:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Gao, Zengyi, Cao, Yukun, Wang, Hairu, Ke, Ao, Feng, Yuan, Xie, Xike, Zhou, S Kevin
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2501.09957
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SkewRoute: Training-Free LLM Routing for Knowledge Graph Retrieval-Augmented Generation via Score Skewness of Retrieved Context
by: Wang, Hairu, et al.
Published: (2025)

LEGO-GraphRAG: Modularizing Graph-based Retrieval-Augmented Generation for Design Space Exploration
by: Cao, Yukun, et al.
Published: (2024)

Path Pooling: Training-Free Structure Enhancement for Efficient Knowledge Graph Retrieval-Augmented Generation
by: Wang, Hairu, et al.
Published: (2025)

GraphInsight: Unlocking Insights in Large Language Models for Graph Structure Understanding
by: Cao, Yukun, et al.
Published: (2024)

See or Say Graphs: Agent-Driven Scalable Graph Structure Understanding with Vision-Language Models
by: Han, Shuo, et al.
Published: (2025)

Lego Sketch: A Scalable Memory-augmented Neural Network for Sketching Data Streams
by: Feng, Yuan, et al.
Published: (2025)

Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference
by: Feng, Yuan, et al.
Published: (2024)

CriticalKV: Optimizing KV Cache Eviction from an Output Perturbation Perspective
by: Feng, Yuan, et al.
Published: (2025)

KG-ViP: Bridging Knowledge Grounding and Visual Perception in Multi-modal LLMs for Visual Question Answering
by: Li, Zhiyang, et al.
Published: (2026)

Prototype-based Optimal Transport for Out-of-Distribution Detection
by: Ke, Ao, et al.
Published: (2024)

LLP: LLM-based Product Pricing in E-commerce
by: Wang, Hairu, et al.
Published: (2025)

Taming the Fragility of KV Cache Eviction in LLM Inference
by: Feng, Yuan, et al.
Published: (2025)

Knowledge Graph-Guided Retrieval Augmented Generation
by: Zhu, Xiangrong, et al.
Published: (2025)

FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation
by: Zhang, Zhuocheng, et al.
Published: (2025)

Structured Knowledge Representation through Contextual Pages for Retrieval-Augmented Generation
by: Li, Xinze, et al.
Published: (2026)

NaviRAG: Towards Active Knowledge Navigation for Retrieval-Augmented Generation
by: Dai, Jihao, et al.
Published: (2026)

Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching
by: Ma, Chuangtao, et al.
Published: (2025)

MoG: Mixture of Experts for Graph-based Retrieval-Augmented Generation
by: Yuan, Zheng, et al.
Published: (2026)

CritiPrefill: A Segment-wise Criticality-based Approach for Prefilling Acceleration in LLMs
by: Lv, Junlin, et al.
Published: (2024)

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

RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation
by: Zhang, Xuanwang, et al.
Published: (2024)

Plan of Knowledge: Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering
by: Qian, Xinying, et al.
Published: (2025)

RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts
by: Wu, Mingyan, et al.
Published: (2025)

DPCL-Diff: The Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning
by: Cao, Yukun, et al.
Published: (2024)

A Pilot Empirical Study on When and How to Use Knowledge Graphs as Retrieval Augmented Generation
by: Yuan, Xujie, et al.
Published: (2025)

Detecting Out-of-Distribution Samples via Conditional Distribution Entropy with Optimal Transport
by: Feng, Chuanwen, et al.
Published: (2024)

Research on Graph-Retrieval Augmented Generation Based on Historical Text Knowledge Graphs
by: Fan, Yang, et al.
Published: (2025)

Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation
by: Wang, Yuhao, et al.
Published: (2025)

Privacy-Preserving Reasoning with Knowledge-Distilled Parametric Retrieval Augmented Generation
by: Chen, Jinwen, et al.
Published: (2025)

Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering
by: Ning, Yunfeng, et al.
Published: (2025)

VAT-KG: Knowledge-Intensive Multimodal Knowledge Graph Dataset for Retrieval-Augmented Generation
by: Park, Hyeongcheol, et al.
Published: (2025)

When to Trust: A Causality-Aware Calibration Framework for Accurate Knowledge Graph Retrieval-Augmented Generation
by: Ren, Jing, et al.
Published: (2026)

Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs
by: Tang, Xiaqiang, et al.
Published: (2024)

SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation
by: Yao, Zijun, et al.
Published: (2024)

ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation
by: Huang, Pengcheng, et al.
Published: (2025)

A Survey on Knowledge-Oriented Retrieval-Augmented Generation
by: Cheng, Mingyue, et al.
Published: (2025)

ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation
by: Chen, Hao, et al.
Published: (2025)

Less is More: Denoising Knowledge Graphs For Retrieval Augmented Generation
by: Zheng, Yilun, et al.
Published: (2025)

FRAG: Toward Federated Vector Database Management for Collaborative and Secure Retrieval-Augmented Generation
by: Zhao, Dongfang
Published: (2024)

KG-Infused RAG: Augmenting Corpus-Based RAG with External Knowledge Graphs
by: Wu, Dingjun, et al.
Published: (2025)