Tree-based Data Replay for More Efficient LLM Continual Learning by Bailey, Brian

“…As Large Language Models (LLMs) gain popularity, they face a crucial challenge: effectively updating their knowledge bases with new data while retaining knowledge of prior information. …”
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Efficient inference offloading for mixture-of-experts large language models in internet of medical things by Yuan, Xiaoming, Kong, Weixuan, Luo, Zhenyu, Xu, Minrui

“…Despite recent significant advancements in large language models (LLMs) for medical services, the deployment difficulties of LLMs in e-healthcare hinder complex medical applications in the Internet of Medical Things (IoMT). …”
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The post office : a comparative social history of Britain and Singapore, 1840s to 1880s by Yeow, Jeremy Yong Qi

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LLM-based column lineage for relational databases by Tan, Yu Ling

“…This project seeks to overcome these limitations by investigating the potential of using LLMs as an alternative to conventional SQL parsers.…”
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InvWealthGPT: modern wealth management advice to the masses using generative AI by Tan, Marcus Song Huang

“…This paper discusses the potential application of Generative AI LLMs in wealth management and finance, and how it can serve as a robust, customisable, yet accurate and reliable tool for the masses.…”
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Re-envisioning space : the framing of collective memory in post 1989 China by Barath Salarajoo

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ProtAgents: Protein discovery via large language model multi-agent collaborations combining physics and machine learning by Ghafarollahi, Alireza, Buehler, Markus J.

“…The dynamic collaboration between agents, empowered by LLMs, provides a versatile approach to tackling protein design and analysis problems, as demonstrated through diverse examples in this study. …”
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Model merging and safety alignment: one bad model spoils the bunch by Hammoud, HAAK, Michieli, U, Pizzati, F, Torr, P, Bibi, A, Ghanem, B, Ozay, M

“…Merging Large Language Models (LLMs) is a cost-effective technique for combining multiple expert LLMs into a single versatile model, retaining the expertise of the original ones. …”

Generative artificial intelligence : exploring the power and potential of generative AI / by Solanki, Shivam R., author 654859, Khublani, Drupad K., author, SpringerLink (Online service)

“…Then the book switch gears to dive into generative text models, exploring the concepts of Large Language Models (LLMs), natural language generation (NLG), fine-tuning, prompt tuning, and reinforcement learning. …”
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Advances and applications of large language models II by Ng, Qi Xuan

“…This project leverages advanced Large Language Models (LLMs), renowned for their capabilities in complex natural language processing (NLP) tasks. …”
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Large multimodal models for visual reasoning by Duong, Ngoc Yen

“…This paper introduces a novel framework for enhancing visual spatial reasoning by leveraging the strengths of Large Language Models (LLMs) and Vision-Language Models (VLMs). We propose two complementary methods: LLMGuide and LLMVerify. …”
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Bi-factorial preference optimization: balancing safety-helpfulness in language models by Zhang, W, Torr, PHS, Elhoseiny, M, Bibi, A

“…Fine-tuning large language models (LLMs) on human preferences, typically through reinforcement learning from human feedback (RLHF), has proven successful in enhancing their capabilities. …”

Study the Meaning of the English Translation of THE NOBLE QUR'AN : Word-for-Word from Arabic to English by DARUSSALAM

“…But when one knows the meanings of each Arabic word of the Verse, then whether he himself recites the Qu' rân, or listens to some other s recitation, he gets the pleasure of understanding it.…”

Evolving code with a large language model by Hemberg, Erik, Moskal, Stephen, O’Reilly, Una-May

“…Algorithms that use Large Language Models (LLMs) to evolve code arrived on the Genetic Programming (GP) scene very recently. …”
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Investigating Fine-Tuning of Language Models for Multiple-Choice Questions by Wang, Ivy A.

“…This thesis investigates the positional and contextual bias of large language models (LLMs) when used to answer multiple-choice questions (MCQs). …”
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Distant children, integral citizens: Guomindang idealisations of Malayan Chinese childhood, 1927-1949 by Neo, Yu Zhe

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Report on industrial orientation with Environmental Resources Management Pte Ltd (ERM) by Heng, Ming Xuan

“…Learning includes understanding the Environmental Baseline Study (EBS), ESA guidelines for State Land in Singapore, Environmental Health and Safety (EHS) guidelines for onshore and offshore gas and oil development, International Financial Corporation (IFC) guidelines for various environmental parameters, Singapore EHS legislation, and various research works amongst the many learning. …”
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Frame competition and climate change communication by Ong, Adeline Huilin, Neo, Eileen Hui Yan, Lim, Nigel Wen Bin, Loh, Clara Yi Jin

“…Relative to the control group, complementary anti-frames were found to significantly lower attitudes towards PEBs and GETs. Individuals in the competitive condition reported middle ground positions that were significantly higher than the complementary anti-frame condition and lower than the complementary pro-condition on attitudes towards GETs. …”
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Mallet: SQL Dialect Translation with LLM Rule Generation by Ngom, Amadou Latyr, Kraska, Tim

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Mischievous misbehaviours : a short for kids and adults alike by Cai, Lixian

“…A story about a mischievous little boy who gets his little buttock whacked and learns his lesson. …”
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