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Notes on paper review
4 notes
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.
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
