Posts by Collection

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.

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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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.