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Related papers: Large Language Models, scientific knowledge and fa…

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This study analyzes the multiple functions of Large Language Models (LLMs) in transforming research and development (R&D) processes. By automating knowledge discovery, boosting hypothesis creation, integrating transdisciplinary insights,…

Computation and Language · Computer Science 2025-11-25 Raha Aghaei , Ali A. Kiaei , Mahnaz Boush , Mahan Rofoosheh , Mohammad Zavvar

Scientific literature is growing exponentially, creating a critical bottleneck for researchers to efficiently synthesize knowledge. While general-purpose Large Language Models (LLMs) show potential in text processing, they often fail to…

Computation and Language · Computer Science 2025-09-11 Fengyu She , Nan Wang , Hongfei Wu , Ziyi Wan , Jingmian Wang , Chang Wang

Speech understanding is essential for interpreting the diverse forms of information embedded in spoken language, including linguistic, paralinguistic, and non-linguistic cues that are vital for effective human-computer interaction. The…

Audio and Speech Processing · Electrical Eng. & Systems 2025-12-08 Jing Peng , Yucheng Wang , Bohan Li , Yiwei Guo , Hankun Wang , Yangui Fang , Yu Xi , Haoyu Li , Xu Li , Ke Zhang , Shuai Wang , Kai Yu

Electronic Health Records (EHRs) play an important role in the healthcare system. However, their complexity and vast volume pose significant challenges to data interpretation and analysis. Recent advancements in Artificial Intelligence…

The dissemination of false information on online platforms presents a serious societal challenge. While manual fact-checking remains crucial, Large Language Models (LLMs) offer promising opportunities to support fact-checkers with their…

Computation and Language · Computer Science 2024-10-31 Ivan Vykopal , Matúš Pikuliak , Simon Ostermann , Marián Šimko

Grounded claim factuality checking is important for large language model (LLM) applications such as retrieval-augmented generation, as it helps users assess the correctness of generated outputs. Existing metrics using entailment classifiers…

Computation and Language · Computer Science 2026-05-29 Yuxuan Ye , Raul Santos-Rodriguez , Edwin Simpson

The advancement of Large Language Models (LLMs) has greatly improved our ability to process complex language. However, accurately detecting logical fallacies remains a significant challenge. This study presents a novel and effective prompt…

Artificial Intelligence · Computer Science 2025-04-01 Jiwon Jeong , Hyeju Jang , Hogun Park

Large language models (LLMs) offer emerging opportunities for psychological and behavioral research, but methodological guidance is lacking. This article provides a framework for using LLMs as psychological simulators across two primary…

Computers and Society · Computer Science 2026-04-07 Zhicheng Lin

Large language models (LLMs) are gaining increasing interests to improve clinical efficiency for medical diagnosis, owing to their unprecedented performance in modelling natural language. Ensuring the safe and reliable clinical…

Computation and Language · Computer Science 2024-03-26 Lei Liu , Xiaoyan Yang , Fangzhou Li , Chenfei Chi , Yue Shen , Shiwei Lyu Ming Zhang , Xiaowei Ma , Xiangguo Lyu , Liya Ma , Zhiqiang Zhang , Wei Xue , Yiran Huang , Jinjie Gu

Recently, Large Language Models (LLMs) have showcased remarkable capabilities in natural language understanding. While demonstrating proficiency in everyday conversations and question-answering situations, these models frequently struggle…

Computation and Language · Computer Science 2023-08-28 Chaoyi Wu , Weixiong Lin , Xiaoman Zhang , Ya Zhang , Yanfeng Wang , Weidi Xie

Verification of biomedical claims is critical for healthcare decision-making, public health policy and scientific research. We present an interactive biomedical claim verification system by integrating LLMs, transparent model explanations,…

Human-Computer Interaction · Computer Science 2025-03-03 Siting Liang , Daniel Sonntag

Large language models (LLMs) have made significant progress in various domains, including healthcare. However, the specialized nature of clinical language understanding tasks presents unique challenges and limitations that warrant further…

Computation and Language · Computer Science 2023-08-01 Yuqing Wang , Yun Zhao , Linda Petzold

The rapid advancement of Large Language Models (LLMs) has led to a multitude of application opportunities. One traditional task for Information Retrieval systems is the summarization and classification of texts, both of which are important…

Computation and Language · Computer Science 2025-02-25 Gautam Kishore Shahi , Oliver Hummel

Humankind's understanding of the world is fundamentally linked to our perception and cognition, with \emph{human languages} serving as one of the major carriers of \emph{world knowledge}. In this vein, \emph{Large Language Models} (LLMs)…

Artificial Intelligence · Computer Science 2024-06-27 Huajun Chen

Large language models (LLMs) have emerged as powerful tools for analyzing complex datasets. Recent studies demonstrate their potential to generate useful, personalized responses when provided with patient-specific health information that…

Large language models (LLMs) have demonstrated immense capabilities in understanding textual data and are increasingly being adopted to help researchers accelerate scientific discovery through knowledge extraction (information retrieval),…

Computer Vision and Pattern Recognition · Computer Science 2025-05-30 Robinson Umeike , Neil Getty , Fangfang Xia , Rick Stevens

With recent Nobel Prizes recognising AI contributions to science, Large Language Models (LLMs) are transforming scientific research by enhancing productivity and reshaping the scientific method. LLMs are now involved in experimental design,…

As the importance of comprehensive evaluation in workshop courses increases, there is a growing demand for efficient and fair assessment methods that reduce the workload for faculty members. This paper presents an evaluation conducted with…

Computers and Society · Computer Science 2024-05-30 Toru Ishida , Tongxi Liu , Hailong Wang , William K. Cheung

Large Language Models (LLMs) are catalyzing a paradigm shift in scientific discovery, evolving from task-specific automation tools into increasingly autonomous agents and fundamentally redefining research processes and human-AI…

Computation and Language · Computer Science 2025-09-18 Tianshi Zheng , Zheye Deng , Hong Ting Tsang , Weiqi Wang , Jiaxin Bai , Zihao Wang , Yangqiu Song

Large Language Models (LLMs) constitute a breakthrough state-of-the-art Artificial Intelligence (AI) technology which is rapidly evolving and promises to aid in medical diagnosis either by assisting doctors or by simulating a doctor's…