317 citations
- Daffodil International UniversityBD2 papers
- National and Kapodistrian University of AthensGR2 papers
- New Jersey Institute of TechnologyUS2 papers
- Qatar UniversityQA2 papers
- Saarland UniversityDE2 papers
- Technical University of MunichDE2 papers
- Universidade Federal de Minas GeraisBR2 papers
- Aalborg UniversityDK1 paper
- Acibadem City ClinicBG1 paper
- AIT Austrian Institute of Technology GmbHAT1 paper
- Al-Azhar UniversityEG1 paper
- Alexandria UniversityEG1 paper
22 papers
Can Thinking Models Think to Detect Hateful Memes?
Mohamed Bayan Kmainasi, Mucahid Kutlu, Ali Ezzat Shahroor +2
Hateful memes often require compositional multimodal reasoning: the image and text may appear benign in isolation, yet their interaction conveys harmful intent. Although thinking-b…
PromSec: Prompt Optimization for Secure Generation of Functional Source Code with Large Language Models (LLMs)
Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah +1
The capability of generating high-quality source code using large language models (LLMs) reduces software development time and costs. However, they often introduce security vulnera…
BLP-2023 Task 2: Sentiment Analysis
Md. Arid Hasan, Firoj Alam, Anika Anjum +2
We present an overview of the BLP Sentiment Shared Task, organized as part of the inaugural BLP 2023 workshop, co-located with EMNLP 2023. The task is defined as the detection of s…
Towards Mobility Data Science (Vision Paper)
Mohamed Mokbel, Mahmoud Sakr, Li Xiong +45
Mobility data captures the locations of moving objects such as humans, animals, and cars. With the availability of GPS-equipped mobile devices and other inexpensive location-tracki…
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
Tirtha Chanda, Katja Hauser, Sarah Hobelsberger +32
Although artificial intelligence (AI) systems have been shown to improve the accuracy of initial melanoma diagnosis, the lack of transparency in how these systems identify melanoma…
Interpretable Scientific Discovery with Symbolic Regression: A Review
Nour Makke, Sanjay Chawla
Symbolic regression is emerging as a promising machine learning method for learning succinct underlying interpretable mathematical expressions directly from data. Whereas it has be…