SOTAVerified

Automated Essay Scoring

Essay scoring: Automated Essay Scoring is the task of assigning a score to an essay, usually in the context of assessing the language ability of a language learner. The quality of an essay is affected by the following four primary dimensions: topic relevance, organization and coherence, word usage and sentence complexity, and grammar and mechanics.

Source: A Joint Model for Multimodal Document Quality Assessment

Papers

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Showing 11–20 of 104 papers

TitleStatusHype
Automated Essay Scoring based on Two-Stage LearningCode1
Enhancing Marker Scoring Accuracy through Ordinal Confidence Modelling in Educational Assessments—0
Automated Essay Scoring Incorporating Annotations from Automated Feedback Systems—0
Composable Cross-prompt Essay Scoring by Merging Models—0
CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring—0
TRATES: Trait-Specific Rubric-Assisted Cross-Prompt Essay Scoring—0
LCES: Zero-shot Automated Essay Scoring via Pairwise Comparisons Using Large Language Models—0
Do We Need a Detailed Rubric for Automated Essay Scoring using Large Language Models?—0
Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring?—0
Evolution of AI in Education: Agentic Workflows—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural Pairwise Contrastive Regression (NPCR)Quadratic Weighted Kappa0.82—Unverified
2Tran-BERT-MS-ML-RQuadratic Weighted Kappa0.79—Unverified
3Considering-Content-XLNetQuadratic Weighted Kappa0.79—Unverified
4HISK+BOSWEQuadratic Weighted Kappa0.79—Unverified
5SkipFlowQuadratic Weighted Kappa0.76—Unverified
6MHMLWQuadratic Weighted Kappa0.76—Unverified
7AFQuadratic Weighted Kappa0.73—Unverified
8FDAQuadratic Weighted Kappa0.71—Unverified