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Large Language Models (LLMs) have garnered considerable interest due to their impressive natural language capabilities, which in conjunction with various emergent properties make them versatile tools in workflows ranging from complex code…

Materials Science · Physics 2024-10-22 Ge Lei , Ronan Docherty , Samuel J. Cooper

Large Language Models (LLMs) have demonstrated surprising performance across various natural language processing tasks. Recently, medical LLMs enhanced with domain-specific knowledge have exhibited excellent capabilities in medical…

Computation and Language · Computer Science 2024-09-24 Jinqiang Wang , Huansheng Ning , Yi Peng , Qikai Wei , Daniel Tesfai , Wenwei Mao , Tao Zhu , Runhe Huang

Large Language Models (LLMs) have demonstrated their transformative potential across numerous disciplinary studies, reshaping the existing research methodologies and fostering interdisciplinary collaboration. However, a systematic…

Computation and Language · Computer Science 2025-07-14 Lu Xiang , Yang Zhao , Yaping Zhang , Chengqing Zong

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

Unit testing is a fundamental practice in modern software engineering, with the aim of ensuring the correctness, maintainability, and reliability of individual software components. Very recently, with the advances in Large Language Models…

Software Engineering · Computer Science 2025-06-19 Quanjun Zhang , Chunrong Fang , Siqi Gu , Ye Shang , Zhenyu Chen , Liang Xiao

The rise of LLM-based agents has opened new frontiers in AI applications, yet evaluating these agents remains a complex and underdeveloped area. This survey provides an in-depth overview of the emerging field of LLM agent evaluation,…

Machine Learning · Computer Science 2025-07-30 Mahmoud Mohammadi , Yipeng Li , Jane Lo , Wendy Yip

The advent of large language models marks a revolutionary breakthrough in artificial intelligence. With the unprecedented scale of training and model parameters, the capability of large language models has been dramatically improved,…

Information Retrieval · Computer Science 2025-01-16 Jin Chen , Zheng Liu , Xu Huang , Chenwang Wu , Qi Liu , Gangwei Jiang , Yuanhao Pu , Yuxuan Lei , Xiaolong Chen , Xingmei Wang , Defu Lian , Enhong Chen

Large language models (LLMs), such as ChatGPT, have received substantial attention due to their capabilities for understanding and generating human language. While there has been a burgeoning trend in research focusing on the employment of…

This paper provides a comprehensive review of the current methods and metrics used to evaluate the performance of Large Language Models (LLMs) in code generation tasks. With the rapid growth in demand for automated software development,…

Software Engineering · Computer Science 2025-03-05 Liguo Chen , Qi Guo , Hongrui Jia , Zhengran Zeng , Xin Wang , Yijiang Xu , Jian Wu , Yidong Wang , Qing Gao , Jindong Wang , Wei Ye , Shikun Zhang

This whitepaper offers an overview of the ethical considerations surrounding research into or with large language models (LLMs). As LLMs become more integrated into widely used applications, their societal impact increases, bringing…

Computers and Society · Computer Science 2024-10-29 Eddie L. Ungless , Nikolas Vitsakis , Zeerak Talat , James Garforth , Björn Ross , Arno Onken , Atoosa Kasirzadeh , Alexandra Birch

Measuring innovation often relies on context-specific proxies and on expert evaluation. Hence, empirical innovation research is often limited to settings where such data is available. We investigate how large language models (LLMs) can be…

Computation and Language · Computer Science 2025-08-05 Robin Nowak , Patrick Figge , Carolin Haeussler

The integration of Large Language Models (LLMs) into the drug discovery and development field marks a significant paradigm shift, offering novel methodologies for understanding disease mechanisms, facilitating drug discovery, and optimizing…

Quantitative Methods · Quantitative Biology 2024-09-10 Yizhen Zheng , Huan Yee Koh , Maddie Yang , Li Li , Lauren T. May , Geoffrey I. Webb , Shirui Pan , George Church

The rapid advancement of artificial intelligence, particularly with the development of Large Language Models (LLMs) built on the transformer architecture, has redefined the capabilities of natural language processing. These models now…

Computation and Language · Computer Science 2025-02-11 Andrea Matarazzo , Riccardo Torlone

Recently, tool learning with large language models (LLMs) has emerged as a promising paradigm for augmenting the capabilities of LLMs to tackle highly complex problems. Despite growing attention and rapid advancements in this field, the…

Computation and Language · Computer Science 2024-11-05 Changle Qu , Sunhao Dai , Xiaochi Wei , Hengyi Cai , Shuaiqiang Wang , Dawei Yin , Jun Xu , Ji-Rong Wen

The powerful ability to understand, follow, and generate complex language emerging from large language models (LLMs) makes LLM-generated text flood many areas of our daily lives at an incredible speed and is widely accepted by humans. As…

Computation and Language · Computer Science 2024-04-22 Junchao Wu , Shu Yang , Runzhe Zhan , Yulin Yuan , Derek F. Wong , Lidia S. Chao

The remarkable success of Large Language Models (LLMs) has illuminated a promising pathway toward achieving Artificial General Intelligence for both academic and industrial communities, owing to their unprecedented performance across…

The rapid development of large language models (LLMs) has been witnessed in recent years. Based on the powerful LLMs, multi-modal LLMs (MLLMs) extend the modality from text to a broader spectrum of domains, attracting widespread attention…

Artificial Intelligence · Computer Science 2024-08-06 Zhen Qin , Daoyuan Chen , Wenhao Zhang , Liuyi Yao , Yilun Huang , Bolin Ding , Yaliang Li , Shuiguang Deng

In recent times, the grandeur of Large Language Models (LLMs) has not only shone in the realm of natural language processing but has also cast its brilliance across a vast array of applications. This remarkable display of LLM capabilities…

Computation and Language · Computer Science 2024-03-22 Hanieh Alipour , Nick Pendar , Kohinoor Roy

Large Language Models(LLMs) have revolutionized various applications in natural language processing (NLP) by providing unprecedented text generation, translation, and comprehension capabilities. However, their widespread deployment has…

Computation and Language · Computer Science 2024-09-26 Rajesh Ranjan , Shailja Gupta , Surya Narayan Singh
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