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Apr 14, 2023 · The general idea is to predict a word using the surrounding word embeddings within a sliding window, as well as the topic embedding. The topic ...
Topic modeling, a way to find topics in large volumes of text, has grown with the help of deep learning. This paper presents two novel approaches to topic ...
A Topic-Aware Data Generation Framework for Math Word Problems. T. Zhao, C. Chai, J. Liu, G. Li, J. Feng, and Z. Liu. DASFAA (4), volume 13946 of Lecture ...
A Topic-Aware Data Generation Framework for Math Word Problems. Chapter. Apr 2023. Tianyu Zhao · Chengliang Chai · Jiabin Liu · Zitao Liu. In educational ...
A Topic-Aware Data Generation Framework for Math Word Problems. T Zhao, C Chai, J Liu, G Li, J Feng, Z Liu. International Conference on Database Systems for ...
Oct 31, 2024 · The paper presents a novel framework, Schema-Based Instruction Retrieval-Augmented Generation (SBI-RAG), aimed at improving students' ability to ...
Zhou and Huang proposed a neural network model called MAGNET for generating math word problems, which encodes topic words and math expressions separately, and ...
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We then introduce a topic selector and a topic controller to prevent topic drifting problems. ... A Topic-Aware Data Generation Framework for Math Word Problems.
In this study, we implement a system that generates various word problems by using episodes, which are knowledge regarded as cases of problem generation.
In this paper, we present a novel approach for distilling math word problem solving capabilities from large language models (LLMs) into smaller, more efficient ...