Results 11 to 20 of about 60,614 (154)
Temporal evolution of large language models (LLMs) in oncology
Journal of Translational MedicineBackground Large language models (LLMs) are increasingly being applied in healthcare; however, their performance in specialized fields, such as oncology, is subject to temporal factors, including knowledge decay and concept drift.
Zilin Qiu +19 more
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Large Language Model (LLM) Bias Index—LLMBI
CoRR, 2023 The Large Language Model Bias Index (LLMBI) is a pioneering approach designed to quantify and address biases inherent in large language models (LLMs), such as GPT-4. We recognise the increasing prevalence and impact of LLMs across diverse sectors. This research introduces a novel metric, LLMBI, to systematically measure and mitigate biases potentially ...
Oketunji, AF, Anas, M, Saina, D
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PB-LLM: Partially Binarized Large Language Models
CoRR, 2023 This paper explores network binarization, a radical form of quantization, compressing model weights to a single bit, specifically for Large Language Models (LLMs) compression. Due to previous binarization methods collapsing LLMs, we propose a novel approach, Partially-Binarized LLM (PB-LLM), which can achieve extreme low-bit quantization while ...
Yuzhang Shang +3 more
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Large language models and political science
Frontiers in Political Science, 2023 Large Language Models (LLMs) are a type of artificial intelligence that uses information from very large datasets to model the use of language and generate content.
Mitchell Linegar +3 more
doaj +1 more source
LLM-Pruner: On the Structural Pruning of Large Language Models
Advances in Neural Information Processing Systems 36, 2023 Accepted at NeurIPS ...
Xinyin Ma, Gongfan Fang, Xinchao Wang
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After-School Care and Parents' Labor Supply [PDF]
, 2013 Does after-school care provision promote mothers' employment and balance the allocation of paid work among parents of schoolchildren? We address this question by exploiting variation in cantonal (state) regulations of after-school care provision in ...
Felfe, Christina +2 more
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Several categories of Large Language Models (LLMs): A Short Survey
, 2023 Large Language Models(LLMs)have become effective tools for natural language processing and have been used in many different fields. This essay offers a succinct summary of various LLM subcategories.
Chandrasekharan, Manoj, Pahune, Saurabh
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Medical Specialty Classification Using Large Language Models (LLMs)
Proceedings of the International Florida Artificial Intelligence Research Society ConferenceThis study evaluates the performance of Large Language Model (LLM)-based classifiers, including BERT, Bio-BERT, and Distil-BERT, in comparison to traditional Machine Learning algorithms to classify the medical transcription reports into various ...
Surya Kathirvel, Lenin Mookiah
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Large Language Models (LLMs) and Causality Extraction from Text
Proceedings of the International Florida Artificial Intelligence Research Society ConferenceThis tutorial explores the application of Large Language Models (LLMs), such as BERT, LLAMA, and GPT-3.5/4, to the extraction of causality from text documents, including identifying causes, effects, and actions in diverse texts, such as business ...
Wlodek Zadrozny
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Generating Personalized Recommendations via Large Language Models (LLMs) [PDF]
, 2022 Personalized recommendations used in many applications and websites are generated using techniques such as collaborative filtering, content-based filtering, reinforcement learning, etc. These are task-specific approaches. Large language models (LLMs) can
Ahuja, Sameer +2 more
core +1 more source