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Found 8 papers, 5 papers with code
Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions
In this paper, we investigate a collection of models that account for the individual preferences and tendencies of each human scorer in the automated scoring task.
Interpretable Math Word Problem Solution Generation Via Step-by-step Planning
We propose a step-by-step planning approach for intermediate solution generation, which strategically plans the generation of the next solution step based on the MWP and the previous solution steps.
Algebra Error Classification with Large Language Models
Existing data-driven methods avoid these limitations but specifically require mathematical expressions in student responses to be parsed into syntax trees.
Automatic Short Math Answer Grading via In-context Meta-learning
In this paper, we study the problem of automatic short answer grading for students' responses to math questions and propose a novel framework for this task.
Math Operation Embeddings for Open-ended Solution Analysis and Feedback
Feedback on student answers and even during intermediate steps in their solutions to open-ended questions is an important element in math education.
Attention-Based Second-Order Pooling Network for Hyperspectral Image Classification
On the other hand, the optimization of complex hyperparameters (e. g., the layer number and convolutional kernel size) is time-consuming and a very tough task, making the designed DL framework unexplainable.
Ranked #1 on
Hyperspectral Image Classification
on Houston
(using extra training data)
Evaluating the Performance of Reinforcement Learning Algorithms
Performance evaluations are critical for quantifying algorithmic advances in reinforcement learning.
Matching Questions and Answers in Dialogues from Online Forums
Matching question-answer relations between two turns in conversations is not only the first step in analyzing dialogue structures, but also valuable for training dialogue systems.
