Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysis
Fuente:
arXiv
Guardado en:
| Autores principales: | Bahr, Lukas, Wehner, Christoph, Wewerka, Judith, Bittencourt, José, Schmid, Ute, Daub, Rüdiger |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Provence: efficient and robust context pruning for retrieval-augmented generation
por: Chirkova, Nadezhda, et al.
Publicado: (2025)
por: Chirkova, Nadezhda, et al.
Publicado: (2025)
Optimizing open-domain question answering with graph-based retrieval augmented generation
por: Cahoon, Joyce, et al.
Publicado: (2025)
por: Cahoon, Joyce, et al.
Publicado: (2025)
Multi-Reranker: Maximizing performance of retrieval-augmented generation in the FinanceRAG challenge
por: Lee, Joohyun, et al.
Publicado: (2024)
por: Lee, Joohyun, et al.
Publicado: (2024)
CaseGPT: a case reasoning framework based on language models and retrieval-augmented generation
por: Yang, Rui
Publicado: (2024)
por: Yang, Rui
Publicado: (2024)
PARK: Personalized academic retrieval with knowledge-graphs
por: Kasela, Pranav, et al.
Publicado: (2025)
por: Kasela, Pranav, et al.
Publicado: (2025)
Hierarchical corpus encoder: Fusing generative retrieval and dense indices
por: Chen, Tongfei, et al.
Publicado: (2025)
por: Chen, Tongfei, et al.
Publicado: (2025)
RCSB PDB AI Help Desk: retrieval-augmented generation for protein structure deposition support
por: Chithari, Vivek Reddy, et al.
Publicado: (2026)
por: Chithari, Vivek Reddy, et al.
Publicado: (2026)
Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models
por: Shi, Zhengliang, et al.
Publicado: (2025)
por: Shi, Zhengliang, et al.
Publicado: (2025)
Rethinking LLM Parametric Knowledge as Post-retrieval Confidence for Dynamic Retrieval and Reranking
por: Jin, Haoxiang, et al.
Publicado: (2025)
por: Jin, Haoxiang, et al.
Publicado: (2025)
Real-time Ad retrieval via LLM-generative Commercial Intention for Sponsored Search Advertising
por: Liu, Tongtong, et al.
Publicado: (2025)
por: Liu, Tongtong, et al.
Publicado: (2025)
Interactive and Intelligent Root Cause Analysis in Manufacturing with Causal Bayesian Networks and Knowledge Graphs
por: Wehner, Christoph, et al.
Publicado: (2024)
por: Wehner, Christoph, et al.
Publicado: (2024)
Hyperbolic Contrastive Learning with Model-augmentation for Knowledge-aware Recommendation
por: Sun, Shengyin, et al.
Publicado: (2025)
por: Sun, Shengyin, et al.
Publicado: (2025)
Enhanced document retrieval with topic embeddings
por: Huseynova, Kavsar, et al.
Publicado: (2024)
por: Huseynova, Kavsar, et al.
Publicado: (2024)
Knowledge-aware Dual-side Attribute-enhanced Recommendation
por: Pang, Taotian, et al.
Publicado: (2024)
por: Pang, Taotian, et al.
Publicado: (2024)
Unsupervised dense retrieval with conterfactual contrastive learning
por: Chen, Haitian, et al.
Publicado: (2024)
por: Chen, Haitian, et al.
Publicado: (2024)
Knowledge graph-based personalized multimodal recommendation fusion framework
por: Fang, Yu
Publicado: (2025)
por: Fang, Yu
Publicado: (2025)
Enhancing patent retrieval using automated patent summarization
por: Kamateri, Eleni, et al.
Publicado: (2025)
por: Kamateri, Eleni, et al.
Publicado: (2025)
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news
por: Haque, Abdul, et al.
Publicado: (2025)
por: Haque, Abdul, et al.
Publicado: (2025)
GeAR: Graph-enhanced Agent for Retrieval-augmented Generation
por: Shen, Zhili, et al.
Publicado: (2024)
por: Shen, Zhili, et al.
Publicado: (2024)
Embedding based retrieval for long tail search queries in ecommerce
por: Kekuda, Akshay, et al.
Publicado: (2025)
por: Kekuda, Akshay, et al.
Publicado: (2025)
HeteRAG: A Heterogeneous Retrieval-augmented Generation Framework with Decoupled Knowledge Representations
por: Yang, Peiru, et al.
Publicado: (2025)
por: Yang, Peiru, et al.
Publicado: (2025)
Predicting IR Personalization Performance using Pre-retrieval Query Predictors
por: Vicente-López, Eduardo, et al.
Publicado: (2024)
por: Vicente-López, Eduardo, et al.
Publicado: (2024)
HLTCOE at LiveRAG: GPT-Researcher using ColBERT retrieval
por: Duh, Kevin, et al.
Publicado: (2025)
por: Duh, Kevin, et al.
Publicado: (2025)
Controlled Retrieval-augmented Context Evaluation for Long-form RAG
por: Ju, Jia-Huei, et al.
Publicado: (2025)
por: Ju, Jia-Huei, et al.
Publicado: (2025)
Prompt Tuning on Graph-augmented Low-resource Text Classification
por: Wen, Zhihao, et al.
Publicado: (2023)
por: Wen, Zhihao, et al.
Publicado: (2023)
What are the limits of cross-lingual dense passage retrieval for low-resource languages?
por: Wu, Jie, et al.
Publicado: (2024)
por: Wu, Jie, et al.
Publicado: (2024)
MMP-Refer: Multimodal Path Retrieval-augmented LLMs For Explainable Recommendation
por: Pan, Xiangchen, et al.
Publicado: (2026)
por: Pan, Xiangchen, et al.
Publicado: (2026)
Navigating the Knowledge Sea: Planet-scale answer retrieval using LLMs
por: Sarkar, Dipankar
Publicado: (2024)
por: Sarkar, Dipankar
Publicado: (2024)
Can we repurpose multiple-choice question-answering models to rerank retrieved documents?
por: Catapang, Jasper Kyle
Publicado: (2025)
por: Catapang, Jasper Kyle
Publicado: (2025)
LexPath: A domain-oriented multi-path framework for legal article retrieval
por: Liu, Weixuan, et al.
Publicado: (2026)
por: Liu, Weixuan, et al.
Publicado: (2026)
Carbon Footprint Accounting Driven by Large Language Models and Retrieval-augmented Generation
por: Wang, Haijin, et al.
Publicado: (2024)
por: Wang, Haijin, et al.
Publicado: (2024)
A Vlogger-augmented Graph Neural Network Model for Micro-video Recommendation
por: Lai, Weijiang, et al.
Publicado: (2024)
por: Lai, Weijiang, et al.
Publicado: (2024)
ARK: Answer-Centric Retriever Tuning via KG-augmented Curriculum Learning
por: Ding, Hang, et al.
Publicado: (2025)
por: Ding, Hang, et al.
Publicado: (2025)
Multimodal semantic retrieval for product search
por: Liu, Dong, et al.
Publicado: (2025)
por: Liu, Dong, et al.
Publicado: (2025)
Self-supervised learning for phase retrieval
por: Sechaud, Victor, et al.
Publicado: (2025)
por: Sechaud, Victor, et al.
Publicado: (2025)
POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval
por: Liu, Yaoyang, et al.
Publicado: (2025)
por: Liu, Yaoyang, et al.
Publicado: (2025)
The Coverage Illusion: From Pre-retrieval Routing Failure to Post-retrieval Cascades in a Production RAG System
por: Hussain, Zafar, et al.
Publicado: (2026)
por: Hussain, Zafar, et al.
Publicado: (2026)
Understanding news story chains using information retrieval and network clustering techniques
por: Nicholls, Tom, et al.
Publicado: (2018)
por: Nicholls, Tom, et al.
Publicado: (2018)
Fix Before Search: Benchmarking Agentic Query Visual Pre-processing in Multimodal Retrieval-augmented Generation
por: Zhang, Jiankun, et al.
Publicado: (2026)
por: Zhang, Jiankun, et al.
Publicado: (2026)
Ontology-driven personalized information retrieval for XML documents
por: Iddir, Ounnaci, et al.
Publicado: (2026)
por: Iddir, Ounnaci, et al.
Publicado: (2026)
Ejemplares similares
-
Provence: efficient and robust context pruning for retrieval-augmented generation
por: Chirkova, Nadezhda, et al.
Publicado: (2025) -
Optimizing open-domain question answering with graph-based retrieval augmented generation
por: Cahoon, Joyce, et al.
Publicado: (2025) -
Multi-Reranker: Maximizing performance of retrieval-augmented generation in the FinanceRAG challenge
por: Lee, Joohyun, et al.
Publicado: (2024) -
CaseGPT: a case reasoning framework based on language models and retrieval-augmented generation
por: Yang, Rui
Publicado: (2024) -
PARK: Personalized academic retrieval with knowledge-graphs
por: Kasela, Pranav, et al.
Publicado: (2025)