1 citations · 1 across the 3 of their papers we have counts for
4 papers
Feature Generation Using LLMs: An Evolutionary Algorithm Approach
Aria Nourbakhsh, Benoît Alcaraz, Christoph Schommer
A crucial step in machine learning pipelines is to present each entity with features or attributes that are representative of the characteristics of the processed entities. Feature…
AEyeDE: An Attention-Based Attribution Framework for AI-Generated Text Detection
Aria Nourbakhsh, Adelaide Danilov, Christoph Schommer +1
Detecting AI-generated text is becoming increasingly challenging as modern language models approach human-level fluency and can evade detectors that rely on surface statistics or l…
Evaluating Explainable AI Attribution Methods in Neural Machine Translation via Attention-Guided Knowledge Distillation
Aria Nourbakhsh, Salima Lamsiyah, Adelaide Danilov +1
The study of the attribution of input features to the output of neural network models is an active area of research. While numerous Explainable AI (XAI) techniques have been propos…
Cluster Purge Loss: Structuring Transformer Embeddings for Equivalent Mutants Detection
Adelaide Danilov, Aria Nourbakhsh, Christoph Schommer
Recent pre-trained transformer models achieve superior performance in various code processing objectives. However, although effective at optimizing decision boundaries, common appr…