Imagen de Portada

Tug-of-War within A Decade: Conflict Resolution in Vulnerability Analysis via Teacher-Guided Retrieval-Augmented Generations

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhou, Ziyin, Zhang, Jianyi, ji, Xu, Li, Yilong, Han, Jiameng, Zhao, Zhangchi
Formato:	Preprint
Publicado:	2026
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Tug-of-War Between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models
por: Jin, Zhuoran, et al.
Publicado: (2024)

Can't say cant? Measuring and Reasoning of Dark Jargons in Large Language Models
por: Ji, Xu, et al.
Publicado: (2024)

Retrieval-Augmented Generation with Conflicting Evidence
por: Wang, Han, et al.
Publicado: (2025)

CAPTURE: A Benchmark and Evaluation for LVLMs in CAPTCHA Resolving
por: Zhang, Jianyi, et al.
Publicado: (2025)

A Large Language Model-based Framework for Semi-Structured Tender Document Retrieval-Augmented Generation
por: Zhao, Yilong, et al.
Publicado: (2024)

EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network Operations
por: Feng, Zhangchi, et al.
Publicado: (2024)

Graph Retrieval-Augmented LLM for Conversational Recommendation Systems
por: Qiu, Zhangchi, et al.
Publicado: (2025)

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

Conflict-Aware Soft Prompting for Retrieval-Augmented Generation
por: Choi, Eunseong, et al.
Publicado: (2025)

Sufficient Context: A New Lens on Retrieval Augmented Generation Systems
por: Joren, Hailey, et al.
Publicado: (2024)

FL-PLAS: Federated Learning with Partial Layer Aggregation for Backdoor Defense Against High-Ratio Malicious Clients
por: Zhang, Jianyi, et al.
Publicado: (2025)

ConfRAG: Confidence-Guided Retrieval-Augmenting Generation
por: Huang, Yin, et al.
Publicado: (2025)

When Evidence Conflicts: Uncertainty and Order Effects in Retrieval-Augmented Biomedical Question Answering
por: Han, Yikun, et al.
Publicado: (2026)

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

ArbGraph: Conflict-Aware Evidence Arbitration for Reliable Long-Form Retrieval-Augmented Generation
por: Niu, Qingying, et al.
Publicado: (2026)

YpathRAG:A Retrieval-Augmented Generation Framework and Benchmark for Pathology
por: Yu, Deshui, et al.
Publicado: (2025)

Align-GRAG: Anchor and Rationale Guided Dual Alignment for Graph Retrieval-Augmented Generation
por: Xu, Derong, et al.
Publicado: (2025)

Exposing the Cracks: Vulnerabilities of Retrieval-Augmented LLM-based Machine Translation
por: Sun, Yanming, et al.
Publicado: (2025)

Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models
por: Xu, Yilong, et al.
Publicado: (2025)

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

TruthfulRAG: Resolving Factual-level Conflicts in Retrieval-Augmented Generation with Knowledge Graphs
por: Liu, Shuyi, et al.
Publicado: (2025)

CAR: Query-Guided Confidence-Aware Reranking for Retrieval-Augmented Generation
por: Song, Zhipeng, et al.
Publicado: (2026)

Knowledge Graph-Guided Retrieval Augmented Generation
por: Zhu, Xiangrong, et al.
Publicado: (2025)

On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains
por: Xian, Xun, et al.
Publicado: (2024)

Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation
por: Zhang, Jiankun, et al.
Publicado: (2025)

Rationale-Guided Retrieval Augmented Generation for Medical Question Answering
por: Sohn, Jiwoong, et al.
Publicado: (2024)

Guided Decoding and Its Critical Role in Retrieval-Augmented Generation
por: Uğur, Özgür, et al.
Publicado: (2025)

The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models
por: Qian, Chen, et al.
Publicado: (2024)

The Tug-of-War Between Deepfake Generation and Detection
por: Lee, Hannah, et al.
Publicado: (2024)

MAGIC: A Multi-Hop and Graph-Based Benchmark for Inter-Context Conflicts in Retrieval-Augmented Generation
por: Lee, Jungyeon, et al.
Publicado: (2025)

A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces
por: Du, Mingxuan, et al.
Publicado: (2026)

Fact-Aware Multimodal Retrieval Augmentation for Accurate Medical Radiology Report Generation
por: Sun, Liwen, et al.
Publicado: (2024)

MSRS: Evaluating Multi-Source Retrieval-Augmented Generation
por: Phanse, Rohan, et al.
Publicado: (2025)

ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability
por: Sun, Zhongxiang, et al.
Publicado: (2024)

HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision Making
por: Anjum, Sumera, et al.
Publicado: (2024)

DeepNote: Note-Centric Deep Retrieval-Augmented Generation
por: Wang, Ruobing, et al.
Publicado: (2024)

An Efficient Rubric-based Generative Verifier for Search-Augmented LLMs
por: Ma, Linyue, et al.
Publicado: (2025)

FedMosaic: Federated Retrieval-Augmented Generation via Parametric Adapters
por: Liang, Zhilin, et al.
Publicado: (2026)

Influence Guided Context Selection for Effective Retrieval-Augmented Generation
por: Deng, Jiale, et al.
Publicado: (2025)

An Empirical Study of Retrieval Augmented Generation with Chain-of-Thought
por: Zhao, Yuetong, et al.
Publicado: (2024)