Investigating fine-tuning of large language models for text summarisation by Khaliq, Usama, Patel, Preeti

“…The limited performance increase from the fine-tuned models was likely due to small datasets and medium-sized LLMs. …”
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Visual analytics for fine-grained text classification models and datasets by Battogtokh, M, Xing, Y, Davidescu, C, Abdul-Rahman, A, Luck, M, Borgo, R

“…In natural language processing (NLP), text classification tasks are increasingly fine-grained, as datasets are fragmented into a larger number of classes that are more difficult to differentiate from one another. …”

A review on substitution of natural sand with granite fines in sustainable concrete by Li, Ziyang, Lao, Junying, Wang, Lijie, Lim, Namyo Salim, Tan, Kang Hai, Qian, Shunzhi

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Ultra-fine bainite in medium-carbon high-silicon bainitic steel by Yu, Xinpan, Wang, Yong, Wu, Huibin, Gong, Na

“…%C ultra-fine bainitic steel is through austenitization at 1000 °C and austempering at 340 °C.…”
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Building fame through tea: the Wu Family and the Manufacture of zisha teapots during the Ming and Qing dynasties by Gao, X, Hein, A

“…By examining the Wu family’s connection with the origin of zisha teapots, this study investigates how Ming literati used material culture to shape family reputation. …”

Robust service restoration of distribution systems towards coordinated parallel network reconstruction and cold load pick-up by Xie, Dunjian, Xu, Yan, Zhang, Cuo

“…This paper proposed a robust service restoration method coordinating parallel network reconstruction and load restoration decisions considering cold load pick-up (CLPU) effects. Firstly, a novel parallel network reconstruction model is proposed, which can simultaneously guarantee the radiality of each subsystem and the feasibility of the restoration sequence. …”
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Cross-cultural exchanges and innovation: the making of fashion in Southeast Asia by Ling, Wessie

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China's influence on fashion-making in Southeast Asia by Ling, Wessie

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OSPC: Multimodal Harmful Content Detection using Fine-tuned Language Models by Cai, Bill

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ChromaFusionNet (CFNet): natural fusion of fine-grained color editing by Wang, Yuxi

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Statistical analysis of fine particle resuspension from rough surfaces by turbulent flows by You, Siming, Wan, Man Pun

Subjects: “…Fine Particles…”
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The impact of Ming and Qing dynasty maritime bans on trade ceramics recovered from coastal settlements in northern Sumatra, Indonesia by Tai, Yew Seng, Daly, Patrick, Mckinnon, E. Edwards, Parnell, Andrew, Feener, R. Michael, Majewski, Jedrzej, Nazli Ismail, Sieh, Kerry

“…We review published literature and historical texts to propose that three periods of official Chinese maritime bans impacted the composition and circulation of trade ceramics along Asian trade routes: Ming Ban 1 (1371 – 1509), Ming Ban 2 (1521 – 1529), and Qing Ban (1654 – 1684). …”
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Enhanced visualization of fine needles under sonographic guidance using a MEMS actuator by Shen, Zhiyuan, Zhou, Yufeng, Miao, Jianmin, Vu, Kien Fong

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Part I: Synthesis of sex pheromone of the pine sawfly, Macrodiprion Nemoralis. Part II: Synthetic studies towards the total synthesis of iriomoteolide-1a by Chin, Yen Jin

“…In the first part of this thesis, an elegant display of the CuI-Tol-BINAP-catalyzed asymmetric conjugate addition is established in the total synthesis of sex pheromone of the pine sawfly, Macrodiprion Nemoralis (SRRS-1). The key features of our strategy are: (I) one-pot DIBAL-H reduction–Wittig olefination, (II) olefin cross metathesis of fragment A and fragment B, and (III) a CuI-Tol-BINAP-catalyzed asymmetric conjugate addition using Grignard reagents in good yields and excellent stereoselectivities. …”
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Compressive strength and fire resistance of mortar containing crushed cockle shell as fine aggregate replacement by Hanis Nadiah, Ruslan, Khairunisa, Muthusamy, Mohd Faizal, Md Jaafar, Nabilla, Mohamad, Nur Farah Aziera, Jamaludin

“…Thus, the current study investigates the influence of substitution of crushed cockle shell as a partial fine aggregate on the compressive strength and fire resistance of mortar. …”
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The enduring importance of the “fine cuts” approach to psychology: EPS Mid-Career Award Lecture 2024 by Bird, G

“…In this article, I take a selective review of work undertaken by my colleagues and me in an attempt to show the enduring importance of the “fine cuts” approach to psychology. This approach highlights the importance of causal, specific, and falsifiable psychological models, and the rigorous experimental designs needed to test them. …”

Long-term fine particulate matter exposure on lung cancer incidence and mortality in Chinese nonsmokers by Chen, Z, Meng, X, Han, Y, Mou, Y, Ji, C, Zhu, X, Yu, C, Sun, D, Yang, L, Sun, Q, Chen, Y, Du, H, Dai, J, Hu, Z, Lv, J, Jin, G, Ma, H, Kan, H, Li, L, Shen, H

“…<p><strong>Rationale:</strong> The association between fine particulate matter (PM_2.5) and lung cancer incidence in non-smokers (LCINS) remains inconsistent. …”

Spherical mask: coarse-to-fine 3D point cloud instance segmentation with spherical representation by Shin, S, Zhou, K, Vankadari, M, Markham, A, Trigoni, N

“…Coarse-to-fine 3D instance segmentation methods show weak performances compared to recent Grouping-based, Kernel-based and Transformer-based methods. …”

An Effective Med-VQA Method Using a Transformer with Weights Fusion of Multiple Fine-Tuned Models by Al-Hadhrami, Suheer, Menai, Mohamed El Bachir, Al-Ahmadi, Saad, Alnafessah, Ahmad

“…The second model, the greedy-soup-based model, uses a greedy soup technique based on the fusion of multiple fine-tuned models to set the model parameters. The greedy soup selects the model parameters by fusing the model parameters that have significant performance on the validation accuracy in training. …”
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Evaluating Adaptive Layer Freezing through Hyperparameter Optimization for Enhanced Fine-Tuning Performance of Language Models by Figueroa, Reinaldo

“…When dealing with data scarcity, transfer learning has become the go-to method to use these models in specialized downstream tasks via fine-tuning. However, fine-tuning on small datasets can lead to overfitting and a lack of generalization. …”
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