Copertina

KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lu, Yuxing, Wu, Wei, Zhao, Xukai, Peng, Rui, Wang, Jinzhuo
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence Computational Engineering, Finance, and Science Digital Libraries
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Biomedical Knowledge Graph: A Survey of Domains, Tasks, and Real-World Applications
di: Lu, Yuxing, et al.
Pubblicazione: (2025)

MetaBench: A Multi-task Benchmark for Assessing LLMs in Metabolomics
di: Lu, Yuxing, et al.
Pubblicazione: (2025)

DoctorRAG: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients
di: Lu, Yuxing, et al.
Pubblicazione: (2025)

Training the Knowledge Base through Evidence Distillation and Write-Back Enrichment
di: Lu, Yuxing, et al.
Pubblicazione: (2026)

Novelty and Impact of Economics Papers
di: Wu, Chaofeng
Pubblicazione: (2025)

A Framework and Prototype for a Navigable Map of Datasets in Engineering Design and Systems Engineering
di: Bank, H. Sinan, et al.
Pubblicazione: (2026)

LLMs4Synthesis: Leveraging Large Language Models for Scientific Synthesis
di: Giglou, Hamed Babaei, et al.
Pubblicazione: (2024)

Vidya: An AI-Driven Modular Pipeline for Archival Automation and Semantic Metadata Enrichment
di: Filho, Cloter Migliorini, et al.
Pubblicazione: (2026)

Automated Novelty Evaluation of Academic Paper: A Collaborative Approach Integrating Human and Large Language Model Knowledge
di: Wu, Wenqing, et al.
Pubblicazione: (2025)

Automating Categorization of Scientific Texts with In-Context Learning and Prompt-Chaining in Large Language Models
di: Shahi, Gautam Kishore, et al.
Pubblicazione: (2026)

SC4ANM: Identifying Optimal Section Combinations for Automated Novelty Prediction in Academic Papers
di: Wu, Wenqing, et al.
Pubblicazione: (2025)

Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding Space
di: Tran, Hung Nghiep, et al.
Pubblicazione: (2019)

Knowledge Graphs Generation from Cultural Heritage Texts: Combining LLMs and Ontological Engineering for Scholarly Debates
di: Schimmenti, Andrea, et al.
Pubblicazione: (2025)

Interesting Scientific Idea Generation using Knowledge Graphs and LLMs: Evaluations with 100 Research Group Leaders
di: Gu, Xuemei, et al.
Pubblicazione: (2024)

Hybrid X-Linker: Automated Data Generation and Extreme Multi-label Ranking for Biomedical Entity Linking
di: Ruas, Pedro, et al.
Pubblicazione: (2024)

Parametric Knowledge and Retrieval Behavior in RAG Fine-Tuning for Electronic Design Automation
di: Oestreich, Julian, et al.
Pubblicazione: (2026)

HIKMA: Human-Inspired Knowledge by Machine Agents through a Multi-Agent Framework for Semi-Autonomous Scientific Conferences
di: Tariq, Zain Ul Abideen, et al.
Pubblicazione: (2025)

sciwrite-lint: Verification Infrastructure for the Age of Science Vibe-Writing
di: Samsonau, Sergey V
Pubblicazione: (2026)

Identity resolution of software metadata using Large Language Models
di: del Pico, Eva Martín, et al.
Pubblicazione: (2025)

Bridging the Evaluation Gap: Leveraging Large Language Models for Topic Model Evaluation
di: Tan, Zhiyin, et al.
Pubblicazione: (2025)

Affective-ROPTester: Capability and Bias Analysis of LLMs in Predicting Retinopathy of Prematurity
di: Zhao, Shuai, et al.
Pubblicazione: (2025)

NLP-AKG: Few-Shot Construction of NLP Academic Knowledge Graph Based on LLM
di: Lan, Jiayin, et al.
Pubblicazione: (2025)

Triples and Knowledge-Infused Embeddings for Clustering and Classification of Scientific Documents
di: Arcan, Mihael
Pubblicazione: (2025)

Multimodal LLMs for OCR, OCR Post-Correction, and Named Entity Recognition in Historical Documents
di: Greif, Gavin, et al.
Pubblicazione: (2025)

BizFinBench: A Business-Driven Real-World Financial Benchmark for Evaluating LLMs
di: Lu, Guilong, et al.
Pubblicazione: (2025)

FinTagging: Benchmarking LLMs for Extracting and Structuring Financial Information
di: Wang, Yan, et al.
Pubblicazione: (2025)

Towards Making Flowchart Images Machine Interpretable
di: Shukla, Shreya, et al.
Pubblicazione: (2025)

LLMs4SchemaDiscovery: A Human-in-the-Loop Workflow for Scientific Schema Mining with Large Language Models
di: Sadruddin, Sameer, et al.
Pubblicazione: (2025)

How Do LLMs Encode Scientific Quality? An Empirical Study Using Monosemantic Features from Sparse Autoencoders
di: McCoubrey, Michael, et al.
Pubblicazione: (2026)

Leveraging Large Language Models for Generating Research Topic Ontologies: A Multi-Disciplinary Study
di: Aggarwal, Tanay, et al.
Pubblicazione: (2025)

RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements
di: Zhan, Zaifu, et al.
Pubblicazione: (2024)

A Role-Aware Multi-Agent Framework for Financial Education Question Answering with LLMs
di: Zhu, Andy, et al.
Pubblicazione: (2025)

Hidden Entity Detection from GitHub Leveraging Large Language Models
di: Gan, Lu, et al.
Pubblicazione: (2025)

Google Scholar is manipulatable
di: Ibrahim, Hazem, et al.
Pubblicazione: (2024)

Quantifying the Knowledge Proximity Between Academic and Industry Research: An Entity and Semantic Perspective
di: Zhao, Hongye, et al.
Pubblicazione: (2026)

Automating Structural Engineering Workflows with Large Language Model Agents
di: Liang, Haoran, et al.
Pubblicazione: (2025)

Towards Robust Evaluation of STEM Education: Leveraging MLLMs in Project-Based Learning
di: Wu, Xinyi, et al.
Pubblicazione: (2025)

Program of Thoughts for Financial Reasoning: Leveraging Dynamic In-Context Examples and Generative Retrieval
di: Khatuya, Subhendu, et al.
Pubblicazione: (2025)

3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling
di: Pei, Qizhi, et al.
Pubblicazione: (2024)

ASDA: Automated Skill Distillation and Adaptation for Financial Reasoning
di: Yim, Tik Yu, et al.
Pubblicazione: (2026)