:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Zheng, Zheng, Ni, Xinyi, Hong, Pengyu
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language Artificial Intelligence Machine Learning
Acceso en línea:	https://arxiv.org/abs/2501.16952
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

ToolFactory: Automating Tool Generation by Leveraging LLM to Understand REST API Documentations
por: Ni, Xinyi, et al.
Publicado: (2025)

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

EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation
por: Zhu, Yinghao, et al.
Publicado: (2024)

Enhancing Frame Detection with Retrieval Augmented Generation
por: Diallo, Papa Abdou Karim Karou, et al.
Publicado: (2025)

Learning Retrieval Augmentation for Personalized Dialogue Generation
por: Huang, Qiushi, et al.
Publicado: (2024)

HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA
por: Chen, Xinyue, et al.
Publicado: (2024)

Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation
por: Merth, Thomas, et al.
Publicado: (2024)

Agentic Retrieval-Augmented Generation for Time Series Analysis
por: Ravuru, Chidaksh, et al.
Publicado: (2024)

Disco-RAG: Discourse-Aware Retrieval-Augmented Generation
por: Liu, Dongqi, et al.
Publicado: (2026)

SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation
por: Divekar, Abhishek, et al.
Publicado: (2024)

An Analysis of Hyper-Parameter Optimization Methods for Retrieval Augmented Generation
por: Orbach, Matan, et al.
Publicado: (2025)

Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation
por: Zhong, Zijie, et al.
Publicado: (2024)

Latent Abstraction for Retrieval-Augmented Generation
por: T, Ha Lan N., et al.
Publicado: (2026)

Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
por: Zheng, Huaixiu Steven, et al.
Publicado: (2023)

Say Less, Mean More: Leveraging Pragmatics in Retrieval-Augmented Generation
por: Riaz, Haris, et al.
Publicado: (2025)

Optimizing Retrieval-Augmented Generation: Analysis of Hyperparameter Impact on Performance and Efficiency
por: Ammar, Adel, et al.
Publicado: (2025)

Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation
por: Liu, Tianyu, et al.
Publicado: (2024)

Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation
por: Qi, Jirui, et al.
Publicado: (2024)

Executable Functional Abstractions: Inferring Generative Programs for Advanced Math Problems
por: Khan, Zaid, et al.
Publicado: (2025)

Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation
por: Zhang, Chenghao, et al.
Publicado: (2025)

BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models
por: Xue, Jiaqi, et al.
Publicado: (2024)

Retrieval-Augmented Data Augmentation for Low-Resource Domain Tasks
por: Seo, Minju, et al.
Publicado: (2024)

Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering
por: Xu, Zhentao, et al.
Publicado: (2024)

HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation
por: Wu, Peilin, et al.
Publicado: (2025)

Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge Graph
por: Prahlad, Deeksha, et al.
Publicado: (2025)

Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs
por: Zhang, Haozhen, et al.
Publicado: (2024)

Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation
por: Dong, Guanting, et al.
Publicado: (2024)

CoRAG: Collaborative Retrieval-Augmented Generation
por: Muhamed, Aashiq, et al.
Publicado: (2025)

Capturing Sparks of Abstraction for the ARC Challenge
por: Andrews, Martin
Publicado: (2024)

Enhancing Domain-Specific Retrieval-Augmented Generation: Synthetic Data Generation and Evaluation using Reasoning Models
por: Jadon, Aryan, et al.
Publicado: (2025)

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

A Graph-Retrieval-Augmented Generation Framework Enhances Decision-Making in the Circular Economy
por: Zhao, Yang, et al.
Publicado: (2025)

Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts
por: Gan, Chunjing, et al.
Publicado: (2024)

Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach
por: Li, Zhuowan, et al.
Publicado: (2024)

Toward General Instruction-Following Alignment for Retrieval-Augmented Generation
por: Dong, Guanting, et al.
Publicado: (2024)

How Causal Abstraction Underpins Computational Explanation
por: Geiger, Atticus, et al.
Publicado: (2025)

Listen to the Context: Towards Faithful Large Language Models for Retrieval Augmented Generation on Climate Questions
por: Thulke, David, et al.
Publicado: (2025)

CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and Augmentation
por: Ziegler, Ingo, et al.
Publicado: (2024)

Enhancing E-commerce Product Title Translation with Retrieval-Augmented Generation and Large Language Models
por: Zhang, Bryan, et al.
Publicado: (2024)

Biomedical Entity Linking as Multiple Choice Question Answering
por: Lin, Zhenxi, et al.
Publicado: (2024)