Results 101 to 110 of about 60,614 (154)
Can Large Language Models abstract Medical Coded Language?
Large Language Models (LLMs) have become a pivotal research area, potentially making beneficial contributions in fields like healthcare where they can streamline automated billing and decision support.
Lee, Simon A., Lindsey, Timothy
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Are Large Language Models (LLMs) Good Social Predictors?
The prediction has served as a crucial scientific method in modern social studies. With the recent advancement of Large Language Models (LLMs), efforts have been made to leverage LLMs to predict the human features in social life, such as presidential ...
Li, Hang +5 more
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Ethical Risks and Safeguards in Generative AI: Managing Impacts on Cognition and Decision-Making
Langues & CulturesThis study concentrates on the double-edged nature of AI as an innovation enabler and a source of ethical issues such as hallucinations, disinformation, and output variability and brittleness of large language models (LLMs) to prompts and context. As AI
Houda BOUMEDIENE +2 more
doaj
CMMLU: Measuring massive multitask language understanding in Chinese
As the capabilities of large language models (LLMs) continue to advance, evaluating their performance becomes increasingly crucial and challenging. This paper aims to bridge this gap by introducing CMMLU, a comprehensive Chinese benchmark that covers ...
Baldwin, Timothy +7 more
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In this paper, we explore a new way for user targeting, where non-expert marketers could select their target users solely given demands in natural language form.
Gu, Jinjie +5 more
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LLMs for Cyber Security: New Opportunities
Large language models (LLMs) are a class of powerful and versatile models that are beneficial to many industries. With the emergence of LLMs, we take a fresh look at cyber security, specifically exploring and summarizing the potential of LLMs in ...
Divakaran, Dinil Mon, Peddinti, Sai Teja
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RepoQA: Evaluating Long Context Code Understanding
Recent advances have been improving the context windows of Large Language Models (LLMs). To quantify the real long-context capabilities of LLMs, evaluators such as the popular Needle in a Haystack have been developed to test LLMs over a large chunk of ...
Daita, Vijay +7 more
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THaLLE: Text Hyperlocally Augmented Large Language Extension -- Technical Report
Recent advancements in Large Language Models (LLMs) have revealed new capabilities and opportunities across the technological landscape. However, the practicality of very large LLMs is challenged by their high compute cost, which does not justify the ...
Balee, Pornchanan +8 more
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Machine Unlearning in Large Language Models
Machine unlearning, a novel area within artificial intelligence, focuses on addressing the challenge of selectively forgetting or reducing undesirable knowledge or behaviors in machine learning models, particularly in the context of large language models
Agarwal, Shreya +3 more
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Exploring Spatial Schema Intuitions in Large Language and Vision Models
Despite the ubiquity of large language models (LLMs) in AI research, the question of embodiment in LLMs remains underexplored, distinguishing them from embodied systems in robotics where sensory perception directly informs physical action.
Wachowiak, Lennart, Wicke, Philipp
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