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Large language models (LLMs) represent a major advance in artificial intelligence (AI) research. However, the widespread use of LLMs is also coupled with significant ethical and social challenges. Previous research has pointed towards…

Computation and Language · Computer Science 2023-06-28 Jakob Mökander , Jonas Schuett , Hannah Rose Kirk , Luciano Floridi

In radiology, Artificial Intelligence (AI) has significantly advanced report generation, but automatic evaluation of these AI-produced reports remains challenging. Current metrics, such as Conventional Natural Language Generation (NLG) and…

Computation and Language · Computer Science 2024-02-20 Qingqing Zhu , Xiuying Chen , Qiao Jin , Benjamin Hou , Tejas Sudharshan Mathai , Pritam Mukherjee , Xin Gao , Ronald M Summers , Zhiyong Lu

Despite the growing adoption of large language models (LLMs) in academic workflows, their capabilities remain limited in supporting high-quality scientific writing. Most existing systems are designed for general-purpose scientific text…

Computation and Language · Computer Science 2026-04-24 Nuo Chen , Andre Lin HuiKai , Jiaying Wu , Junyi Hou , Zining Zhang , Qian Wang , Xidong Wang , Bingsheng He

Significantly simplifying the creation of optimization models for real-world business problems has long been a major goal in applying mathematical optimization more widely to important business and societal decisions. The recent…

Artificial Intelligence · Computer Science 2024-02-27 Segev Wasserkrug , Leonard Boussioux , Dick den Hertog , Farzaneh Mirzazadeh , Ilker Birbil , Jannis Kurtz , Donato Maragno

Conversation agents fueled by Large Language Models (LLMs) are providing a new way to interact with visual data. While there have been initial attempts for image-based conversation models, this work addresses the under-explored field of…

Computer Vision and Pattern Recognition · Computer Science 2024-06-11 Muhammad Maaz , Hanoona Rasheed , Salman Khan , Fahad Shahbaz Khan

Traditional biomedical artificial intelligence (AI) models, designed for specific tasks or modalities, often exhibit limited flexibility in real-world deployment and struggle to utilize holistic information. Generalist AI holds the…

Large Language Models (LLMs) have achieved remarkable success across diverse applications, yet their deployment remains challenging due to substantial computational costs, memory requirements, and energy consumption. Recent empirical…

Machine Learning · Computer Science 2026-03-24 Kaito Tanaka , Masato Ito , Yuji Nishimura , Keisuke Matsuda , Aya Nakayama

Large Language Models (LLMs) have demonstrated exceptional capabilities across various natural language processing tasks. Yet, many of these advanced LLMs are tailored for broad, general-purpose applications. In this technical report, we…

Recently, the flourishing large language models(LLM), especially ChatGPT, have shown exceptional performance in language understanding, reasoning, and interaction, attracting users and researchers from multiple fields and domains. Although…

Computer Vision and Pattern Recognition · Computer Science 2024-01-18 Haonan Guo , Xin Su , Chen Wu , Bo Du , Liangpei Zhang , Deren Li

ChatGPT is a large language model (LLM) created by OpenAI that has been carefully trained on a large amount of data. It has revolutionized the field of natural language processing (NLP) and has pushed the boundaries of LLM capabilities.…

Computation and Language · Computer Science 2023-07-18 Salman Mohamadi , Ghulam Mujtaba , Ngan Le , Gianfranco Doretto , Donald A. Adjeroh

The wide exploration of large language models (LLMs) raises the awareness of alignment between healthcare stakeholder preferences and model outputs. This alignment becomes a crucial foundation to empower the healthcare workflow effectively,…

Computers and Society · Computer Science 2025-05-07 Kexin Ding , Mu Zhou , Akshay Chaudhari , Shaoting Zhang , Dimitris N. Metaxas

Large language models (LLMs) constitute a breakthrough state-of-the-art Artificial Intelligence technology which is rapidly evolving and promises to aid in medical diagnosis. However, the correctness and the accuracy of their returns has…

Computation and Language · Computer Science 2024-02-07 Dimitrios P. Panagoulias , Maria Virvou , George A. Tsihrintzis

Building effective machine learning (ML) workflows to address complex tasks is a primary focus of the Automatic ML (AutoML) community and a critical step toward achieving artificial general intelligence (AGI). Recently, the integration of…

Machine Learning · Computer Science 2024-12-30 Yang Gu , Hengyu You , Jian Cao , Muran Yu , Haoran Fan , Shiyou Qian

Large Language Models (LLMs), such as GPT3.5, have exhibited remarkable proficiency in comprehending and generating natural language. On the other hand, medical assistants hold the potential to offer substantial benefits for individuals.…

Computation and Language · Computer Science 2024-04-05 Kai Zhang , Yangyang Kang , Fubang Zhao , Xiaozhong Liu

General large language models (LLMs) such as ChatGPT have shown remarkable success. However, such LLMs have not been widely adopted for medical purposes, due to poor accuracy and inability to provide medical advice. We propose IvyGPT, an…

Computation and Language · Computer Science 2023-07-21 Rongsheng Wang , Yaofei Duan , ChanTong Lam , Jiexi Chen , Jiangsheng Xu , Haoming Chen , Xiaohong Liu , Patrick Cheong-Iao Pang , Tao Tan

Artificial intelligence has significantly advanced healthcare, particularly through large language models (LLMs) that excel in medical question answering benchmarks. However, their real-world clinical application remains limited due to the…

Computation and Language · Computer Science 2024-07-01 Zhihao Fan , Jialong Tang , Wei Chen , Siyuan Wang , Zhongyu Wei , Jun Xi , Fei Huang , Jingren Zhou

The field of Artificial Intelligence (AI) continues to drive transformative innovations, with significant progress in conversational interfaces, autonomous vehicles, and intelligent content creation. Since the launch of ChatGPT in late…

Computation and Language · Computer Science 2025-01-13 Hussain Ahmad , Diksha Goel

Mental health has attracted substantial attention in recent years and LLM can be an effective technology for alleviating this problem owing to its capability in text understanding and dialogue. However, existing research in this domain…

Computation and Language · Computer Science 2024-12-09 Jinpeng Hu , Tengteng Dong , Luo Gang , Hui Ma , Peng Zou , Xiao Sun , Dan Guo , Xun Yang , Meng Wang

Large language models (LLMs) have emerged as transformative tools in medicine, with strong capabilities in language understanding, reasoning, and structured information extraction. Radiation oncology is particularly well suited for LLM…

Humanitarian negotiations in conflict zones, called \emph{frontline negotiation}, are often highly adversarial, complex, and high-risk. Several best-practices have emerged over the years that help negotiators extract insights from large…