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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…

计算与语言 · 计算机科学 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…

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…

计算与语言 · 计算机科学 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…

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…

计算机视觉与模式识别 · 计算机科学 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…

机器学习 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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.…

计算与语言 · 计算机科学 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,…

计算机与社会 · 计算机科学 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…

计算与语言 · 计算机科学 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…

机器学习 · 计算机科学 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.…

计算与语言 · 计算机科学 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…

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…

计算与语言 · 计算机科学 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…

计算与语言 · 计算机科学 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…

计算与语言 · 计算机科学 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…