Saved in:
| Main Author: | Harris, Lee |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.22921 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models
by: AlMahri, Sara, et al.
Published: (2024)
by: AlMahri, Sara, et al.
Published: (2024)
Automated Extraction and Creation of FBS Design Reasoning Knowledge Graphs from Structured Data in Product Catalogues Lacking Contextual Information
by: Sahadevan, Vijayalaxmi, et al.
Published: (2024)
by: Sahadevan, Vijayalaxmi, et al.
Published: (2024)
Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion
by: Baek, Jinheon, et al.
Published: (2023)
by: Baek, Jinheon, et al.
Published: (2023)
Generative Language Models with Retrieval Augmented Generation for Automated Short Answer Scoring
by: Wang, Zifan, et al.
Published: (2024)
by: Wang, Zifan, et al.
Published: (2024)
Resisting Contextual Interference in RAG via Parametric-Knowledge Reinforcement
by: Lin, Chenyu, et al.
Published: (2025)
by: Lin, Chenyu, et al.
Published: (2025)
Analyzing the Influence of Knowledge Graph Information on Relation Extraction
by: Möller, Cedric, et al.
Published: (2025)
by: Möller, Cedric, et al.
Published: (2025)
iText2KG: Incremental Knowledge Graphs Construction Using Large Language Models
by: Lairgi, Yassir, et al.
Published: (2024)
by: Lairgi, Yassir, et al.
Published: (2024)
CLEF HIPE-2026: Evaluating Accurate and Efficient Person-Place Relation Extraction from Multilingual Historical Texts
by: Opitz, Juri, et al.
Published: (2026)
by: Opitz, Juri, et al.
Published: (2026)
Synthesized Annotation Guidelines are Knowledge-Lite Boosters for Clinical Information Extraction
by: Hsu, Enshuo, et al.
Published: (2025)
by: Hsu, Enshuo, et al.
Published: (2025)
QExplorer: Large Language Model Based Query Extraction for Toxic Content Exploration
by: Ren, Shaola, et al.
Published: (2025)
by: Ren, Shaola, et al.
Published: (2025)
Benchmarking Large Language Models on Reference Extraction and Parsing in the Social Sciences and Humanities
by: Zhu, Yurui, et al.
Published: (2026)
by: Zhu, Yurui, et al.
Published: (2026)
Agenda-based Narrative Extraction: Steering Pathfinding Algorithms with Large Language Models
by: Keith-Norambuena, Brian Felipe, et al.
Published: (2026)
by: Keith-Norambuena, Brian Felipe, et al.
Published: (2026)
Statements: Universal Information Extraction from Tables with Large Language Models for ESG KPIs
by: Mishra, Lokesh, et al.
Published: (2024)
by: Mishra, Lokesh, et al.
Published: (2024)
Tug-of-War Between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models
by: Jin, Zhuoran, et al.
Published: (2024)
by: Jin, Zhuoran, et al.
Published: (2024)
Evaluating the External and Parametric Knowledge Fusion of Large Language Models
by: Zhang, Hao, et al.
Published: (2024)
by: Zhang, Hao, et al.
Published: (2024)
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction
by: Xu, Ziyang, et al.
Published: (2024)
by: Xu, Ziyang, et al.
Published: (2024)
Reasoning on Efficient Knowledge Paths:Knowledge Graph Guides Large Language Model for Domain Question Answering
by: Wang, Yuqi, et al.
Published: (2024)
by: Wang, Yuqi, et al.
Published: (2024)
Who's Who: Large Language Models Meet Knowledge Conflicts in Practice
by: Pham, Quang Hieu, et al.
Published: (2024)
by: Pham, Quang Hieu, et al.
Published: (2024)
Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models
by: Merrick, Luke, et al.
Published: (2024)
by: Merrick, Luke, et al.
Published: (2024)
Leveraging Fine-Tuned Large Language Models for Interpretable Pancreatic Cystic Lesion Feature Extraction and Risk Categorization
by: Rasromani, Ebrahim, et al.
Published: (2025)
by: Rasromani, Ebrahim, et al.
Published: (2025)
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction
by: Fang, Chenhao, et al.
Published: (2024)
by: Fang, Chenhao, et al.
Published: (2024)
Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities
by: Ma, Chuangtao, et al.
Published: (2025)
by: Ma, Chuangtao, et al.
Published: (2025)
Enriching Taxonomies Using Large Language Models
by: Ghamlouch, Zeinab, et al.
Published: (2025)
by: Ghamlouch, Zeinab, et al.
Published: (2025)
Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models
by: Jiang, Feihu, et al.
Published: (2024)
by: Jiang, Feihu, et al.
Published: (2024)
A Multi-Stage Validation Framework for Trustworthy Large-scale Clinical Information Extraction using Large Language Models
by: Mahbub, Maria, et al.
Published: (2026)
by: Mahbub, Maria, et al.
Published: (2026)
MedSEBA: Synthesizing Evidence-Based Answers Grounded in Evolving Medical Literature
by: Vladika, Juraj, et al.
Published: (2025)
by: Vladika, Juraj, et al.
Published: (2025)
AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning
by: Ren, Xiaobin, et al.
Published: (2025)
by: Ren, Xiaobin, et al.
Published: (2025)
Integrating Large Language Models and Knowledge Graphs to Capture Political Viewpoints in News Media
by: Fadda, Massimiliano, et al.
Published: (2025)
by: Fadda, Massimiliano, et al.
Published: (2025)
ConceptFormer: Towards Efficient Use of Knowledge-Graph Embeddings in Large Language Models
by: Barmettler, Joel, et al.
Published: (2025)
by: Barmettler, Joel, et al.
Published: (2025)
Use of a Structured Knowledge Base Enhances Metadata Curation by Large Language Models
by: Sundaram, Sowmya S., et al.
Published: (2024)
by: Sundaram, Sowmya S., et al.
Published: (2024)
Span-Oriented Information Extraction -- A Unifying Perspective on Information Extraction
by: Ding, Yifan, et al.
Published: (2024)
by: Ding, Yifan, et al.
Published: (2024)
Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems
by: Qiu, Zhangchi, et al.
Published: (2023)
by: Qiu, Zhangchi, et al.
Published: (2023)
Reason to Contrast: A Cascaded Multimodal Retrieval Framework
by: Cui, Xuanming, et al.
Published: (2025)
by: Cui, Xuanming, et al.
Published: (2025)
Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph
by: Zhao, Qian, et al.
Published: (2024)
by: Zhao, Qian, et al.
Published: (2024)
Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models
by: Jin, Zhuoran, et al.
Published: (2024)
by: Jin, Zhuoran, et al.
Published: (2024)
Knowledge Management for Automobile Failure Analysis Using Graph RAG
by: Ojima, Yuta, et al.
Published: (2024)
by: Ojima, Yuta, et al.
Published: (2024)
Same Question, Different Source, Different Answer: Auditing Source-Dependence in Medical Multi-Source RAG
by: Li, Yubo, et al.
Published: (2026)
by: Li, Yubo, et al.
Published: (2026)
KGMEL: Knowledge Graph-Enhanced Multimodal Entity Linking
by: Kim, Juyeon, et al.
Published: (2025)
by: Kim, Juyeon, et al.
Published: (2025)
Within-Document Event Coreference with BERT-Based Contextualized Representations
by: Ahmed, Shafiuddin Rehan, et al.
Published: (2021)
by: Ahmed, Shafiuddin Rehan, et al.
Published: (2021)
Do LLMs Provide Consistent Answers to Health-Related Questions across Languages?
by: Schlicht, Ipek Baris, et al.
Published: (2025)
by: Schlicht, Ipek Baris, et al.
Published: (2025)
Similar Items
-
Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models
by: AlMahri, Sara, et al.
Published: (2024) -
Automated Extraction and Creation of FBS Design Reasoning Knowledge Graphs from Structured Data in Product Catalogues Lacking Contextual Information
by: Sahadevan, Vijayalaxmi, et al.
Published: (2024) -
Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion
by: Baek, Jinheon, et al.
Published: (2023) -
Generative Language Models with Retrieval Augmented Generation for Automated Short Answer Scoring
by: Wang, Zifan, et al.
Published: (2024) -
Resisting Contextual Interference in RAG via Parametric-Knowledge Reinforcement
by: Lin, Chenyu, et al.
Published: (2025)