall short of one of the loftier goals of artificial intelligence research: creating an artificial system that can adapt its…

Computation and Language · Computer Science 2026-05-04 Michael A. Lepori , Tal Linzen , Ann Yuan , Katja Filippova

Large Language Models (LLMs), typified by OpenAI's GPT, have marked a significant advancement in artificial intelligence. Trained on vast amounts of text data, LLMs are capable of understanding and generating human-like text across a…

Artificial Intelligence · Computer Science 2024-10-29 Haochen Zhang , Yuyang Dong , Chuan Xiao , Masafumi Oyamada

Collecting diverse human opinions is costly and challenging. This leads to a recent trend in exploiting large language models (LLMs) for generating diverse data for potential scalable and efficient solutions. However, the extent to which…

Computation and Language · Computer Science 2024-10-15 Shirley Anugrah Hayati , Minhwa Lee , Dheeraj Rajagopal , Dongyeop Kang

Large Language Models (LLMs) stand at the forefront of a number of Natural Language Processing (NLP) tasks. Despite the widespread adoption of LLMs in NLP, much of their potential in broader fields remains largely unexplored, and…

Machine Learning · Computer Science 2024-03-11 Zhiqiang Zhong , Kuangyu Zhou , Davide Mottin
‹ Prev 1 8 9 10 Next ›