Cover Image

Predicting Microbial Ontology and Pathogen Risk from Environmental Metadata with Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yoo, Hyunwoo, Rosen, Gail L.
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Predicting Anti-microbial Resistance using Large Language Models
by: Yoo, Hyunwoo, et al.
Published: (2024)

Exploring Adversarial Robustness in Classification tasks using DNA Language Models
by: Yoo, Hyunwoo, et al.
Published: (2024)

Can Large Language Models Predict Antimicrobial Resistance Gene?
by: Yoo, Hyunwoo
Published: (2025)

Abundance-Aware Set Transformer for Microbiome Sample Embedding
by: Yoo, Hyunwoo, et al.
Published: (2025)

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

Metadata Conditioned Large Language Models for Localization
by: Mukherjee, Anjishnu, et al.
Published: (2026)

Making Metadata More FAIR Using Large Language Models
by: Sundaram, Sowmya S., et al.
Published: (2023)

Complex Ontology Matching with Large Language Model Embeddings
by: Sousa, Guilherme, et al.
Published: (2025)

Meronymic Ontology Extraction via Large Language Models
by: Zhang, Dekai, et al.
Published: (2025)

End-to-End Ontology Learning with Large Language Models
by: Lo, Andy, et al.
Published: (2024)

The Mercurial Top-Level Ontology of Large Language Models
by: Köhler, Nele, et al.
Published: (2024)

On the Use of Large Language Models to Generate Capability Ontologies
by: da Silva, Luis Miguel Vieira, et al.
Published: (2024)

Metadata Conditioning Accelerates Language Model Pre-training
by: Gao, Tianyu, et al.
Published: (2025)

OntoTune: Ontology-Driven Self-training for Aligning Large Language Models
by: Liu, Zhiqiang, et al.
Published: (2025)

Feasibility of Structuring Stress Documentation Using an Ontology-Guided Large Language Model
by: Kim, Hyeoneui, et al.
Published: (2025)

HALO: An Ontology for Representing and Categorizing Hallucinations in Large Language Models
by: Nananukul, Navapat, et al.
Published: (2023)

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

Ontology Matching with Large Language Models and Prioritized Depth-First Search
by: Taboada, Maria, et al.
Published: (2025)

Ontology-Enhanced Knowledge Graph Completion using Large Language Models
by: Guo, Wenbin, et al.
Published: (2025)

Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication
by: Chung, Philip, et al.
Published: (2024)

Large Language Models and Provenance Metadata for Determining the Relevance of Images and Videos in News Stories
by: Peterka, Tomas, et al.
Published: (2025)

CORE: Comprehensive Ontological Relation Evaluation for Large Language Models
by: Dwivedi, Satyam, et al.
Published: (2026)

Language Models Learn Metadata: Political Stance Detection Case Study
by: Cao, Stanley, et al.
Published: (2024)

LITE: Modeling Environmental Ecosystems with Multimodal Large Language Models
by: Li, Haoran, et al.
Published: (2024)

Structured Insight from Unstructured Data: Large Language Models for SDOH-Driven Diabetes Risk Prediction
by: Ronaghi, Sasha, et al.
Published: (2026)

QQ: A Toolkit for Language Identifiers and Metadata
by: Poelman, Wessel, et al.
Published: (2026)

OntoURL: A Benchmark for Evaluating Large Language Models on Symbolic Ontological Understanding, Reasoning and Learning
by: Zhang, Xiao, et al.
Published: (2025)

Can Large Language Models Understand DL-Lite Ontologies? An Empirical Study
by: Wang, Keyu, et al.
Published: (2024)

Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models
by: Jung, Chani, et al.
Published: (2024)

Predicting Failures of LLMs to Link Biomedical Ontology Terms to Identifiers Evidence Across Models and Ontologies
by: Hier, Daniel B., et al.
Published: (2025)

Ontologies in Design: How Imagining a Tree Reveals Possibilites and Assumptions in Large Language Models
by: Haghighi, Nava, 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)

CVE-LLM : Ontology-Assisted Automatic Vulnerability Evaluation Using Large Language Models
by: Ghosh, Rikhiya, et al.
Published: (2025)

Conversational Control with Ontologies for Large Language Models: A Lightweight Framework for Constrained Generation
by: Gendron, Barbara, et al.
Published: (2026)

CURA: Clinical Uncertainty Risk Alignment for Language Model-Based Risk Prediction
by: Wang, Sizhe, et al.
Published: (2026)

Reliable Control-Point Selection for Steering Reasoning in Large Language Models
by: Zhuang, Haomin, et al.
Published: (2026)

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

Evaluating Proactive Risk Awareness of Large Language Models
by: Luo, Xuan, et al.
Published: (2026)

Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models
by: Kim, Hyunwoo, et al.
Published: (2025)

Standardize: Aligning Language Models with Expert-Defined Standards for Content Generation
by: Imperial, Joseph Marvin, et al.
Published: (2024)