mlsanityData to 14 Oct 2026

Automated Genre-Aware Article Scoring and Feedback Using Large Language Models

arXiv 2410.14165 ↗First posted 18 Oct 2024cs.CLcited by 7

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Abstract (arXiv)

This paper focuses on the development of an advanced intelligent article scoring system that not only assesses the overall quality of written work but also offers detailed feature-based scoring tailored to various article genres. By integrating the pre-trained BERT model with the large language model Chat-GPT, the system gains a deep understanding of both the content and structure of the text, enabling it to provide a thorough evaluation along with targeted suggestions for improvement. Experimental results demonstrate that this system outperforms traditional scoring methods across multiple public datasets, particularly in feature-based assessments, offering a more accurate reflection of the quality of different article types. Moreover, the system generates personalized feedback to assist users in enhancing their writing skills, underscoring the potential and practical value of automated scoring technologies in educational contexts.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 14 of its 25 references that are in the map. First posted on arXiv 18 Oct 2024.

Builds on

14 of 25 references.

References · 14

  1. 2023A Survey on Evaluation of Large Language Modelscited by 1,242
  2. 2023LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Modelscited by 101
  3. 2023Practical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Reviewcited by 83
  4. 2024Survival Prediction Across Diverse Cancer Types Using Neural Networkscited by 80
  5. 2023Applying Large Language Models and Chain-of-Thought for Automatic Scoringcited by 69
  6. 2024Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Miningcited by 47
  7. 2024Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid and Tanh Functioncited by 16
  8. 2024Wasserstein Distance-Weighted Adversarial Network for Cross-Domain Credit Risk Assessmentcited by 11
  9. 2024Applying Hybrid Graph Neural Networks to Strengthen Credit Risk Analysiscited by 8
  10. 2024Convolutional Neural Networks for Predictive Modeling of Lung Diseasecited by 7
  11. 2024Enhancing Deep Learning with Optimized Gradient Descent: Bridging Numerical Methods and Neural Network Trainingcited by 7
  12. 2024Reducing Bias in Deep Learning Optimization: The RSGDM Approachcited by 7
2 more
  1. 2024Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentationcited by 6
  2. 2024Graph Neural Network Framework for Sentiment Analysis Using Syntactic Featurecited by 6

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Cited by year

Citing papers per year: 2024: 6; 2025: 1.

7 papers.

  1. 2024LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methodscited by 465
  2. 2024Emotion-Aware Interaction Design in Intelligent User Interface Using Multi-Modal Deep Learningcited by 13
  3. 2024Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classificationcited by 11
  4. 2024Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphscited by 9
  5. 2024Enhancing Few-Shot Learning with Integrated Data and GAN Model Approachescited by 9
  6. 2024Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environmentscited by 7
  7. 2025Judging It, Washing It: Scoring and Greenwashing Corporate Climate Disclosures using Large Language Modelscited by 1