Saved in:
| Main Authors: | Xu, Lingnan, Feng, Chong, Zhang, Kaiyuan, Zhengyong, Liu, Xu, Wenqiang, Meng, Fanqing |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.04293 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Privacy-Aware Decoding: Mitigating Privacy Leakage of Large Language Models in Retrieval-Augmented Generation
by: Wang, Haoran, et al.
Published: (2025)
by: Wang, Haoran, et al.
Published: (2025)
BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine
by: Li, Mingchen, et al.
Published: (2024)
by: Li, Mingchen, et al.
Published: (2024)
Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models
by: Yu, Tian, et al.
Published: (2024)
by: Yu, Tian, et al.
Published: (2024)
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
by: Xu, Shicheng, et al.
Published: (2024)
by: Xu, Shicheng, et al.
Published: (2024)
Evaluation of Attribution Bias in Generator-Aware Retrieval-Augmented Large Language Models
by: Abolghasemi, Amin, et al.
Published: (2024)
by: Abolghasemi, Amin, et al.
Published: (2024)
A Survey on Retrieval And Structuring Augmented Generation with Large Language Models
by: Jiang, Pengcheng, et al.
Published: (2025)
by: Jiang, Pengcheng, et al.
Published: (2025)
Large Language Model Augmented Exercise Retrieval for Personalized Language Learning
by: Xu, Austin, et al.
Published: (2024)
by: Xu, Austin, et al.
Published: (2024)
Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness
by: Li, Mingchen, et al.
Published: (2024)
by: Li, Mingchen, et al.
Published: (2024)
A Large Language Model-based Framework for Semi-Structured Tender Document Retrieval-Augmented Generation
by: Zhao, Yilong, et al.
Published: (2024)
by: Zhao, Yilong, et al.
Published: (2024)
TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning
by: Ni, Hang, et al.
Published: (2025)
by: Ni, Hang, et al.
Published: (2025)
Learning to Erase Private Knowledge from Multi-Documents for Retrieval-Augmented Large Language Models
by: Wang, Yujing, et al.
Published: (2025)
by: Wang, Yujing, et al.
Published: (2025)
Metacognitive Retrieval-Augmented Large Language Models
by: Zhou, Yujia, et al.
Published: (2024)
by: Zhou, Yujia, et al.
Published: (2024)
TRIZ-RAGNER: A Retrieval-Augmented Large Language Model for TRIZ-Aware Named Entity Recognition in Patent-Based Contradiction Mining
by: Xu, Zitong, et al.
Published: (2026)
by: Xu, Zitong, et al.
Published: (2026)
Evaluating Self-Generated Documents for Enhancing Retrieval-Augmented Generation with Large Language Models
by: Li, Jiatao, et al.
Published: (2024)
by: Li, Jiatao, et al.
Published: (2024)
RAAMove: A Corpus for Analyzing Moves in Research Article Abstracts
by: Li, Hongzheng, et al.
Published: (2024)
by: Li, Hongzheng, et al.
Published: (2024)
CRAT: A Multi-Agent Framework for Causality-Enhanced Reflective and Retrieval-Augmented Translation with Large Language Models
by: Chen, Meiqi, et al.
Published: (2024)
by: Chen, Meiqi, et al.
Published: (2024)
Entropy-Based Decoding for Retrieval-Augmented Large Language Models
by: Qiu, Zexuan, et al.
Published: (2024)
by: Qiu, Zexuan, et al.
Published: (2024)
Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation
by: Xu, Derong, et al.
Published: (2024)
by: Xu, Derong, et al.
Published: (2024)
Retrieval-Augmented Generation for Large Language Models: A Survey
by: Gao, Yunfan, et al.
Published: (2023)
by: Gao, Yunfan, et al.
Published: (2023)
Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models
by: Li, Mingda, et al.
Published: (2024)
by: Li, Mingda, et al.
Published: (2024)
RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models
by: Tran, Hieu, et al.
Published: (2024)
by: Tran, Hieu, et al.
Published: (2024)
RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning
by: Xu, Jian, et al.
Published: (2025)
by: Xu, Jian, et al.
Published: (2025)
CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models
by: Lyu, Yuanjie, et al.
Published: (2024)
by: Lyu, Yuanjie, et al.
Published: (2024)
Retrieval Augmented Instruction Tuning for Open NER with Large Language Models
by: Xie, Tingyu, et al.
Published: (2024)
by: Xie, Tingyu, et al.
Published: (2024)
Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models
by: Wen, Xumeng, et al.
Published: (2025)
by: Wen, Xumeng, et al.
Published: (2025)
R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models
by: Zhang, Taolin, et al.
Published: (2024)
by: Zhang, Taolin, et al.
Published: (2024)
Pardon? Evaluating Conversational Repair in Large Audio-Language Models
by: Huang, Shuanghong, et al.
Published: (2026)
by: Huang, Shuanghong, et al.
Published: (2026)
Language-Coupled Reinforcement Learning for Multilingual Retrieval-Augmented Generation
by: Qi, Rui, et al.
Published: (2026)
by: Qi, Rui, et al.
Published: (2026)
RAD-Bench: Evaluating Large Language Models Capabilities in Retrieval Augmented Dialogues
by: Kuo, Tzu-Lin, et al.
Published: (2024)
by: Kuo, Tzu-Lin, et al.
Published: (2024)
Tool Calling: Enhancing Medication Consultation via Retrieval-Augmented Large Language Models
by: Huang, Zhongzhen, et al.
Published: (2024)
by: Huang, Zhongzhen, et al.
Published: (2024)
TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning
by: Yu, Xiaohan, et al.
Published: (2025)
by: Yu, Xiaohan, et al.
Published: (2025)
Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning
by: Xu, Yongxin, et al.
Published: (2024)
by: Xu, Yongxin, et al.
Published: (2024)
MERIT: Multilingual Expert-Reward Informed Tuning for Chinese-Centric Low-Resource Machine Translation
by: Lu, Zhixiang, et al.
Published: (2026)
by: Lu, Zhixiang, et al.
Published: (2026)
CtrlRAG: Black-box Document Poisoning Attacks for Retrieval-Augmented Generation of Large Language Models
by: Sui, Runqi
Published: (2025)
by: Sui, Runqi
Published: (2025)
ERAGent: Enhancing Retrieval-Augmented Language Models with Improved Accuracy, Efficiency, and Personalization
by: Shi, Yunxiao, et al.
Published: (2024)
by: Shi, Yunxiao, et al.
Published: (2024)
LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation
by: Sobhan, Shadman, et al.
Published: (2025)
by: Sobhan, Shadman, et al.
Published: (2025)
Structure-Aware Decoding Mechanisms for Complex Entity Extraction with Large-Scale Language Models
by: Qiu, Zhimin, et al.
Published: (2025)
by: Qiu, Zhimin, et al.
Published: (2025)
Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning
by: Zhang, Zongmeng, et al.
Published: (2024)
by: Zhang, Zongmeng, 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)
by: Gan, Aoran, et al.
Published: (2025)
RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models
by: Hao, Haoran, et al.
Published: (2024)
by: Hao, Haoran, et al.
Published: (2024)
Similar Items
-
Privacy-Aware Decoding: Mitigating Privacy Leakage of Large Language Models in Retrieval-Augmented Generation
by: Wang, Haoran, et al.
Published: (2025) -
BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine
by: Li, Mingchen, et al.
Published: (2024) -
Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models
by: Yu, Tian, et al.
Published: (2024) -
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
by: Xu, Shicheng, et al.
Published: (2024) -
Evaluation of Attribution Bias in Generator-Aware Retrieval-Augmented Large Language Models
by: Abolghasemi, Amin, et al.
Published: (2024)