Author

Mykola Pechenizkiy

3 papers indexed here

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Review Aug 2026

Fairness-Aware Network Embeddings: Methods, Applications, and Challenges

Network embedding methods learn low-dimensional representations of graph-structured data to support downstream tasks such as node classification, link prediction, and influence maximization. However, real-world networks often reflect structural inequalities arising from demographic imbalances, homophily, and other soci...

E. Has, Harshit Yadav, Gaurav Dixit et al. · 1 citation

#machine learning Dec 2023

GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language Models

This work proposes a bias evaluation framework named GPTBIAS that leverages the high performance of LLMs (e.g., GPT-4 \cite{openai2023gpt4}) to assess bias in models and introduces prompts specifically designed for evaluating model bias.

Jiaxu Zhao, Meng Fang, Shi-Rui Pan et al. · arXiv.org · 23 citations

#artificial intelligence Preprint Aug 2026

Zero-Shot Respiratory Sound Classification through LLM-Augmented Audio-Text Alignment

This work proposes a framework that aligns self-supervised respiratory encoders with medical terminology in a shared latent space turning them into a zero-shot-capable foundation model, and uses a medical LLM to synthesize structured reports from metadata, creating dense semantic anchors for contrastive learning.

Mustafa Talha İlerisoy, Hung Manh Pham, Mathias Funk et al. · 0 citations