Automated Essay Scoring
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Benchmarks
ASAP-AES
Most implemented
Automated Essay Scoring based on Two-Stage Learning
Beyond Agreement: Diagnosing the Rationale Alignment of Automated Essay Scoring Methods based on Linguistically-informed Counterfactuals
Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation
Autoregressive Score Generation for Multi-trait Essay Scoring
Can Large Language Models Automatically Score Proficiency of Written Essays?
VerAs: Verify then Assess STEM Lab Reports
Papers
The Role of Implicit and Explicit Demographic Signals in Large Language Model-based Student Assessment
Large Language Models are now common in student assessment, but we know little about how student demographics affect their use. Sometimes, considering student demographics may be necessary -- for example, to improve read…
Automated Essay ScoringQuestion AnsweringA Unified Framework to Elicit Structured Feedback for Interpretable Multi-Trait Essay Scoring
Multi-trait Automated Essay Scoring (AES) requires rubric-grounded reasoning across interdependent traits, rather than isolated score prediction. Existing feedback-enhanced methods often decouple feedback from scoring or…
Automated Essay ScoringArguLens: An Open-Source System for Automated Essay Scoring and Label-Aware Feedback Generation
Most automated essay scoring (AES) systems output a single holistic score without interpretable evidence and rely on closed APIs that introduce data privacy and cost barriers. We present ArguLens, an opensource, locally …
Automated Essay ScoringICLE++: Modeling Fine-Grained Traits for Holistic Essay Scoring
The majority of the recently-developed models for automated essay scoring (AES) are evaluated solely on the ASAP corpus. However, ASAP is not without its limitations. For instance, it is not clear whether models trained …
Automated Essay ScoringCost-efficient generative AI summarization for scalable automated essay scoring in educational assessment
Automated essay scoring (AES) enables scalable assessment and timely feedback but remains challenged by transformer input-length limitations, which can cause information loss when processing long essays. This study propo…
Automated Essay ScoringSemantic SimilarityInvestigating first-language bias in LLM-based automated essay scoring: A cross-prompt evaluation of an open-weight AI-model on TOEFL essays
This study examines the cross-prompt generalization and first-language (L1) scoring effects of a LoRA-adapted open-weight large language model (Gemma-3-27B-it) applied to automated essay scoring. Using the identical mode…
Automated Essay Scoring