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Systematic Review of Approaches to Improve Peer Assessment at Scale
http://arxiv.org/abs/2001.10617v1 · arxiv
Peer Assessment is a task of analysis and commenting on student's writing by peers, is core of all educational components both in campus and in MOOC's. However, with the sheer scale of MOOC's & its inherent personalised open ended learning, automatic grading and tools assisting grading at scale is h
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When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs
http://arxiv.org/abs/2606.28438v1 · arxiv
Recursive self-training can degrade neural generative models when generated data is reused without fresh human data or external quality control. We study this risk in code LLMs, where AI-generated code can enter real repositories, later become training data, and create a repository-scale self-traini
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Flavored Dark Matter: A Review
http://arxiv.org/abs/1308.0584v1 · arxiv
The current status of flavored dark matter is reviewed. We discuss the main experimental constraints on models of flavored dark matter and survey some possible considerations which are relevant for the constructions of models. We then review the application of existing flavor principles to dark matt
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User Bias Removal in Review Score Prediction
http://arxiv.org/abs/1612.06821v2 · arxiv
Review score prediction of text reviews has recently gained a lot of attention in recommendation systems. A major problem in models for review score prediction is the presence of noise due to user-bias in review scores. We propose two simple statistical methods to remove such noise and improve revie
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A review of Quantum Gravity at the Large Hadron Collider
http://arxiv.org/abs/1005.1805v1 · arxiv
The aim of this article is to review the recent developments in the phenomenology of quantum gravity at the Large Hadron Collider. We shall pay special attention to four-dimensional models which are able to lower the reduced Planck mass to the TeV region and compare them to models with a large extra
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AI Literature Review Suite
http://arxiv.org/abs/2308.02443v1 · arxiv
The process of conducting literature reviews is often time-consuming and labor-intensive. To streamline this process, I present an AI Literature Review Suite that integrates several functionalities to provide a comprehensive literature review. This tool leverages the power of open access science, la
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DNA-Based Data Storage Systems: A Review of Implementations and Code Constructions
http://arxiv.org/abs/2310.04694v1 · arxiv
In this review paper, we delve into the nascent field of molecular data storage, focusing on system implementations and code constructions. We start by providing an overview of basic concepts in synthetic and computational biology. Afterwards, we proceed with a review of the diverse approaches follo
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Review of gas and dust in debris discs
http://arxiv.org/abs/1611.06751v1 · arxiv
This proceeding summarises a talk given on the state-of-the-art of debris disc modelling. We first review the basics of debris disc physics, which is followed by a short overview of the state-of-the-art in terms of modelling dust and gas in debris disc systems.
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A Review on the Security Vulnerabilities of the IoMT against Malware Attacks and DDoS
http://arxiv.org/abs/2501.07703v1 · arxiv
The Internet of Medical Things (IoMT) has transformed the healthcare industry by connecting medical devices in monitoring treatment outcomes of patients. This increased connectivity has resulted to significant security vulnerabilities in the case of malware and Distributed Denial of Service (DDoS) a
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Small and Dim Target Detection in IR Imagery: A Review
http://arxiv.org/abs/2311.16346v1 · arxiv
While there has been significant progress in object detection using conventional image processing and machine learning algorithms, exploring small and dim target detection in the IR domain is a relatively new area of study. The majority of small and dim target detection methods are derived from conv
10 hasil · 904 md