Imagen de Portada

Enhancing Retrieval Augmentation via Adversarial Collaboration

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Letian, Meng, Guanghao, Ren, Xudong, Wang, Yiming, Xia, Shu-Tao
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Fine-tuning Pre-trained Vision-Language Models in a Human-Annotation-Free Manner
por: Wang, Qian-Wei, et al.
Publicado: (2026)

Efficient Agent: Optimizing Planning Capability for Multimodal Retrieval Augmented Generation
por: Wang, Yuechen, et al.
Publicado: (2025)

RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement
por: Jiang, Jinhao, et al.
Publicado: (2024)

Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training
por: Fang, Feiteng, et al.
Publicado: (2024)

RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction
por: Li, Yushen, et al.
Publicado: (2024)

DuetRAG: Collaborative Retrieval-Augmented Generation
por: Jiao, Dian, et al.
Publicado: (2024)

Pre-Trained Vision-Language Models as Partial Annotators
por: Wang, Qian-Wei, et al.
Publicado: (2024)

SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought
por: Li, Guanghao, et al.
Publicado: (2025)

Universal Adversarial Attacks against Closed-Source MLLMs via Target-View Routed Meta Optimization
por: Lu, Hui, et al.
Publicado: (2026)

Retrieval-Augmented Machine Translation with Unstructured Knowledge
por: Wang, Jiaan, et al.
Publicado: (2024)

Retrieval-Augmented Robots via Retrieve-Reason-Act
por: Temiraliev, Izat, et al.
Publicado: (2026)

Towards Open-World Retrieval-Augmented Generation on Knowledge Graph: A Multi-Agent Collaboration Framework
por: Xu, Jiasheng, et al.
Publicado: (2025)

Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval
por: Wang, Jinpeng, et al.
Publicado: (2024)

VAULT: Vigilant Adversarial Updates via LLM-Driven Retrieval-Augmented Generation for NLI
por: Kazoom, Roie, et al.
Publicado: (2025)

RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning
por: Wang, Yu, et al.
Publicado: (2025)

MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation
por: Fan, Tianyu, et al.
Publicado: (2025)

Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models
por: Wen, Xumeng, et al.
Publicado: (2025)

Evaluate-as-Action: Self-Evaluated Process Rewards for Retrieval-Augmented Agents
por: Shu, Jiangming, et al.
Publicado: (2026)

Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation
por: Qin, Qitao, et al.
Publicado: (2025)

ConflictRAG: Detecting and Resolving Knowledge Conflicts in Retrieval Augmented Generation
por: Wang, Chenyu, et al.
Publicado: (2026)

Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models
por: Yu, Wenhao, et al.
Publicado: (2023)

Improving Behavioral Alignment in LLM Social Simulations via Context Formation and Navigation
por: Kong, Letian, et al.
Publicado: (2026)

MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought Reasoning
por: Nguyen, Thang, et al.
Publicado: (2025)

Rethinking All Evidence: Enhancing Trustworthy Retrieval-Augmented Generation via Conflict-Driven Summarization
por: Chen, Juan, et al.
Publicado: (2025)

SAKR: Enhancing Retrieval-Augmented Generation via Streaming Algorithm and K-Means Clustering
por: Kang, Haoyu, et al.
Publicado: (2024)

Pistis-RAG: Enhancing Retrieval-Augmented Generation with Human Feedback
por: Bai, Yu, et al.
Publicado: (2024)

Adversarial Threat Vectors and Risk Mitigation for Retrieval-Augmented Generation Systems
por: Ward, Chris M., et al.
Publicado: (2025)

Conjecture and Inquiry: Quantifying Software Performance Requirements via Interactive Retrieval-Augmented Preference Elicitation
por: Wang, Shihai, et al.
Publicado: (2026)

Enhancing Image Quality Assessment Ability of LMMs via Retrieval-Augmented Generation
por: Fu, Kang, et al.
Publicado: (2026)

Towards Unsupervised Adversarial Document Detection in Retrieval Augmented Generation Systems
por: Levi, Patrick
Publicado: (2026)

Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning
por: Liu, Tian, et al.
Publicado: (2024)

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data
por: Salve, Aniruddha, et al.
Publicado: (2024)

Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
por: Wang, Zilong, et al.
Publicado: (2024)

Trust Semantics Distillation for Collaborator Selection via Memory-Augmented Agentic AI
por: Zhu, Botao, et al.
Publicado: (2025)

Adversarial Prompt Injection Attack on Multimodal Large Language Models
por: Ding, Meiwen, et al.
Publicado: (2026)

Retrieval-Augmented Generation Systems for Intellectual Property via Synthetic Multi-Angle Fine-tuning
por: Ren, Runtao, et al.
Publicado: (2025)

Adversarial Yet Cooperative: Multi-Perspective Reasoning in Retrieved-Augmented Language Models
por: Xu, Can, et al.
Publicado: (2026)

Accelerating Adaptive Retrieval Augmented Generation via Instruction-Driven Representation Reduction of Retrieval Overlaps
por: Ou, Jie, et al.
Publicado: (2025)

Revolutionizing Retrieval-Augmented Generation with Enhanced PDF Structure Recognition
por: Lin, Demiao
Publicado: (2024)

Retrieval Augmented Decision-Making: A Requirements-Driven, Multi-Criteria Framework for Structured Decision Support
por: Wu, Hongjia, et al.
Publicado: (2025)