Imagen de Portada

Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Liu, Zheng, Wu, Chenyuan, Shao, Ninglu, Xiao, Shitao, Li, Chaozhuo, Lian, Defu
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Extensible Embedding: A Flexible Multipler For LLM's Context Length
por: Shao, Ninglu, et al.
Publicado: (2024)

Flexibly Scaling Large Language Models Contexts Through Extensible Tokenization
por: Shao, Ninglu, et al.
Publicado: (2024)

Matryoshka Re-Ranker: A Flexible Re-Ranking Architecture With Configurable Depth and Width
por: Liu, Zheng, et al.
Publicado: (2025)

Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval
por: Liu, Zheng, et al.
Publicado: (2023)

Compressing Lengthy Context With UltraGist
por: Zhang, Peitian, et al.
Publicado: (2024)

Long Context Compression with Activation Beacon
por: Zhang, Peitian, et al.
Publicado: (2024)

Extending Llama-3's Context Ten-Fold Overnight
por: Zhang, Peitian, et al.
Publicado: (2024)

Towards Lighter and Robust Evaluation for Retrieval Augmented Generation
por: Ispas, Alex-Razvan, et al.
Publicado: (2025)

Understanding Privacy Risks of Embeddings Induced by Large Language Models
por: Zhu, Zhihao, et al.
Publicado: (2024)

BGE Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models
por: Luo, Kun, et al.
Publicado: (2024)

Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning
por: Wu, Chenyuan, et al.
Publicado: (2024)

Reinforced Information Retrieval
por: Li, Chaofan, et al.
Publicado: (2025)

AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark
por: Chen, Jianlyu, et al.
Publicado: (2024)

MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation
por: Qian, Hongjin, et al.
Publicado: (2024)

O1 Embedder: Let Retrievers Think Before Action
por: Yan, Ruiran, et al.
Publicado: (2025)

C-Pack: Packed Resources For General Chinese Embeddings
por: Xiao, Shitao, et al.
Publicado: (2023)

MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval
por: Zhou, Junjie, et al.
Publicado: (2024)

M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
por: Chen, Jianlv, et al.
Publicado: (2024)

Making Text Embedders Few-Shot Learners
por: Li, Chaofan, et al.
Publicado: (2024)

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey
por: Zhou, Yujia, et al.
Publicado: (2024)

Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval
por: Liu, Ze, et al.
Publicado: (2025)

OmniGen2: Towards Instruction-Aligned Multimodal Generation
por: Wu, Chenyuan, et al.
Publicado: (2025)

ReasonEmbed: Enhanced Text Embeddings for Reasoning-Intensive Document Retrieval
por: Chen, Jianlyu, et al.
Publicado: (2025)

Mindscape-Aware Retrieval Augmented Generation for Improved Long Context Understanding
por: Li, Yuqing, et al.
Publicado: (2025)

Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction
por: Li, Guozheng, et al.
Publicado: (2024)

RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery
por: Gu, Hongchao, et al.
Publicado: (2025)

Feedback Adaptation for Retrieval-Augmented Generation
por: Bang, Jihwan, et al.
Publicado: (2026)

Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment
por: Luo, Kun, et al.
Publicado: (2024)

FlashBack:Efficient Retrieval-Augmented Language Modeling for Long Context Inference
por: Liu, Runheng, et al.
Publicado: (2024)

Retro*: Optimizing LLMs for Reasoning-Intensive Document Retrieval
por: Lan, Junwei, et al.
Publicado: (2025)

GREAT: Guiding Query Generation with a Trie for Recommending Related Search about Video at Kuaishou
por: Shao, Ninglu, et al.
Publicado: (2025)

Boosting Long-Context Management via Query-Guided Activation Refilling
por: Qian, Hongjin, et al.
Publicado: (2024)

Unified Active Retrieval for Retrieval Augmented Generation
por: Cheng, Qinyuan, et al.
Publicado: (2024)

VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval
por: Zhou, Junjie, et al.
Publicado: (2024)

UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation
por: Li, Zixuan, et al.
Publicado: (2024)

FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation
por: Zhang, Qinggang, et al.
Publicado: (2025)

Utilizing Metadata for Better Retrieval-Augmented Generation
por: Yousuf, Raquib Bin, et al.
Publicado: (2026)

Oreo: A Plug-in Context Reconstructor to Enhance Retrieval-Augmented Generation
por: Li, Sha, et al.
Publicado: (2025)

Improving Context Fidelity via Native Retrieval-Augmented Reasoning
por: Wang, Suyuchen, et al.
Publicado: (2025)

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