Image de couverture de livre

Multiple Abstraction Level Retrieve Augment Generation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zheng, Zheng, Ni, Xinyi, Hong, Pengyu
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

ToolFactory: Automating Tool Generation by Leveraging LLM to Understand REST API Documentations
par: Ni, Xinyi, et autres
Publié: (2025)

Less is More: Denoising Knowledge Graphs For Retrieval Augmented Generation
par: Zheng, Yilun, et autres
Publié: (2025)

EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation
par: Zhu, Yinghao, et autres
Publié: (2024)

Enhancing Frame Detection with Retrieval Augmented Generation
par: Diallo, Papa Abdou Karim Karou, et autres
Publié: (2025)

Learning Retrieval Augmentation for Personalized Dialogue Generation
par: Huang, Qiushi, et autres
Publié: (2024)

Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation
par: Merth, Thomas, et autres
Publié: (2024)

Agentic Retrieval-Augmented Generation for Time Series Analysis
par: Ravuru, Chidaksh, et autres
Publié: (2024)

Disco-RAG: Discourse-Aware Retrieval-Augmented Generation
par: Liu, Dongqi, et autres
Publié: (2026)

SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation
par: Divekar, Abhishek, et autres
Publié: (2024)

Latent Abstraction for Retrieval-Augmented Generation
par: T, Ha Lan N., et autres
Publié: (2026)

An Analysis of Hyper-Parameter Optimization Methods for Retrieval Augmented Generation
par: Orbach, Matan, et autres
Publié: (2025)

Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation
par: Zhong, Zijie, et autres
Publié: (2024)

HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA
par: Chen, Xinyue, et autres
Publié: (2024)

Say Less, Mean More: Leveraging Pragmatics in Retrieval-Augmented Generation
par: Riaz, Haris, et autres
Publié: (2025)

Optimizing Retrieval-Augmented Generation: Analysis of Hyperparameter Impact on Performance and Efficiency
par: Ammar, Adel, et autres
Publié: (2025)

Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation
par: Liu, Tianyu, et autres
Publié: (2024)

Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation
par: Qi, Jirui, et autres
Publié: (2024)

Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
par: Zheng, Huaixiu Steven, et autres
Publié: (2023)

Executable Functional Abstractions: Inferring Generative Programs for Advanced Math Problems
par: Khan, Zaid, et autres
Publié: (2025)

HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation
par: Wu, Peilin, et autres
Publié: (2025)

Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge Graph
par: Prahlad, Deeksha, et autres
Publié: (2025)

Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs
par: Zhang, Haozhen, et autres
Publié: (2024)

Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation
par: Dong, Guanting, et autres
Publié: (2024)

Retrieval-Augmented Data Augmentation for Low-Resource Domain Tasks
par: Seo, Minju, et autres
Publié: (2024)

Enhancing Domain-Specific Retrieval-Augmented Generation: Synthetic Data Generation and Evaluation using Reasoning Models
par: Jadon, Aryan, et autres
Publié: (2025)

DynaGRAG | Exploring the Topology of Information for Advancing Language Understanding and Generation in Graph Retrieval-Augmented Generation
par: Thakrar, Karishma
Publié: (2024)

Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation
par: Zhang, Chenghao, et autres
Publié: (2025)

A Graph-Retrieval-Augmented Generation Framework Enhances Decision-Making in the Circular Economy
par: Zhao, Yang, et autres
Publié: (2025)

Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts
par: Gan, Chunjing, et autres
Publié: (2024)

Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach
par: Li, Zhuowan, et autres
Publié: (2024)

Capturing Sparks of Abstraction for the ARC Challenge
par: Andrews, Martin
Publié: (2024)

Listen to the Context: Towards Faithful Large Language Models for Retrieval Augmented Generation on Climate Questions
par: Thulke, David, et autres
Publié: (2025)

CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and Augmentation
par: Ziegler, Ingo, et autres
Publié: (2024)

Enhancing E-commerce Product Title Translation with Retrieval-Augmented Generation and Large Language Models
par: Zhang, Bryan, et autres
Publié: (2024)

CoRAG: Collaborative Retrieval-Augmented Generation
par: Muhamed, Aashiq, et autres
Publié: (2025)

A Systematic Study of Retrieval Pipeline Design for Retrieval-Augmented Medical Question Answering
par: Sultana, Nusrat, et autres
Publié: (2026)

How Causal Abstraction Underpins Computational Explanation
par: Geiger, Atticus, et autres
Publié: (2025)

When Should LLMs Be Less Specific? Selective Abstraction for Reliable Long-Form Text Generation
par: Goren, Shani, et autres
Publié: (2026)

BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models
par: Xue, Jiaqi, et autres
Publié: (2024)

Toward General Instruction-Following Alignment for Retrieval-Augmented Generation
par: Dong, Guanting, et autres
Publié: (2024)