Nstruction Mining Topics
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- Nstruction Mining Topics
ABSTRACT The authors describe how schema-based instruction (SBI), a conceptual teaching approach that integrates the National Council for Teachers of Mathematics (2000) Standards, improved the…
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niques for accelerating broad graph mining. To address all these issues, we propose a novel design that is high-performance (both empirically and theoretically), ap-plicable to many graph mining problems, and easily amenable to PIM acceleration. We first observe that large parts of many graph mining algorithms can be expressed with simple set
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About ScienceDirect Topics. Topic pages are designed to help you get up to speed with new topics in your field of research or area of study. The extracts provided on ScienceDirect Topics are written by subject matter experts and are drawn from foundational and reference materials.
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Large language models typically undergo two training stages, pretraining and finetuning. Despite that large-scale pretraining endows the model with strong capabilities to generate natural language responses, these pretrained models can still fail to understand human instructions at times.
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itive results. Instruction Mining (Cao et al.,2023) introduces a linear rule for selecting high-quality instruction data, eliminating the need for human an-notation, as seen in LIMA.Du et al.(2023) present a model-oriented data selection (MoDS) approach, which selects instruction data based on a new crite-
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Mining safety refers to practices, procedures, and regulations aimed at controlling and managing the various hazards associated with every step of the mining …
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By engaging in regular conversations about safety, employers can make sure that protocols are in place and that employees are following them. Furthermore, …
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Abstract. Large language models typically undergo two training stages, pretraining and finetuning. Despite that large-scale pretraining endows the model with strong capabilities to generate natural language responses, these pretrained models can still fail to understand human instructions at times.
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Textbooks: There are several textbooks on data mining that cover different topics and provide practical examples. Some popular books on data mining include "Data Mining: Concepts and Techniques" by Jiawei Han and Micheline Kamber and "Introduction to Data Mining" by Pang-Ning Tan, Michael Steinbach, and Vipin Kumar.
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Table 3: Linear regression parameter estimation results using ordinary least squares (OLS). P > |t| represents p value under student test on each coeficient. Lower p value indicating that the coeficient for this variable is more significant and acceptable. R2 and adjusted R2 represents how well the data is fit using the estimated linear function. - "Instruction …
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Instruction mining: High-quality instruction data selection for large language models (Arxiv, Jul. 2023) AlpaGasus: Training A Better Alpaca with Fewer Data (Arxiv, Jul. 2023) [Paper] Harnessing the Power of David against Goliath: Exploring Instruction Data Generation without Using Closed-Source Models (Arxiv, Aug. 2023) [Paper]
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Instruction Mining: High-Quality Instruction Data Selection for Large Language Models Yihan Cao, Yanbin Kang, Lichao Sun Abstract Large language models…
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Mining LDA topics on construction engineering change risks based on graded evidence PLoS One. 2024 Jun 20;19(6):e0303424. doi: 10.1371/journal.pone.0303424. ... In addition, by combining EC risk topics with relevant literature, we identified factors influencing EC risks. Subsequently, we designed an …
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Add a description, image, and links to the instruction-tuning topic page so that developers can more easily learn about it. Curate this topic Add this topic to your repo To associate your repository with the instruction-tuning topic, visit your repo's landing page and select "manage topics ...
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Figure 4: GPT evaluation comparison between rule selected dataset and randomly sampled dataset. In the context of this figure, Win, Fail and Tie here denote comparative outcomes when the generation results of selected dataset finetuned model are evaluated against those of a randomly sampled dataset finetuned model. - "Instruction Mining: High …
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Graphs with abundant attributes are essential in modeling interconnected entities and improving predictions in various real-world applications. Traditional Graph Neural Networks (GNNs), which are commonly used for modeling attributed graphs, need to be re-trained every time when applied to different graph tasks and datasets. Although …
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As recently studied, the undocumented instructions in embedded processors that may cause catastrophic results for devices have become one of the main threats to system security. To tackle this issue, …
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Riding's cognitive style analysis was used to identify the students' cognitive styles and it was found that field independent students frequently used an alphabetical index whereas field dependent students often chose a hierarchical map. Personalization has been widely used in Web-based instruction (WBI). To deliver effective …
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Large Language Models for Generic Graph Mining Yanchao Tan College of Computer and Data Science, Fuzhou University, China [email protected] Hang Lv College of Computer and Data Science, Fuzhou University, China lvhangkenn@gmail Xinyi Huang College of Computer and Data Science, Fuzhou University, China [email protected] …
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Mining topics are areas where NIOSH has formerly been or is currently engaged in performing research and producing publications. Click on a topic to explore an overview, or click on the symbol next to a topic to expand or collapse its content categories, including related projects and contracts.
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BEL AIR, LOS ANGELES (KABC) -- A man was killed while working near heavy equipment at a hillside residential construction site in Bel Air on Tuesday morning, …
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Figure 5: Distribution for all indicators. - "Instruction Mining: High-Quality Instruction Data Selection for Large Language Models" Skip to search form Skip to main content Skip to account menu. Semantic Scholar's Logo. Search 215,664,259 papers from all fields of science. Search. Sign ...
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Corpus ID: 6714184; The Importance of Grammar and Mechanics in Writing Assessment and Instruction: Evidence from Data Mining @inproceedings{Crossley2014TheIO, title={The Importance of Grammar and Mechanics in Writing Assessment and Instruction: Evidence from Data Mining}, author={Scott Andrew Crossley and …
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Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.
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Topics. AI-Generated. Undocumented Instructions (opens in a new tab) Secure Caches (opens in a new tab) 3 Citations. Citation Type. Has PDF. Author. More Filters. More Filters ... An undocumented instruction mining tool for digital signal processors named DSPUIM is proposed that can find out the undocumented instructions from the …
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Mining safety refers to any measures taken to promote a mining team's wellbeing and ensure they can work as safely, responsibly and efficiently as possible. Health, Safety and Environment (HSE) factors are potentially the most important measures to focus on at a …
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Educational Field and Small Mine Services (EFSMS) has developed a series of weekly ToolBox talks that can be used by small mine operators and others to hold safety and health discussions for their employees at …
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The world's first Learning Factory Mining 4.0, which is currently being established at the Institute for Advanced Mining Technologies (AMT) at RWTH Aachen University, will be discussed along with the Chalmers Tracks project, as two current benchmark projects for integrating entrepreneurial education in modern engineering …
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The company has finally secured the final tranches of funding it requires to kick off construction at the steelmaking coal mine in Limpopo.
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Instruction Mining: High-Quality Instruction Data Selection for Large Language Models arxiv
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This work proposes an undocumented instruction search method specifically for DSP processors, which can efficiently and accurately obtain undocumented instructions and builds a precise instruction disassembly framework to identify all the undefined instructions. Nowadays, DSP processors have been widely used in wireless network …
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