:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Yunfeng, Zhang, Jiqun, Liao, Guofu, Shi, Xue, Liu, Junhong
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2502.15583
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data
by: Li, Yunfeng, et al.
Published: (2025)

RAIR: Retrieval-Augmented Iterative Refinement for Chinese Spelling Correction
by: Liang, Junhong, et al.
Published: (2025)

ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval
by: Mao, Kelong, et al.
Published: (2024)

Rec-AD: An Efficient Computation Framework for FDIA Detection Based on Tensor Train Decomposition and Deep Learning Recommendation Model
by: Li, Yunfeng, et al.
Published: (2025)

RPO: Retrieval Preference Optimization for Robust Retrieval-Augmented Generation
by: Yan, Shi-Qi, et al.
Published: (2025)

Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement
by: Tan, Yuqiao, et al.
Published: (2025)

Improving Tool Retrieval by Leveraging Large Language Models for Query Generation
by: Kachuee, Mohammad, et al.
Published: (2024)

ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation
by: Lee, Zhicheng, et al.
Published: (2025)

RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models
by: Tran, Hieu, et al.
Published: (2024)

Enhancing Tool Retrieval with Iterative Feedback from Large Language Models
by: Xu, Qiancheng, et al.
Published: (2024)

VeriLoRA: Fine-Tuning Large Language Models with Verifiable Security via Zero-Knowledge Proofs
by: Liao, Guofu, et al.
Published: (2025)

Leveraging Large Language Models for Generalizing Peephole Optimizations
by: Liao, Chunhao, et al.
Published: (2026)

R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models
by: Zhang, Taolin, et al.
Published: (2024)

MIRROR: A Multi-Agent Framework with Iterative Adaptive Revision and Hierarchical Retrieval for Optimization Modeling in Operations Research
by: Shi, Yifan, et al.
Published: (2026)

KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation
by: Fang, Jinyuan, et al.
Published: (2025)

Learner-Tailored Program Repair: A Solution Generator with Iterative Edit-Driven Retrieval Enhancement
by: Dai, Zhenlong, et al.
Published: (2026)

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

Leveraging Inter-Chunk Interactions for Enhanced Retrieval in Large Language Model-Based Question Answering
by: Guo, Tiezheng, et al.
Published: (2024)

SCORE: Story Coherence and Retrieval Enhancement for AI Narratives
by: Yi, Qiang, et al.
Published: (2025)

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

Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions
by: Xiong, Guangzhi, et al.
Published: (2024)

DioR: Adaptive Cognitive Detection and Contextual Retrieval Optimization for Dynamic Retrieval-Augmented Generation
by: Guo, Hanghui, et al.
Published: (2025)

LGM: Enhancing Large Language Models with Conceptual Meta-Relations and Iterative Retrieval
by: Lei, Wenchang, et al.
Published: (2025)

KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing
by: Li, Rui, et al.
Published: (2025)

ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models
by: Luo, Haoran, et al.
Published: (2023)

Learning to Retrieve Iteratively for In-Context Learning
by: Chen, Yunmo, et al.
Published: (2024)

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

Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation
by: Dong, Guanting, et al.
Published: (2025)

Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation
by: Lyu, Yuanjie, et al.
Published: (2024)

Chat-Driven Text Generation and Interaction for Person Retrieval
by: Xie, Zequn, et al.
Published: (2025)

Tool Retrieval Bridge: Aligning Vague Instructions with Retriever Preferences via Bridge Model
by: Chen, Kunfeng, et al.
Published: (2026)

ParetoRAG: Leveraging Sentence-Context Attention for Robust and Efficient Retrieval-Augmented Generation
by: Yao, Ruobing, et al.
Published: (2025)

Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation
by: Sun, Jiashuo, et al.
Published: (2025)

Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation
by: Zou, Deyu, et al.
Published: (2025)

Stateful Evidence-Driven Retrieval-Augmented Generation with Iterative Reasoning
by: Dong, Qi, et al.
Published: (2026)

IterKey: Iterative Keyword Generation with LLMs for Enhanced Retrieval Augmented Generation
by: Hayashi, Kazuki, et al.
Published: (2025)

Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning
by: Zhang, Zongmeng, et al.
Published: (2024)

Tool Calling: Enhancing Medication Consultation via Retrieval-Augmented Large Language Models
by: Huang, Zhongzhen, et al.
Published: (2024)

Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation
by: Xie, Guofu, et al.
Published: (2025)