Figuring Figures: An assessment of large language models on different modalities of math word problems by Wang, Yan, Lynch, Jayson, Krueger, Elizabeth

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Explorations in two dimensional strongly correlated quantum matter: from exactly solvable models to conformal bootstrap by Jones, Robert A.

“…In the first project, we set out to answer: is it possible to find a lattice model in the Ising universality class that realizes the Kramers Wannier symmetry in such a way that it squares to 1, rather than a lattice translation as in the usual Ising model? …”
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Natural Language Control for for Visually Interactive Decision Support Tools in Supply Chain Management by Guter, Willem J.

“…Various large language models are then evaluated for usability, functionality, and accuracy. We find that a state of the art commercial model is able to practically fulfill the role of a natural language interface, but that open-source large language models are not currently capable of functioning in this way.…”
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Information-Theoretic Motion Planning for Constrained Sensor Networks by Levine, Daniel, Luders, Brandon, How, Jonathan P.

“…IRRT possesses a number of beneficial properties, chief among them being the ability to find dynamically feasible, informative paths on short timescales, even subject to the aforementioned constraints. …”
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The cycle structure of LFSR with arbitrary characteristic polynomial over finite fields by Chang, Zuling, Ezerman, Martianus Frederic, Ling, San, Wang, Huaxiong

“…For each cycle, a method to find a state and a new way to represent the state are proposed.…”
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Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction by Nie, Feiping, Xiang, Shiming, Liu, Yun, Hou, Chenping, Zhang, Changshui

“…To obtain great discriminative power between classes, all the data points in each class are expected to be regressed to a single vector, and the basic task is to find a transformation matrix such that the squared regression error is minimized. …”
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Co-opetition : exploring the degree of cooperation and competition of Singapore firms in the marketplace. by Khoo, Ee Ling., Tan, Myra Li Ling., Xie, Junhao.

“…The main goal of this research is to find out the varying degree of cooperation and competition of Singapore firms in the marketplace. …”
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Autonomous quality monitoring for complex manufacturing process by Lee, Wen Siong

“…This research investigates the possibilities of using different types of incremental learning algorithms and deep neural networks to monitor the quality of products produced from the complex manufacturing process through binary and multi-class classification to identify defects quickly. To find out which algorithm or neural network has the best result, I compared the performance of 4 different algorithms and 3 different neural networks using a set of time-series data collected as a result of the production of a transparent mold from the Molding machine. …”
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Bone apple tea, bon appetit : a Python-led analysis of English malapropisms posted on Reddit by Teo, Wenqi

“…By employing several Python-based resources and dictionaries, this project seeks to find the phonetic distance between the broad phonetic transcription of submitted malapropisms and the intended words. …”
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The language preservation problem is undecidable for parametric event-recording automata by André, Étienne, Lin, Shang-Wei

“…The (untimed) language preservation problem ("given a parameter valuation, can we find at least one other valuation with the same untimed language?") …”
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“Our supreme objective” : Nehru, a suitable boy, and the moderation of feeling by Scott, Bede

“…I then trace the process by which Nehru’s “meandering pleas for mutual tolerance” eventually find their way into the very structure of A Suitable Boy, directly influencing its formal qualities and creating a general discursive “climate” of order and stability. …”
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Without passage by Chee, En Cui

“…Maybe the person beside you sees a magician having a conversation? Please feel free to find your own passage into your own epiphany, your own way of understanding.…”
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Deep reinforcement learning for optimal resource allocation by Ng, Steffi Si Yu

“…With the increasing demand for goods in today’s world, manufacturers must find means to improve their productivity to meet these demands. …”
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American fuzzy lop (AFL) fuzzer by Wong, Cerdic Wei Kit

“…Vulnerability researchers can use American Fuzzy Lop (AFL), an evolutionary fuzzer, to find problems in their software during testing. As it is a critical component of the current vulnerabilities research, fuzzing is a crucial technique to know about. …”
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Web-based development for serious game in education by Tan, Zarn Yao

“…However, it can be a tedious process for beginners to pick up this topic as the concepts are mostly abstract. Students might find themselves feeling discouraged and giving up very soon if the learning process is dull. …”
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Impact of innovation on performance of shipping companies in Singapore by Xie, Yizheng.

“…Analysis was carried out using SPSS to find out the correlation between innovation and performance variables. …”
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Single image super resolution by Chan, Jeremiah Sheng En

“…Hence, the goal of this project is to find out how much we can improve a super resolution model by filtering the inputs using a classification model. …”
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Dynamically optimal portfolio selection with frictions and portfolio constraints by Ye, Zi

“…Portfolio selection is central in financial mathematics, which aims to find the best allocation of wealth according to the investor's preference. …”
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Controllable robot arm with integrated 3D mapping capability by Loh, Jeng

“…Robots can be found in all shapes and sizes from large industrial robots used in manufacturing to the common vacuum cleaner robots you can find in people’s houses today. According to the International Federation of Robotics (IFR) the annual installations of industrial robots globally hit an “All Time High” at 517,000 in the year 2021 despite the logistic issues faced due to the pandemic. …”
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Evaluation of container-scheduling algorithms for cluster management in the public cloud by Kwa, Keane Bing Hong

“…Through rigorous experimentation and data analysis, we find that the Stratus algorithm outperforms Google's Borg algorithm, especially in terms of the running cost of the instances - where we observed a 72% reduction in cost. …”
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