automatic short answer grading

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Most implemented papers archive 2025-07-28

6 shown of 6 papers with code (28 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Automatic Short Answer Grading and Feedback Using Text Mining Methods
  27 Jul 2018 2 repositories listed
  The main novelty in this paper is that we design a model to predict marks based on the similarities between the student answers and the model answer.
• Multi-Relational Graph Transformer for Automatic Short Answer Grading
  1 Jul 2022 1 repository listed
  A Graph Transformer is used to prepare relation-specific token embeddings within each subgraph, then aggregated to obtain a subgraph representation.
• Automatic Short Math Answer Grading via In-context Meta-learning
  30 May 2022 1 repository listed
  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.
• Your Answer is Incorrect... Would you like to know why? Introducing a Bilingual Short Answer Feedback Dataset
  1 May 2022 1 repository listed
  Handing in a paper or exercise and merely receiving “bad” or “incorrect” as feedback is not very helpful when the goal is to improve.
• Cheating Automatic Short Answer Grading: On the Adversarial Usage of Adjectives and Adverbs
  20 Jan 2022 1 repository listed
  While automatic short answer grading models are beginning to compare to human performance on some datasets, their robustness, especially to adversarially manipulated data, is questionable.
• Comparative Evaluation of Pretrained Transfer Learning Models on Automatic Short Answer Grading
  2 Sep 2020 1 repository listed
  Automatic Short Answer Grading (ASAG) is the process of grading the student answers by computational approaches given a question and the desired answer.