Cover Image

End-to-End Ontology Learning with Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lo, Andy, Jiang, Albert Q., Li, Wenda, Jamnik, Mateja
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe
by: Ziarko, Alicja, et al.
Published: (2024)

An End-to-End Approach for Child Reading Assessment in the Xhosa Language
by: Chevtchenko, Sergio, et al.
Published: (2025)

End-to-end Planner Training for Language Modeling
by: Cornille, Nathan, et al.
Published: (2024)

FLAME-MoE: A Transparent End-to-End Research Platform for Mixture-of-Experts Language Models
by: Kang, Hao, et al.
Published: (2025)

Janus-Q: End-to-End Event-Driven Trading via Hierarchical-Gated Reward Modeling
by: Li, Xiang, et al.
Published: (2026)

End-To-End Causal Effect Estimation from Unstructured Natural Language Data
by: Dhawan, Nikita, et al.
Published: (2024)

WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning
by: Wei, Zhepei, et al.
Published: (2025)

How Well Does Your Tabular Generator Learn the Structure of Tabular Data?
by: Jiang, Xiangjian, et al.
Published: (2025)

End-to-End Training for Back-Translation with Categorical Reparameterization Trick
by: Heo, DongNyeong, et al.
Published: (2022)

LKV: End-to-End Learning of Head-wise Budgets and Token Selection for LLM KV Cache Eviction
by: Zhou, Enshuai, et al.
Published: (2026)

SOMBRERO: Measuring and Steering Boundary Placement in End-to-End Hierarchical Sequence Models
by: Neitemeier, Pit, et al.
Published: (2026)

Rationalizing Transformer Predictions via End-To-End Differentiable Self-Training
by: Brinner, Marc, et al.
Published: (2025)

Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation
by: Li, Hao, et al.
Published: (2024)

Autonoma: A Hierarchical Multi-Agent Framework for End-to-End Workflow Automation
by: Reda, Eslam, et al.
Published: (2026)

Continual Learning for Monolingual End-to-End Automatic Speech Recognition
by: Eeckt, Steven Vander, et al.
Published: (2021)

MATATA: Weakly Supervised End-to-End MAthematical Tool-Augmented Reasoning for Tabular Applications
by: Vinayagame, Vishnou, et al.
Published: (2024)

Efficient End-to-end Language Model Fine-tuning on Graphs
by: Xue, Rui, et al.
Published: (2023)

Integrating Pre-Trained Speech and Language Models for End-to-End Speech Recognition
by: Hono, Yukiya, et al.
Published: (2023)

TabStruct: Measuring Structural Fidelity of Tabular Data
by: Jiang, Xiangjian, et al.
Published: (2025)

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

Zero-Shot Generalizable End-to-End Task-Oriented Dialog System using Context Summarization and Domain Schema
by: Mosharrof, Adib, et al.
Published: (2023)

Generalizable End-to-End Tool-Use RL with Synthetic CodeGym
by: Du, Weihua, et al.
Published: (2025)

Predictive Concept Decoders: Training Scalable End-to-End Interpretability Assistants
by: Huang, Vincent, et al.
Published: (2025)

EMMA: End-to-End Multimodal Model for Autonomous Driving
by: Hwang, Jyh-Jing, et al.
Published: (2024)

Towards End-to-End Spoken Grammatical Error Correction
by: Bannò, Stefano, et al.
Published: (2023)

Evaluating Compact LLMs for Zero-Shot Iberian Language Tasks on End-User Devices
by: Seller, Luís Couto, et al.
Published: (2025)

Analyzing Mitigation Strategies for Catastrophic Forgetting in End-to-End Training of Spoken Language Models
by: Hsiao, Chi-Yuan, et al.
Published: (2025)

POSESTITCH-SLT: Linguistically Inspired Pose-Stitching for End-to-End Sign Language Translation
by: Joshi, Abhinav, et al.
Published: (2025)

End-to-End Spoken Grammatical Error Correction
by: Qian, Mengjie, et al.
Published: (2025)

Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization
by: Zamani, Hamed, et al.
Published: (2024)

A Closer Look into Mixture-of-Experts in Large Language Models
by: Lo, Ka Man, et al.
Published: (2024)

GIT-CXR: End-to-End Transformer for Chest X-Ray Report Generation
by: Sîrbu, Iustin, et al.
Published: (2025)

TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models
by: Margeloiu, Andrei, et al.
Published: (2024)

Wikontic: Constructing Wikidata-Aligned, Ontology-Aware Knowledge Graphs with Large Language Models
by: Chepurova, Alla, et al.
Published: (2025)

End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer
by: Chu, Wenda, et al.
Published: (2026)

Developing an End-to-End Framework for Predicting the Social Communication Severity Scores of Children with Autism Spectrum Disorder
by: Mun, Jihyun, et al.
Published: (2024)

SDialog: A Python Toolkit for End-to-End Agent Building, User Simulation, Dialog Generation, and Evaluation
by: Burdisso, Sergio, et al.
Published: (2025)

RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy
by: Zhao, Zhonghan, et al.
Published: (2025)

Agentic AI framework for End-to-End Medical Data Inference
by: Shimgekar, Soorya Ram, et al.
Published: (2025)

Multimodal Lego: Model Merging and Fine-Tuning Across Topologies and Modalities in Biomedicine
by: Hemker, Konstantin, et al.
Published: (2024)