Copertina

Feasibility of Structuring Stress Documentation Using an Ontology-Guided Large Language Model

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kim, Hyeoneui, Kim, Jeongha, Xu, Huijing, Jung, Jinsun, Kang, Sunghoon, Jang, Sun Joo
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Detecting Redundant Health Survey Questions Using Language-agnostic BERT Sentence Embedding (LaBSE)
di: Kang, Sunghoon, et al.
Pubblicazione: (2024)

Development of a Validation and Inspection Tool for Armband-based Lifelog Data (VITAL) to Facilitate the Clinical Use of Wearable Data: A Prototype and Usability Evaluation
di: Eunyoung, Im, et al.
Pubblicazione: (2025)

Align to Structure: Aligning Large Language Models with Structural Information
di: Kim, Zae Myung, et al.
Pubblicazione: (2025)

Real‐World Survival Outcomes in EGFR‐Mutant Advanced NSCLC Treated With EGFR TKIs: Insights From a Single‐Center Clinical Data Warehouse Analysis in South Korea
di: Bomi Kim, et al.
Pubblicazione: (2025)

How Well Do Large Language Models Truly Ground?
di: Lee, Hyunji, et al.
Pubblicazione: (2023)

Jailbreaking Multimodal Large Language Models using Multi-Clip Video
di: Kang, Choongwon, et al.
Pubblicazione: (2026)

CUE-M: Contextual Understanding and Enhanced Search with Multimodal Large Language Model
di: Go, Dongyoung, et al.
Pubblicazione: (2024)

Personality Vector: Modulating Personality of Large Language Models by Model Merging
di: Sun, Seungjong, et al.
Pubblicazione: (2025)

Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models
di: Hayati, Shirley Anugrah, et al.
Pubblicazione: (2024)

Graph Elicitation for Guiding Multi-Step Reasoning in Large Language Models
di: Park, Jinyoung, et al.
Pubblicazione: (2023)

Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
di: Min, Kyungmin, et al.
Pubblicazione: (2024)

Ontology-Free General-Domain Knowledge Graph-to-Text Generation Dataset Synthesis using Large Language Model
di: Kim, Daehee, et al.
Pubblicazione: (2024)

ChatEXAONEPath: An Expert-level Multimodal Large Language Model for Histopathology Using Whole Slide Images
di: Kim, Sangwook, et al.
Pubblicazione: (2025)

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

SWITCH: Studying with Teacher for Knowledge Distillation of Large Language Models
di: Koo, Jahyun, et al.
Pubblicazione: (2024)

Can Large Language Models Differentiate Harmful from Argumentative Essays? Steps Toward Ethical Essay Scoring
di: Kim, Hongjin, et al.
Pubblicazione: (2026)

HyperGraphPro: Progress-Aware Reinforcement Learning for Structure-Guided Hypergraph RAG
di: Park, Jinyoung, et al.
Pubblicazione: (2026)

Causal Reasoning in Large Language Models: A Knowledge Graph Approach
di: Kim, Yejin, et al.
Pubblicazione: (2024)

Unplug and Play Language Models: Decomposing Experts in Language Models at Inference Time
di: Yang, Nakyeong, et al.
Pubblicazione: (2024)

VLind-Bench: Measuring Language Priors in Large Vision-Language Models
di: Lee, Kang-il, et al.
Pubblicazione: (2024)

A Training-Free Large Reasoning Model-based Knowledge Tracing Framework for Unified Prediction and Prescription
di: Lee, Unggi, et al.
Pubblicazione: (2026)

ETHIC: Evaluating Large Language Models on Long-Context Tasks with High Information Coverage
di: Lee, Taewhoo, et al.
Pubblicazione: (2024)

ReviewScore: Misinformed Peer Review Detection with Large Language Models
di: Ryu, Hyun, et al.
Pubblicazione: (2025)

KOFFVQA: An Objectively Evaluated Free-form VQA Benchmark for Large Vision-Language Models in the Korean Language
di: Kim, Yoonshik, et al.
Pubblicazione: (2025)

Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models
di: Kim, Kyeonghyun, et al.
Pubblicazione: (2025)

Ontology-Based Knowledge Graph Framework for Industrial Standard Documents via Hierarchical and Propositional Structuring
di: Park, Jiin, et al.
Pubblicazione: (2025)

Equipping Retrieval-Augmented Large Language Models with Document Structure Awareness
di: Xu, Lingnan, et al.
Pubblicazione: (2025)

Guiding Reasoning in Small Language Models with LLM Assistance
di: Kim, Yujin, et al.
Pubblicazione: (2025)

Doc-PP: Document Policy Preservation Benchmark for Large Vision-Language Models
di: Jang, Haeun, et al.
Pubblicazione: (2026)

Probing-RAG: Self-Probing to Guide Language Models in Selective Document Retrieval
di: Baek, Ingeol, et al.
Pubblicazione: (2024)

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

Fine-grained Gender Control in Machine Translation with Large Language Models
di: Lee, Minwoo, et al.
Pubblicazione: (2024)

ToolHaystack: Stress-Testing Tool-Augmented Language Models in Realistic Long-Term Interactions
di: Kwak, Beong-woo, et al.
Pubblicazione: (2025)

Susceptibility of Large Language Models to User-Driven Factors in Medical Queries
di: Lim, Kyung Ho, et al.
Pubblicazione: (2025)

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

Utility of Multimodal Large Language Models in Analyzing Chest X-ray with Incomplete Contextual Information
di: Kim, Choonghan, et al.
Pubblicazione: (2024)

PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learning
di: Jung, Min Jae, et al.
Pubblicazione: (2024)

Subgraph-Aware Training of Language Models for Knowledge Graph Completion Using Structure-Aware Contrastive Learning
di: Ko, Youmin, et al.
Pubblicazione: (2024)

Guaranteed Generation from Large Language Models
di: Kim, Minbeom, et al.
Pubblicazione: (2024)

QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language Models
di: Jeon, Hyesung, et al.
Pubblicazione: (2025)