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Editing Models with Task Arithmetic [PDF]
International Conference on Learning Representations, 2022 Changing how pre-trained models behave -- e.g., improving their performance on a downstream task or mitigating biases learned during pre-training -- is a common practice when developing machine learning systems.
Gabriel Ilharco +6 more
semanticscholar +1 more source
How well do Large Language Models perform in Arithmetic tasks? [PDF]
arXiv.org, 2023 Large language models have emerged abilities including chain-of-thought to answer math word problems step by step. Solving math word problems not only requires abilities to disassemble problems via chain-of-thought but also needs to calculate arithmetic ...
Zheng Yuan +4 more
semanticscholar +1 more source
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models [PDF]
Neural Information Processing Systems, 2023 Task arithmetic has recently emerged as a cost-effective and scalable approach to edit pre-trained models directly in weight space: By adding the fine-tuned weights of different tasks, the model's performance can be improved on these tasks, while ...
Guillermo Ortiz-Jiménez +2 more
semanticscholar +1 more source
Hilbert arithmetic as a Pythagorean arithmetic: arithmetic as transcendental [PDF]
SSRN Electronic Journal, 2021 The paper considers a generalization of Peano arithmetic, Hilbert arithmetic as the basis of the world in a Pythagorean manner. Hilbert arithmetic unifies the foundations of mathematics (Peano arithmetic and set theory), foundations of physics (quantum mechanics and information), and philosophical transcendentalism (Husserl’s phenomenology) into a ...
openaire +7 more sources
Arithmetic, 2022 Developing a video for learning mathematics in the Number Theory course as the purpose of this research. This needs to be done to help students understand the material during online learning. The development procedure in this R&D research is based on the
Nur'aini Muhassanah +2 more
doaj +1 more source
Arithmetic, 2022 Mathematics books based on Realistic Mathematics Education (RME) integrated with Islamic values will make mathematics learning more memorable. The reason is, that the books or learning resources used by most students only contain a collection of material
Aeni Nur Taskiyah, Putri Nur Malasari
doaj +1 more source
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 The rising popularity of intelligent mobile devices and the daunting computational cost of deep learning-based models call for efficient and accurate on-device inference schemes.
Benoit Jacob +7 more
semanticscholar +1 more source
A Baxter class of a different kind, and other bijective results using tableau sequences ending with a row shape [PDF]
Discrete Mathematics & Theoretical Computer Science, 2015 Tableau sequences of bounded height have been central to the analysis of $k$-noncrossing set partitions and matchings. We show here that families of sequences that end with a row shape are particularly compelling and lead to some interesting connections.
Sophie Burrill +2 more
doaj +1 more source
Arithmetic, 2022 One way to build understanding of the concept is to make innovations about E-LKPD. This study is aims to develop on process, the process result an E-LKPD based google sites on matrix material using a scientific approach to build a valid understanding of ...
Wisnu Dharma Basudewa +1 more
doaj +1 more source
Rancang Bangun Media Pembelajaran Matematika Berbantuan Educandy
Arithmetic, 2022 The purpose of this development research is to design mathematics learning media with the help of educandy applications for grade II elementary school teachers.
Abdul Karim +3 more
doaj +1 more source