paper review
4 notes, newest first.
OntoExtend: A Framework for Requirement-driven and Scalable Ontology Extension with LLMs
The paper introduces OntoExtend, a framework that uses Large Language Models (LLMs) to extend existing ontologies based on requirements or competency questions. The framework was evaluated on two use cases and found to…
SciDiagramEdit: Learning to Edit Scientific Diagrams from Paper Revisions
The paper presents SciDiagramEdit, a system that automates the time-consuming task of editing scientific diagrams in research papers based on authors' revisions. The system learns from natural language instructions and…
SLORR: Simple and Efficient In-Training Low-Rank Regularization
The paper introduces SLORR, a simple and efficient method for in-training low-rank regularization of neural networks. It addresses the limitations of existing methods by being stateless and preserving the original…
Official Response to Reviewer Rw2o (4)
The text is a response to a review of a paper for the ICLR conference in 2026, but the specific content of the paper or the review is not provided.
