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Large Language Models (LLMs) are revolutionizing several areas of Artificial Intelligence. One of the most remarkable applications is creative writing, e.g., poetry or storytelling: the generated outputs are often of astonishing quality.…

人工智能 · 计算机科学 2025-02-14 Giorgio Franceschelli , Mirco Musolesi

Large Language Models (LLMs) have become a cornerstone in the field of Natural Language Processing (NLP), offering transformative capabilities in understanding and generating human-like text. However, with their rising prominence, the…

Large language models (LLMs) are trained on vast amounts of data to generate natural language, enabling them to perform tasks like text summarization and question answering. These models have become popular in artificial intelligence (AI)…

This paper is under review in AI and Ethics This study examines whether large language models (LLMs) can reliably answer scientific questions and demonstrates how easily they can be influenced by fringe scientific material. The authors…

计算机与社会 · 计算机科学 2026-04-29 Harry Collins , Hartmut Grote , Paul Newbury , Patrick Sutton , Simon Thorne

Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) are marvels of technology; celebrated for their prowess in natural language processing and multimodal content generation, they promise a transformative future. But…

计算机与社会 · 计算机科学 2024-02-23 Emilio Ferrara

This paper examines a critical yet unexplored dimension of the AI alignment problem: the potential for Large Language Models (LLMs) to inherit and amplify existing misalignments between human espoused theories and theories-in-use. Drawing…

人机交互 · 计算机科学 2025-07-04 Tim Rogers , Ben Teehankee

Large Language Models (LLMs) are transforming human decision-making by acting as cognitive collaborators. Yet, this promise comes with a paradox: while LLMs can improve accuracy, they may also erode independent reasoning, promote…

密码学与安全 · 计算机科学 2025-09-09 Irdin Pekaric , Philipp Zech , Tom Mattson

The startling success of ChatGPT and other large language models (LLMs) using transformer-based generative neural network architecture in applications such as natural language processing and image synthesis has many researchers excited…

人工智能 · 计算机科学 2024-11-05 Venkat Venkatasubramanian , Arijit Chakraborty

Interpretable machine learning has exploded as an area of interest over the last decade, sparked by the rise of increasingly large datasets and deep neural networks. Simultaneously, large language models (LLMs) have demonstrated remarkable…

计算与语言 · 计算机科学 2024-02-06 Chandan Singh , Jeevana Priya Inala , Michel Galley , Rich Caruana , Jianfeng Gao

Large language models (LLMs) are a promising venue for natural language understanding and generation tasks. However, current LLMs are far from reliable: they are prone to generate non-factual information and, more crucially, to contradict…

机器学习 · 计算机科学 2024-04-22 Diego Calanzone , Stefano Teso , Antonio Vergari

Large Language Models (LLMs) represent a significant advancement in artificial intelligence, finding applications across various domains. However, their reliance on massive internet-sourced datasets for training brings notable privacy…

With a focus on natural language processing (NLP) and the role of large language models (LLMs), we explore the intersection of machine learning, deep learning, and artificial intelligence. As artificial intelligence continues to…

Large language models (LLMs) are powerful artificial intelligence (AI) tools transforming how research is conducted. However, their use in research has been met with skepticism, due to concerns about hallucinations, biases and potential…

人工智能 · 计算机科学 2025-07-08 Ruian Ke , Ruy M. Ribeiro

Large language models (LLMs) are increasingly central to many applications, raising concerns about bias, fairness, and regulatory compliance. This paper reviews risks of biased outputs and their societal impact, focusing on frameworks like…

计算机与社会 · 计算机科学 2025-09-26 Adrian Kuenzler , Stefan Schmid

The advancement of large language models (LLMs) has significantly enhanced the ability to effectively tackle various downstream NLP tasks and unify these tasks into generative pipelines. On the one hand, powerful language models, trained on…

计算与语言 · 计算机科学 2024-10-01 Haoran Li , Yulin Chen , Jinglong Luo , Jiecong Wang , Hao Peng , Yan Kang , Xiaojin Zhang , Qi Hu , Chunkit Chan , Zenglin Xu , Bryan Hooi , Yangqiu Song

Modern AI technology like Large language models (LLMs) has the potential to pollute the public information sphere with made-up content, which poses a significant threat to the cohesion of societies at large. A wide range of research has…

计算与语言 · 计算机科学 2024-07-19 Steffen Herbold , Alexander Trautsch , Zlata Kikteva , Annette Hautli-Janisz

Some have criticised Generative AI Systems for replicating the familiar pathologies of already widely-deployed AI systems. Other critics highlight how they foreshadow vastly more powerful future systems, which might threaten humanity's…

计算机与社会 · 计算机科学 2024-10-21 Seth Lazar

The advent of Large Language Models (LLMs) has made a transformative impact. However, the potential that LLMs such as ChatGPT can be exploited to generate misinformation has posed a serious concern to online safety and public trust. A…

计算与语言 · 计算机科学 2024-04-25 Canyu Chen , Kai Shu

Language models serve as a cornerstone in natural language processing (NLP), utilizing mathematical methods to generalize language laws and knowledge for prediction and generation. Over extensive research spanning decades, language modeling…

计算与语言 · 计算机科学 2024-09-24 Zichong Wang , Zhibo Chu , Thang Viet Doan , Shiwen Ni , Min Yang , Wenbin Zhang

This paper delves into the dynamic landscape of artificial intelligence, specifically focusing on the burgeoning prominence of large language models (LLMs). We underscore the pivotal role of Reinforcement Learning from Human Feedback (RLHF)…

计算机与社会 · 计算机科学 2024-03-18 Dana Alsagheer , Rabimba Karanjai , Nour Diallo , Weidong Shi , Yang Lu , Suha Beydoun , Qiaoning Zhang