6 citations · 6 across the 6 of their papers we have counts for
7 papers
ClassicLogic: A Knowledge-Driven Benchmark of Classic Puzzle Games for Evaluating Compositional Generalization
Mahnoor Shahid, Hannes Rothe
Compositional generalization, the ability to understand and produce novel combinations of known components, remains a fundamental challenge for modern artificial intelligence. Whil…
AGEL-Comp: A Neuro-Symbolic Framework for Compositional Generalization in Interactive Agents
Mahnoor Shahid, Hannes Rothe
Large Language Model (LLM)-based agents exhibit systemic failures in compositional generalization, limiting their robustness in interactive environments. This work introduces AGEL-…
Grounding vs. Compositionality: On the Non-Complementarity of Reasoning in Neuro-Symbolic Systems
Mahnoor Shahid, Hannes Rothe
Compositional generalization remains a foundational weakness of modern neural networks, limiting their robustness and applicability in domains requiring out-of-distribution reasoni…
Machine Learning for Detection and Mitigation of Web Vulnerabilities and Web Attacks
Mahnoor Shahid
Detection and mitigation of critical web vulnerabilities and attacks like cross-site scripting (XSS), and cross-site request forgery (CSRF) have been a great concern in the field o…
Paint it Black: Generating paintings from text descriptions
Mahnoor Shahid, Mark Koch, Niklas Schneider
Two distinct tasks - generating photorealistic pictures from given text prompts and transferring the style of a painting to a real image to make it appear as though it were done by…
White-Box Attacks on Hate-speech BERT Classifiers in German with Explicit and Implicit Character Level Defense
Shahrukh Khan, Mahnoor Shahid, Navdeeppal Singh
In this work, we evaluate the adversarial robustness of BERT models trained on German Hate Speech datasets. We also complement our evaluation with two novel white-box character and…
Hindi/Bengali Sentiment Analysis Using Transfer Learning and Joint Dual Input Learning with Self Attention
Shahrukh Khan, Mahnoor Shahid
Sentiment Analysis typically refers to using natural language processing, text analysis and computational linguistics to extract affect and emotion based information from text data…