Results 141 to 150 of about 55,072 (308)

Can Editing LLMs Inject Harm?

Knowledge editing has been increasingly adopted to correct the false or outdated knowledge in Large Language Models (LLMs). Meanwhile, one critical but under-explored question is: can knowledge editing be used to inject harm into LLMs?
Xu, Xiongxiao, Huang, Baixiang, Xiao, Chaowei, Wang, William Yang, Gu, Jia-Chen, Lai, Shiyang, Song, Dawn, Gu, Jindong, Yao, Huaxiu, Shu, Kai, Li, Zekun, Chen, Canyu, Chen, Zhaorun, Yan, Xifeng, Torr, Philip   +14 more
core   +1 more source

Personalised Abusive Language Detection Using LLMs and Retrieval-Augmented Generation

Large language models (LLMs) can be useful tools for detecting abusive language on social media. However, LLMs are not always effective as they can overlook the diversity among individuals, which can lead to severe consequences.
Yao, Tsungcheng, Binnewies, Sebastian, Foo, Ernest   +2 more
core  

Trustworthy and Efficient LLMs Meet Databases

In the rapidly evolving AI era with large language models (LLMs) at the core, making LLMs more trustworthy and efficient, especially in output generation (inference), has gained significant attention. This is to reduce plausible but faulty LLM outputs (a.
Kim, Kyoung-Min, Ailamaki, Anastasia
core   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Cognitive phantoms in large language models through the lens of latent variables

Computers in Human Behavior: Artificial Humans
Large language models (LLMs) increasingly reach real-world applications, necessitating a better understanding of their behaviour. Their size and complexity complicate traditional assessment methods, causing the emergence of alternative approaches ...
Sanne Peereboom, Inga Schwabe, Bennett Kleinberg   +2 more
doaj   +1 more source

LLM-Evaluation Tropes: Perspectives on the Validity of LLM-Evaluations

CoRR
Large Language Models (LLMs) are increasingly used to evaluate information retrieval (IR) systems, generating relevance judgments traditionally made by human assessors. Recent empirical studies suggest that LLM-based evaluations often align with human judgments, leading some to suggest that human judges may no longer be necessary, while others ...
Laura Dietz, Oleg Zendel, Peter Bailey, Charles L. A. Clarke, Ellese Cotterill, Jeff Dalton 0001, Faegheh Hasibi, Mark Sanderson, Nick Craswell   +8 more
openaire   +2 more sources

Examining LLMs in Economic Settings

Humans are not homo economicus (i.e., rational economic beings). We exhibit systematic behavioral biases such as loss aversion, anchoring, framing, etc., which lead us to make suboptimal economic decisions.
Ross, Jillian A.
core  

Evaluating LLMs for visualization generation and understanding

Information Visualization has been utilized to gain insights from complex data. In recent times, Large Language models (LLMs) have performed very well in many tasks.
Sougata Mukherjea, Vinit Chandak, Saadiq Rauf Khan   +2 more
core   +1 more source

Toward Intelligent Multimodal Holography for Real‐Time Chemical Imaging of Dynamic Ion Separation

Advanced Intelligent Discovery, EarlyView.
Intelligent multimodal holography integrates digital off‐axis holography, spectroscopic imaging, and AI‐driven reconstruction to visualize ion transport and chemical dynamics in real time. In this perspective paper, we outline how this approach enables label‐free, chemically specific monitoring of complex environments and discuss its potential to ...
Giovanna Ricchiuti, Sarah I. Allec, Maxim Ziatdinov, Venkateshkumar Prabhakaran   +3 more
wiley   +1 more source

Industrial applications of large language models

Scientific Reports
Large language models (LLMs) are artificial intelligence (AI) based computational models designed to understand and generate human like text. With billions of training parameters, LLMs excel in identifying intricate language patterns, enabling remarkable
Mubashar Raza, Zarmina Jahangir, Muhammad Bilal Riaz, Muhammad Jasim Saeed, Muhammad Awais Sattar   +4 more
doaj   +1 more source