Augmenting Textual Generation via Topology Aware Retrieval
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Yu, Lipka, Nedim, Zhang, Ruiyi, Siu, Alexa, Zhao, Yuying, Ni, Bo, Wang, Xin, Rossi, Ryan, Derr, Tyler |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Bridging Review Sparsity in Recommendation with Textual Edge Graph Representation
by: Wang, Leyao, et al.
Published: (2025)
by: Wang, Leyao, et al.
Published: (2025)
Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases
by: Lei, Yongjia, et al.
Published: (2025)
by: Lei, Yongjia, et al.
Published: (2025)
SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation
by: Zhao, Yuying, et al.
Published: (2025)
by: Zhao, Yuying, et al.
Published: (2025)
Document Attribution: Examining Citation Relationships using Large Language Models
by: Rawte, Vipula, et al.
Published: (2025)
by: Rawte, Vipula, et al.
Published: (2025)
Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation
by: Zhao, Yuying, et al.
Published: (2024)
by: Zhao, Yuying, et al.
Published: (2024)
Fairness and Diversity in Recommender Systems: A Survey
by: Zhao, Yuying, et al.
Published: (2023)
by: Zhao, Yuying, et al.
Published: (2023)
MODS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collections
by: Balepur, Nishant, et al.
Published: (2025)
by: Balepur, Nishant, et al.
Published: (2025)
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
by: Xia, Yu, et al.
Published: (2024)
by: Xia, Yu, et al.
Published: (2024)
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness
by: Zhao, Yuying, et al.
Published: (2024)
by: Zhao, Yuying, et al.
Published: (2024)
SmartChunk Retrieval: Query-Aware Chunk Compression with Planning for Efficient Document RAG
by: Zhang, Xuechen, et al.
Published: (2025)
by: Zhang, Xuechen, et al.
Published: (2025)
Fairness-Aware Retrieval Optimization for Retrieval-Augmented Generation
by: Zhao, Yingqi, et al.
Published: (2026)
by: Zhao, Yingqi, et al.
Published: (2026)
ArbGraph: Conflict-Aware Evidence Arbitration for Reliable Long-Form Retrieval-Augmented Generation
by: Niu, Qingying, et al.
Published: (2026)
by: Niu, Qingying, et al.
Published: (2026)
Knowledge Graph-based Session Recommendation with Adaptive Propagation
by: Wang, Yu, et al.
Published: (2024)
by: Wang, Yu, et al.
Published: (2024)
Test-Time Strategies for More Efficient and Accurate Agentic RAG
by: Zhang, Brian, et al.
Published: (2026)
by: Zhang, Brian, et al.
Published: (2026)
Doctor-RAG: Failure-Aware Repair for Agentic Retrieval-Augmented Generation
by: Jiao, Shuguang, et al.
Published: (2026)
by: Jiao, Shuguang, et al.
Published: (2026)
R^3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation
by: Wang, Zihan, et al.
Published: (2024)
by: Wang, Zihan, et al.
Published: (2024)
Retrieval-Augmented Generation with Graphs (GraphRAG)
by: Han, Haoyu, et al.
Published: (2024)
by: Han, Haoyu, et al.
Published: (2024)
MIXRAG : Mixture-of-Experts Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
by: Liu, Lihui, et al.
Published: (2025)
by: Liu, Lihui, et al.
Published: (2025)
Query-Aware Graph Neural Networks for Enhanced Retrieval-Augmented Generation
by: Agrawal, Vibhor, et al.
Published: (2025)
by: Agrawal, Vibhor, et al.
Published: (2025)
R$^3$AG: Retriever Routing for Retrieval-Augmented Generation
by: Zhao, Tong, et al.
Published: (2026)
by: Zhao, Tong, et al.
Published: (2026)
HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation
by: Liu, Hao, et al.
Published: (2025)
by: Liu, Hao, et al.
Published: (2025)
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
by: Wang, Yuhao, et al.
Published: (2024)
by: Wang, Yuhao, et al.
Published: (2024)
Improve Temporal Awareness of LLMs for Sequential Recommendation
by: Chu, Zhendong, et al.
Published: (2024)
by: Chu, Zhendong, et al.
Published: (2024)
Context Awareness Gate For Retrieval Augmented Generation
by: Heydari, Mohammad Hassan, et al.
Published: (2024)
by: Heydari, Mohammad Hassan, et al.
Published: (2024)
Rethinking Retrieval-Augmentation as Synthesis: A Query-Aware Context Merging Approach
by: Guo, Jiarui, et al.
Published: (2026)
by: Guo, Jiarui, et al.
Published: (2026)
PoisonArena: Uncovering Competing Poisoning Attacks in Retrieval-Augmented Generation
by: Chen, Liuji, et al.
Published: (2025)
by: Chen, Liuji, et al.
Published: (2025)
Federated Recommendation via Hybrid Retrieval Augmented Generation
by: Zeng, Huimin, et al.
Published: (2024)
by: Zeng, Huimin, et al.
Published: (2024)
GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Generation
by: Miao, Ruizhong, et al.
Published: (2026)
by: Miao, Ruizhong, et al.
Published: (2026)
Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation
by: Wang, Shijie, et al.
Published: (2025)
by: Wang, Shijie, et al.
Published: (2025)
HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases
by: Lee, Meng-Chieh, et al.
Published: (2024)
by: Lee, Meng-Chieh, et al.
Published: (2024)
Parametric Retrieval Augmented Generation
by: Su, Weihang, et al.
Published: (2025)
by: Su, Weihang, et al.
Published: (2025)
Identifying Origins of Place Names via Retrieval Augmented Generation
by: Horde-Vo, Alexis, et al.
Published: (2025)
by: Horde-Vo, Alexis, et al.
Published: (2025)
Understanding Parametric Knowledge Injection in Retrieval-Augmented Generation
by: Tang, Minghao, et al.
Published: (2025)
by: Tang, Minghao, et al.
Published: (2025)
Mixture-of-Experts Knowledge Graph Retrieval-Augmented Generation for Multi-Agent LLM-based Recommendation
by: Wang, Shijie, et al.
Published: (2026)
by: Wang, Shijie, et al.
Published: (2026)
AdaGATE: Adaptive Gap-Aware Token-Efficient Evidence Assembly for Multi-Hop Retrieval-Augmented Generation
by: Guo, Yilin, et al.
Published: (2026)
by: Guo, Yilin, et al.
Published: (2026)
RaSeRec: Retrieval-Augmented Sequential Recommendation
by: Zhao, Xinping, et al.
Published: (2024)
by: Zhao, Xinping, et al.
Published: (2024)
HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation
by: Guo, Jinyu, et al.
Published: (2025)
by: Guo, Jinyu, et al.
Published: (2025)
Chain-of-Retrieval Augmented Generation
by: Wang, Liang, et al.
Published: (2025)
by: Wang, Liang, et al.
Published: (2025)
RAGPart & RAGMask: Retrieval-Stage Defenses Against Corpus Poisoning in Retrieval-Augmented Generation
by: Pathmanathan, Pankayaraj, et al.
Published: (2025)
by: Pathmanathan, Pankayaraj, et al.
Published: (2025)
SF-RAG: Structure-Fidelity Retrieval-Augmented Generation for Academic Question Answering
by: Yu, Rui, et al.
Published: (2026)
by: Yu, Rui, et al.
Published: (2026)
Similar Items
-
Towards Bridging Review Sparsity in Recommendation with Textual Edge Graph Representation
by: Wang, Leyao, et al.
Published: (2025) -
Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases
by: Lei, Yongjia, et al.
Published: (2025) -
SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation
by: Zhao, Yuying, et al.
Published: (2025) -
Document Attribution: Examining Citation Relationships using Large Language Models
by: Rawte, Vipula, et al.
Published: (2025) -
Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation
by: Zhao, Yuying, et al.
Published: (2024)