Copertina

A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Mingchen, Ling, Chen, Zhang, Rui, Zhao, Liang
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

How far is Language Model from 100% Few-shot Named Entity Recognition in Medical Domain
di: Li, Mingchen, et al.
Pubblicazione: (2023)

BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine
di: Li, Mingchen, et al.
Pubblicazione: (2024)

Benchingmaking Large Langage Models in Biomedical Triple Extraction
di: Li, Mingchen, et al.
Pubblicazione: (2023)

AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction
di: Feng, Jie, et al.
Pubblicazione: (2024)

Zero-shot Large Language Models for Automatic Readability Assessment
di: Grossman, Riley, et al.
Pubblicazione: (2026)

MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning
di: Tang, Xiangru, et al.
Pubblicazione: (2023)

Zero-shot Graph Reasoning via Retrieval Augmented Framework with LLMs
di: Li, Hanqing, et al.
Pubblicazione: (2025)

Knowledge Graph Large Language Model (KG-LLM) for Link Prediction
di: Shu, Dong, et al.
Pubblicazione: (2024)

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

Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models
di: Liu, Qiang, et al.
Pubblicazione: (2025)

Unleashing Large Language Models' Proficiency in Zero-shot Essay Scoring
di: Lee, Sanwoo, et al.
Pubblicazione: (2024)

CancerLLM: A Large Language Model in Cancer Domain
di: Li, Mingchen, et al.
Pubblicazione: (2024)

Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness
di: Li, Mingchen, et al.
Pubblicazione: (2024)

Leveraging Large Language Models for Zero-shot Lay Summarisation in Biomedicine and Beyond
di: Goldsack, Tomas, et al.
Pubblicazione: (2025)

Learning to Describe for Predicting Zero-shot Drug-Drug Interactions
di: Zhu, Fangqi, et al.
Pubblicazione: (2024)

Large Language Models as Zero-shot Dialogue State Tracker through Function Calling
di: Li, Zekun, et al.
Pubblicazione: (2024)

Zero-shot Audio Topic Reranking using Large Language Models
di: Qian, Mengjie, et al.
Pubblicazione: (2023)

Zero-shot Bilingual App Reviews Mining with Large Language Models
di: Wei, Jialiang, et al.
Pubblicazione: (2023)

ZeroDL: Zero-shot Distribution Learning for Text Clustering via Large Language Models
di: Jo, Hwiyeol, et al.
Pubblicazione: (2024)

Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting
di: Liu, Siyi, et al.
Pubblicazione: (2024)

Zero-shot Benchmarking: A Framework for Flexible and Scalable Automatic Evaluation of Language Models
di: Pombal, José, et al.
Pubblicazione: (2025)

GraphIF: Enhancing Multi-Turn Instruction Following for Large Language Models with Relation Graph Prompt
di: Li, Zhenhe, et al.
Pubblicazione: (2025)

Zero-shot Generative Large Language Models for Systematic Review Screening Automation
di: Wang, Shuai, et al.
Pubblicazione: (2024)

Evontree: Ontology Rule-Guided Self-Evolution of Large Language Models
di: Tu, Mingchen, et al.
Pubblicazione: (2025)

RiTeK: A Dataset for Large Language Models Complex Reasoning over Textual Knowledge Graphs in Medicine
di: Huang, Jiatan, et al.
Pubblicazione: (2024)

ELAD: Explanation-Guided Large Language Models Active Distillation
di: Zhang, Yifei, et al.
Pubblicazione: (2024)

Evaluating Large Language Models on the Frame and Symbol Grounding Problems: A Zero-shot Benchmark
di: Oka, Shoko
Pubblicazione: (2025)

LELA: An End-to-end LLM-based Entity Linking Framework with Zero-shot Domain Adaptation
di: Haffoudhi, Samy, et al.
Pubblicazione: (2026)

GLEN-Bench: A Graph-Language based Benchmark for Nutritional Health
di: Huang, Jiatan, et al.
Pubblicazione: (2026)

ZeFaV: Boosting Large Language Models for Zero-shot Fact Verification
di: Luu, Son T., et al.
Pubblicazione: (2024)

Enhancing Text-based Knowledge Graph Completion with Zero-Shot Large Language Models: A Focus on Semantic Enhancement
di: Yang, Rui, et al.
Pubblicazione: (2023)

Instance-adaptive Zero-shot Chain-of-Thought Prompting
di: Yuan, Xiaosong, et al.
Pubblicazione: (2024)

A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks
di: Labrak, Yanis, et al.
Pubblicazione: (2023)

Distilling Large Language Models for Text-Attributed Graph Learning
di: Pan, Bo, et al.
Pubblicazione: (2024)

Beyond Pairwise: Global Zero-shot Temporal Graph Generation
di: Eirew, Alon, et al.
Pubblicazione: (2025)

LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models
di: Liusie, Adian, et al.
Pubblicazione: (2023)

In-Context Optimization for Retrieval-Augmented Generation: A Gradient-Descent Perspective
di: Li, Mingchen, et al.
Pubblicazione: (2026)

From Efficiency to Adaptivity: A Deeper Look at Adaptive Reasoning in Large Language Models
di: Wu, Chao, et al.
Pubblicazione: (2025)

Label Set Optimization via Activation Distribution Kurtosis for Zero-shot Classification with Generative Models
di: Li, Yue, et al.
Pubblicazione: (2024)

ChatZero:Zero-shot Cross-Lingual Dialogue Generation via Pseudo-Target Language
di: Liu, Yongkang, et al.
Pubblicazione: (2024)