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ArguLens system offers open-source automated essay scoring with feedback

By PulseAugur Editorial · [1 sources] ·

Researchers have developed ArguLens, an open-source system designed for automated essay scoring (AES) and generating feedback. Unlike traditional AES systems that provide only a holistic score, ArguLens breaks down the scoring process into three distinct, locally deployable components: a discourse-move classifier, a feature-based scorer, and a feedback generator. This modular approach aims to offer more interpretable evidence for scores and address data privacy concerns associated with closed APIs. The system, built using models like Qwen2.5-7B-Instruct and Qwen2.5-14BInstruct, has demonstrated strong performance in its classification and scoring modules. AI

IMPACT Provides a more transparent and privacy-preserving alternative for automated essay scoring, potentially improving educational feedback systems.

RANK_REASON The item describes a research paper detailing an open-source system for automated essay scoring. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

ArguLens system offers open-source automated essay scoring with feedback

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The item describes a research paper detailing an open-source system for automated essay scoring. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Weiran Wang, Hongxiang Shi, Huitao Tang, Wenjuan Qin ·

    ArguLens: An Open-Source System for Automated Essay Scoring and Label-Aware Feedback Generation

    arXiv:2608.17356v1 Announce Type: new Abstract: 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 deployable s…

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