Cover Image

Evaluating Self-Generated Documents for Enhancing Retrieval-Augmented Generation with Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Jiatao, Hu, Xinyu, Yin, Xunjian, Wan, Xiaojun
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SMART-RAG: Selection using Determinantal Matrices for Augmented Retrieval
by: Li, Jiatao, et al.
Published: (2024)

Error-Robust Retrieval for Chinese Spelling Check
by: Yin, Xunjian, et al.
Published: (2022)

Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability
by: Hu, Xinyu, et al.
Published: (2024)

ContraSolver: Self-Alignment of Language Models by Resolving Internal Preference Contradictions
by: Zhang, Xu, et al.
Published: (2024)

Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation
by: Yin, Xunjian, et al.
Published: (2024)

AGENT-X: Adaptive Guideline-based Expert Network for Threshold-free AI-generated teXt detection
by: Li, Jiatao, et al.
Published: (2025)

DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language Models
by: Xie, Jinxiang, et al.
Published: (2024)

Aspect-Guided Multi-Level Perturbation Analysis of Large Language Models in Automated Peer Review
by: Li, Jiatao, et al.
Published: (2025)

Harnessing Rule-Based Reinforcement Learning for Enhanced Grammatical Error Correction
by: Li, Yilin, et al.
Published: (2025)

Analyzing Cognitive Differences Among Large Language Models through the Lens of Social Worldview
by: Li, Jiatao, et al.
Published: (2025)

CFunModel: A "Funny" Language Model Capable of Chinese Humor Generation and Processing
by: Yu, Zhenghan, et al.
Published: (2025)

Evaluating, Understanding, and Improving Constrained Text Generation for Large Language Models
by: Chen, Xiang, et al.
Published: (2023)

Who Writes What: Unveiling the Impact of Author Roles on AI-generated Text Detection
by: Li, Jiatao, et al.
Published: (2025)

LEDOM: Reverse Language Model
by: Yin, Xunjian, et al.
Published: (2025)

After Retrieval, Before Generation: Enhancing the Trustworthiness of Large Language Models in Retrieval-Augmented Generation
by: Dai, Xinbang, et al.
Published: (2025)

EAMA : Entity-Aware Multimodal Alignment Based Approach for News Image Captioning
by: Zhang, Junzhe, et al.
Published: (2024)

MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency
by: Zhang, Junzhe, et al.
Published: (2024)

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey
by: Gan, Aoran, et al.
Published: (2025)

Retrieval-Augmented Generation for Large Language Models: A Survey
by: Gao, Yunfan, et al.
Published: (2023)

Evaluation of Attribution Bias in Generator-Aware Retrieval-Augmented Large Language Models
by: Abolghasemi, Amin, et al.
Published: (2024)

Align Documents to Questions: Question-Oriented Document Rewriting for Retrieval-Augmented Generation
by: Li, Jiaang, et al.
Published: (2026)

Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation
by: Gao, Mingqi, et al.
Published: (2024)

Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models
by: Li, Mingda, et al.
Published: (2024)

Evaluating Retrieval Augmented Generative Models for Document Queries in Transportation Safety
by: Melton, Chad, et al.
Published: (2025)

Enhancing Pancreatic Cancer Staging with Large Language Models: The Role of Retrieval-Augmented Generation
by: Johno, Hisashi, et al.
Published: (2025)

A Large Language Model-based Framework for Semi-Structured Tender Document Retrieval-Augmented Generation
by: Zhao, Yilong, et al.
Published: (2024)

Understanding the Interplay between Parametric and Contextual Knowledge for Large Language Models
by: Cheng, Sitao, et al.
Published: (2024)

Exploring Causal Effect of Social Bias on Faithfulness Hallucinations in Large Language Models
by: Zhang, Zhenliang, et al.
Published: (2025)

SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation
by: Zhao, Xinping, et al.
Published: (2024)

CtrlRAG: Black-box Document Poisoning Attacks for Retrieval-Augmented Generation of Large Language Models
by: Sui, Runqi
Published: (2025)

Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation
by: Yuan, Dun, et al.
Published: (2025)

Exploring the Multilingual NLG Evaluation Abilities of LLM-Based Evaluators
by: Chang, Jiayi, et al.
Published: (2025)

LIT-RAGBench: Benchmarking Generator Capabilities of Large Language Models in Retrieval-Augmented Generation
by: Itai, Koki, et al.
Published: (2026)

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models
by: Yu, Tian, et al.
Published: (2024)

Towards Comprehensive Vietnamese Retrieval-Augmented Generation and Large Language Models
by: Duc, Nguyen Quang, et al.
Published: (2024)

MINOS: A Multimodal Evaluation Model for Bidirectional Generation Between Image and Text
by: Zhang, Junzhe, et al.
Published: (2025)

Retrieval Augmented Generation based Large Language Models for Causality Mining
by: Naduvilakandy, Thushara Manjari, et al.
Published: (2025)

A Survey on Retrieval And Structuring Augmented Generation with Large Language Models
by: Jiang, Pengcheng, et al.
Published: (2025)

Adapting Large Language Models for Multi-Domain Retrieval-Augmented-Generation
by: Misrahi, Alexandre, et al.
Published: (2025)

Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models
by: Liu, Shuliang, et al.
Published: (2025)