Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
portfolio
Generative Retrieval
Research on generative information retrieval, direct relevance optimization, decoding, and continual retrieval memory.
Multilingual Retrieval
Work on embeddings, evaluation resources, and retrieval benchmarks for multilingual and low-resource settings.
RAG and Recommendation
Projects connecting neural IR, recommendation, retrieval-augmented generation, and large-scale machine learning.
publications
Balanced Face Dataset: Guiding StyleGAN for Labeled Synthetic Face Image Dataset for Underrepresented Group
Published in arXiv, 2023
An arXiv preprint on guiding StyleGAN to create labeled synthetic face datasets for underrepresented groups.
Recommended citation: Mekonnen, K. A., et al. (2023). "Balanced Face Dataset: Guiding StyleGAN for Labeled Synthetic Face Image Dataset for Underrepresented Group." arXiv preprint.
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Adv-KD: Adversarial Knowledge Distillation for Faster Diffusion Sampling
Published in arXiv, 2024
An arXiv preprint on adversarial knowledge distillation for faster diffusion sampling.
Recommended citation: Mekonnen, K. A., et al. (2024). "Adv-KD: Adversarial Knowledge Distillation for Faster Diffusion Sampling." arXiv preprint.
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Conditioning GAN Without Training Dataset
Published in arXiv, 2024
An arXiv preprint on conditioning GANs without a training dataset.
Recommended citation: Mekonnen, K. A., et al. (2024). "Conditioning GAN Without Training Dataset." arXiv preprint.
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Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval
Published in SIGIR 2025, 2025
A SIGIR 2025 full paper on lightweight document relevance optimization for generative information retrieval.
Recommended citation: Mekonnen, K. A., et al. (2025). "Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval." Proceedings of SIGIR 2025.
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Optimized Text Embeddings & Benchmarks for Amharic Passage Retrieval
Published in ACL Findings 2025, 2025
An ACL Findings 2025 paper on embeddings and benchmarks for Amharic passage retrieval.
Recommended citation: Mekonnen, K. A., et al. (2025). "Optimized Text Embeddings & Benchmarks for Amharic Passage Retrieval." Findings of the Association for Computational Linguistics.
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Lost in Decoding? Reproducing and Stress-Testing the Look-Ahead Prior in Generative Retrieval
Published in SIGIR 2026 Reproducibility Track, 2026
A SIGIR 2026 Reproducibility Track paper stress-testing the look-ahead prior in generative retrieval.
Recommended citation: Mekonnen, K. A., et al. (2026). "Lost in Decoding? Reproducing and Stress-Testing the Look-Ahead Prior in Generative Retrieval." Proceedings of SIGIR 2026.
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A Parametric Memory Head for Continual Generative Retrieval
Published in SIGIR 2026, 2026
A SIGIR 2026 full paper on continual generative retrieval with parametric memory.
Recommended citation: Mekonnen, K. A., et al. (2026). "A Parametric Memory Head for Continual Generative Retrieval." Proceedings of SIGIR 2026.
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talks
teaching
Academic Service
Service, Information retrieval, machine learning, and NLP communities, 2026
Reviewing and community service for information retrieval, machine learning, and natural language processing venues.
Teaching and Mentoring
Teaching and supervision, University of Amsterdam, 2026
Teaching, mentoring, and project support in information retrieval, machine learning, generative retrieval, retrieval-augmented generation, and multilingual retrieval.