Cover Image

SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jin, Yiqiao, Sharma, Kartik, Rakesh, Vineeth, Dou, Yingtong, Pan, Menghai, Das, Mahashweta, Kumar, Srijan
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sysformer: Safeguarding Frozen Large Language Models with Adaptive System Prompts
by: Sharma, Kartik, et al.
Published: (2025)

MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation
by: Chang, Chia-Yuan, et al.
Published: (2024)

Personalized Layer Selection for Graph Neural Networks
by: Sharma, Kartik, et al.
Published: (2025)

xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
by: Cheng, Xin, et al.
Published: (2024)

UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval
by: Wang, Hongru, et al.
Published: (2024)

Unveiling the Magic: Investigating Attention Distillation in Retrieval-augmented Generation
by: Li, Zizhong, et al.
Published: (2024)

GeAR: Graph-enhanced Agent for Retrieval-augmented Generation
by: Shen, Zhili, et al.
Published: (2024)

EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation
by: Hwang, Taeho, et al.
Published: (2024)

Neurosymbolic Retrievers for Retrieval-augmented Generation
by: Saxena, Yash, et al.
Published: (2026)

Chain-of-Retrieval Augmented Generation
by: Wang, Liang, et al.
Published: (2025)

Retrieval-Augmented Generation: A Comprehensive Survey of Architectures, Enhancements, and Robustness Frontiers
by: Sharma, Chaitanya
Published: (2025)

Metacognitive Retrieval-Augmented Large Language Models
by: Zhou, Yujia, et al.
Published: (2024)

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

Adaptive Retrieval-Augmented Generation for Conversational Systems
by: Wang, Xi, et al.
Published: (2024)

Grounding Language Model with Chunking-Free In-Context Retrieval
by: Qian, Hongjin, et al.
Published: (2024)

Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation
by: Chen, Haonan, et al.
Published: (2024)

The Influence of Text Variation on User Engagement in Cross-Platform Content Sharing
by: Hu, Yibo, et al.
Published: (2025)

Improving Retrieval in Sponsored Search by Leveraging Query Context Signals
by: Mohankumar, Akash Kumar, et al.
Published: (2024)

Contextual Compression in Retrieval-Augmented Generation for Large Language Models: A Survey
by: Verma, Sourav
Published: (2024)

Cluster-based Adaptive Retrieval: Dynamic Context Selection for RAG Applications
by: Xu, Yifan, et al.
Published: (2025)

FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research
by: Jin, Jiajie, et al.
Published: (2024)

From Matching to Generation: A Survey on Generative Information Retrieval
by: Li, Xiaoxi, et al.
Published: (2024)

XProvence: Zero-Cost Multilingual Context Pruning for Retrieval-Augmented Generation
by: Mohamed, Youssef, et al.
Published: (2026)

List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation
by: Xu, Shicheng, et al.
Published: (2024)

Analysis and Detection of Multilingual Hate Speech Using Transformer Based Deep Learning
by: Das, Arijit, et al.
Published: (2024)

Shifting from Ranking to Set Selection for Retrieval Augmented Generation
by: Lee, Dahyun, et al.
Published: (2025)

LaSER: Internalizing Explicit Reasoning into Latent Space for Dense Retrieval
by: Jin, Jiajie, et al.
Published: (2026)

MAO-ARAG: Multi-Agent Orchestration for Adaptive Retrieval-Augmented Generation
by: Chen, Yiqun, et al.
Published: (2025)

CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation
by: Cheng, Yiruo, et al.
Published: (2024)

Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation
by: Deng, Chenlong, et al.
Published: (2024)

Context-Efficient Retrieval with Factual Decomposition
by: Li, Yanhong, et al.
Published: (2025)

Retrieval-augmented systems can be dangerous medical communicators
by: Wong, Lionel, et al.
Published: (2025)

FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation
by: Wang, Shuai, et al.
Published: (2024)

Multi-Field Adaptive Retrieval
by: Li, Millicent, et al.
Published: (2024)

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

ProRAG: Process-Supervised Reinforcement Learning for Retrieval-Augmented Generation
by: Wang, Zhao, et al.
Published: (2026)

PISCO: Pretty Simple Compression for Retrieval-Augmented Generation
by: Louis, Maxime, et al.
Published: (2025)

MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot
by: Zhao, Xuejiao, et al.
Published: (2025)

mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval
by: Zhang, Xin, et al.
Published: (2024)

DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation
by: Wang, Shuting, et al.
Published: (2024)