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In recent years, Large Language Models (LLMs) have emerged as a transformative development in artificial intelligence (AI), drawing significant attention from industry and academia. Trained on vast datasets, these sophisticated AI systems…

Artificial Intelligence · Computer Science 2025-01-15 Oudom Hean , Utsha Saha , Binita Saha

Large Language Models (LLMs) like ChatGPT and GPT-4 have demonstrated impressive proficiency in comprehending and generating natural language. However, they encounter difficulties when tasked with adapting to specialized domains such as…

Computation and Language · Computer Science 2024-02-27 Jiayuan Luo , Songhua Yang , Xiaoling Qiu , Panyu Chen , Yufei Nai , Wenxuan Zeng , Wentao Zhang , Xinke Jiang

The evaluation of large language models is an essential task in the field of language understanding and generation. As language models continue to advance, the need for effective benchmarks to assess their performance has become imperative.…

Computation and Language · Computer Science 2023-10-03 Chan-Jan Hsu , Chang-Le Liu , Feng-Ting Liao , Po-Chun Hsu , Yi-Chang Chen , Da-shan Shiu

This study introduces a benchmark framework for evaluating the financial decision-making capabilities of large language models (LLMs) through portfolio optimization problems with mathematically explicit solutions. Unlike existing financial…

Portfolio Management · Quantitative Finance 2026-05-28 Hanyong Cho , Jang Ho Kim

The rapid evolution of artificial intelligence (AI), especially in the domain of Large Language Models (LLMs) and generative AI, has opened new avenues for application across various fields, yet its role in business education remains…

Computation and Language · Computer Science 2024-01-09 Vahid Ashrafimoghari , Necdet Gürkan , Jordan W. Suchow

Large language models (LLMs) are now widely used in various fields, including finance. However, Japanese financial-specific LLMs have not been proposed yet. Hence, this study aims to construct a Japanese financial-specific LLM through…

Computation and Language · Computer Science 2024-04-17 Masanori Hirano , Kentaro Imajo

Large language models are deep learning models with a large number of parameters. The models made noticeable progress on a large number of tasks, and as a consequence allowing them to serve as valuable and versatile tools for a diverse…

Software Engineering · Computer Science 2023-04-11 Maxim Vidgof , Stefan Bachhofner , Jan Mendling

Nowadays, deep neural networks are widely used in a variety of fields that have a direct impact on society. Although those models typically show outstanding performance, they have been used for a long time as black boxes. To address this,…

Machine Learning · Computer Science 2022-10-11 Huawei Sun , Lorenzo Servadei , Hao Feng , Michael Stephan , Robert Wille , Avik Santra

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

The most recent large language models(LLMs) such as ChatGPT and GPT-4 have shown exceptional capabilities of generalist models, achieving state-of-the-art performance on a wide range of NLP tasks with little or no adaptation. How effective…

Computation and Language · Computer Science 2023-10-12 Xianzhi Li , Samuel Chan , Xiaodan Zhu , Yulong Pei , Zhiqiang Ma , Xiaomo Liu , Sameena Shah

Large language models~(LLM) like ChatGPT have become indispensable to artificial general intelligence~(AGI), demonstrating excellent performance in various natural language processing tasks. In the real world, graph data is ubiquitous and…

Artificial Intelligence · Computer Science 2023-07-12 Jiayan Guo , Lun Du , Hengyu Liu , Mengyu Zhou , Xinyi He , Shi Han

In the rapid development of artificial intelligence, solving complex AI tasks is a crucial technology in intelligent mobile networks. Despite the good performance of specialized AI models in intelligent mobile networks, they are unable to…

Artificial Intelligence · Computer Science 2023-10-16 Lei Yao , Yong Zhang , Zilong Yan , Jialu Tian

Large language models are reshaping quantitative investing by turning unstructured financial information into evidence-grounded signals and executable decisions. This survey synthesizes research with a focus on equity return prediction and…

Portfolio Management · Quantitative Finance 2025-10-08 Weilong Fu

Large language models are transforming learning, cognition, and research across many fields. Effectively integrating them into professional domains, such as accounting, is a key challenge for enterprise digital transformation. To address…

Computation and Language · Computer Science 2026-01-13 Jie Zhou , Xin Chen , Jie Zhang , Hai Li , Jie Wang , Zhe Li

This study provides the first comprehensive assessment of consistency and reproducibility in Large Language Model (LLM) outputs in finance and accounting research. We evaluate how consistently LLMs produce outputs given identical inputs…

General Finance · Quantitative Finance 2025-09-16 Julian Junyan Wang , Victor Xiaoqi Wang

In recent years, large language models (e.g., Open AI's GPT-4, Meta's LLaMa, Google's PaLM) have become the dominant approach for building AI systems to analyze and generate language online. However, the automated systems that increasingly…

Computation and Language · Computer Science 2023-06-14 Gabriel Nicholas , Aliya Bhatia

In recent years, advancements in artificial intelligence (AI) have led to the development of large language models like GPT-4, demonstrating potential applications in various fields, including education. This study investigates the…

Computers and Society · Computer Science 2023-04-25 Vinay Pursnani , Yusuf Sermet , Ibrahim Demir

The burgeoning field of Large Language Models (LLMs), exemplified by sophisticated models like OpenAI's ChatGPT, represents a significant advancement in artificial intelligence. These models, however, bring forth substantial challenges in…

The exponential growth of text-based data in domains such as healthcare, education, and social sciences has outpaced the capacity of traditional qualitative analysis methods, which are time-intensive and prone to subjectivity. Large…

We introduce the Yi model family, a series of language and multimodal models that demonstrate strong multi-dimensional capabilities. The Yi model family is based on 6B and 34B pretrained language models, then we extend them to chat models,…