Cover Image

Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chu, Yucheng, He, Peng, Li, Hang, Han, Haoyu, Yang, Kaiqi, Xue, Yu, Li, Tingting, Krajcik, Joseph, Tang, Jiliang
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Flat to Structural: Enhancing Automated Short Answer Grading with GraphRAG
by: Chu, Yucheng, et al.
Published: (2026)

Optimizing In-Context Demonstrations for LLM-based Automated Grading
by: Chu, Yucheng, et al.
Published: (2026)

Confusion-Aware Rubric Optimization for LLM-based Automated Grading
by: Chu, Yucheng, et al.
Published: (2026)

LLM-based Automated Grading with Human-in-the-Loop
by: Chu, Yucheng, et al.
Published: (2025)

How Uncertain Is the Grade? A Benchmark of Uncertainty Metrics for LLM-Based Automatic Assessment
by: Li, Hang, et al.
Published: (2026)

A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization
by: Chu, Yucheng, et al.
Published: (2024)

Reasoning by Exploration: A Unified Approach to Retrieval and Generation over Graphs
by: Han, Haoyu, et al.
Published: (2025)

An Artificial Intelligence‐Enhanced Assessment Framework for Analyzing Middle School Science Students’ Written Responses
by: Namsoo Shin, et al.
Published: (2026)

Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
by: Li, Hang, et al.
Published: (2025)

A LLM-Driven Multi-Agent Systems for Professional Development of Mathematics Teachers
by: Yang, Kaiqi, et al.
Published: (2025)

Iterative LLM-Based Generation and Refinement of Distracting Conditions in Math Word Problems
by: Yang, Kaiqi, et al.
Published: (2025)

Right Answer at the Right Time - Temporal Retrieval-Augmented Generation via Graph Summarization
by: Zhu, Zulun, et al.
Published: (2025)

Content Knowledge Identification with Multi-Agent Large Language Models (LLMs)
by: Yang, Kaiqi, et al.
Published: (2024)

Why Retrieval-Augmented Generation Fails: A Graph Perspective
by: Guo, Kai, et al.
Published: (2026)

Spectral-Aware Augmentation for Enhanced Graph Representation Learning
by: Yang, Kaiqi, et al.
Published: (2023)

Generative Language Models with Retrieval Augmented Generation for Automated Short Answer Scoring
by: Wang, Zifan, et al.
Published: (2024)

Learning Progression-Guided AI Evaluation of Scientific Models To Support Diverse Multi-Modal Understanding in NGSS Classroom
by: Kaldaras, Leonora, et al.
Published: (2025)

Are Large Language Models (LLMs) Good Social Predictors?
by: Yang, Kaiqi, et al.
Published: (2024)

Assessing the Nature of Learners' Science Content Understandings as a Result of Utilizing On-Line Resources.
by: Hoffman, Joseph L., et al.
Published: (1999)

Retrieval-Augmented Generation with Graphs (GraphRAG)
by: Han, Haoyu, et al.
Published: (2024)

Enhancing Security and Strengthening Defenses in Automated Short-Answer Grading Systems
by: Yarmohammadtoosky, Sahar, et al.
Published: (2025)

Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever
by: Li, Hang, et al.
Published: (2024)

Beyond Static Retrieval: Opportunities and Pitfalls of Iterative Retrieval in GraphRAG
by: Guo, Kai, et al.
Published: (2025)

Grade Guard: A Smart System for Short Answer Automated Grading
by: Dadu, Niharika, et al.
Published: (2025)

Estimating LLM Grading Ability and Response Difficulty in Automatic Short Answer Grading via Item Response Theory
by: Cong, Longwei, et al.
Published: (2026)

Differentially Private Retrieval-Augmented Generation
by: Tang, Tingting, et al.
Published: (2026)

Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions
by: Li, Hang, et al.
Published: (2024)

Confidence Estimation in Automatic Short Answer Grading with LLMs
by: Cong, Longwei, et al.
Published: (2026)

Beyond Partisan Leaning: A Comparative Analysis of Political Bias in Large Language Models
by: Peng, Tai-Quan, et al.
Published: (2024)

LA-RAG:Enhancing LLM-based ASR Accuracy with Retrieval-Augmented Generation
by: Li, Shaojun, et al.
Published: (2024)

Predicting Retrieval Utility and Answer Quality in Retrieval-Augmented Generation
by: Tian, Fangzheng, et al.
Published: (2026)

MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning
by: Li, Jiliang, et al.
Published: (2024)

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
by: Zeng, Shenglai, et al.
Published: (2024)

Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation
by: Lin, Huifeng, et al.
Published: (2025)

ASAG2024: A Combined Benchmark for Short Answer Grading
by: Meyer, Gérôme, et al.
Published: (2024)

Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data
by: Zeng, Shenglai, et al.
Published: (2024)

Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases
by: Lei, Yongjia, et al.
Published: (2025)

Enhancing Multi-Domain Automatic Short Answer Grading through an Explainable Neuro-Symbolic Pipeline
by: Künnecke, Felix, et al.
Published: (2024)

Retrieval Augmented Comic Image Generation
by: Shui, Yunhao, et al.
Published: (2025)

Evaluating Quality of Answers for Retrieval-Augmented Generation: A Strong LLM Is All You Need
by: Wang, Yang, et al.
Published: (2024)