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Martin Schmitt

4 accepted papers

2025

CVE-LLM: Ontology-Assisted Automatic Vulnerability Evaluation Using Large Language Models

Rikhiya Ghosh, Hans-Martin von Stockhausen, Martin Schmitt, George Marica Vasile, Sanjeev Kumar Karn, Oladimeji Farri
AAAI 2025technical

The National Vulnerability Database (NVD) publishes over a thousand new vulnerabilities monthly, with a projected 25 percent increase in 2024, highlighting the crucial need for rapid vulnerability identification to mitigate cybersecurity attacks and save costs and resources. In this work, we propose…

Cited by 1Source ↗PDF ↗Scholar ↗
2022

Improving Scene Graph Classification by Exploiting Knowledge from Texts

Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp
AAAI 2022technical

Training scene graph classification models requires a large amount of annotated image data. Meanwhile, scene graphs represent relational knowledge that can be modeled with symbolic data from texts or knowledge graphs. While image annotation demands extensive labor, collecting textual descriptions of…

Cited by 21Source ↗PDF ↗Scholar ↗
2020

Increasing Learning Efficiency of Self-Attention Networks through Direct Position Interactions, Learnable Temperature, and Convoluted Attention

Philipp Dufter, Martin Schmitt, Hinrich Schütze
COLING 2020main

Self-Attention Networks (SANs) are an integral part of successful neural architectures such as Transformer (Vaswani et al., 2017), and thus of pretrained language models such as BERT (Devlin et al., 2019) or GPT-3 (Brown et al., 2020). Training SANs on a task or pretraining them on language modeling…

Cited by 10Source ↗PDF ↗code ↗Scholar ↗