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kidist-amde/README.md

Hi there 👋

  • I’m Kidist, a PhD student in the Information Retrieval Lab (IRLab) at the University of Amsterdam, supervised by Prof. dr. Maarten de Rijke and Dr. Andrew Yates.

  • My research focuses on generative methods for information retrieval, with broader interests in generative modeling, multimodal learning, and reinforcement learning.

    Kidist Google Scholar Kidist Amde Linkdein Kidist Amde Github Kidist StackOverflow Kidist Instagram

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  1. ddro ddro Public

    We introduce the direct document relevance optimization (DDRO) for training a pairwise ranker model. DDRO encourages the model to focus on document-level relevance during generation

    Python 34 3

  2. amharic-ir-benchmarks amharic-ir-benchmarks Public

    Official codebase for the ACL 2025 Findings paper: Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval.

    Jupyter Notebook 20 6

  3. Adv-KD Adv-KD Public

    Adv-KD: Adversarial Knowledge Distillation for Faster Diffusion Sampling.

    Python 5 1

  4. gabriben/awesome-generative-information-retrieval gabriben/awesome-generative-information-retrieval Public

    710 52

  5. Space-Time-Cube-visualization Space-Time-Cube-visualization Public

    Studies on Human Behavior - Geovisualization of Spatio-temporal data is a very promising topic, especially for social sciences. It is possible to use a space-time cube to reveal activity, travel pa…

    Jupyter Notebook 7 2

  6. Balanced-Face-Dataset Balanced-Face-Dataset Public

    Balanced Face Dataset: Guiding StyleGAN to Generate Labeled Synthetic Face Image Dataset for Underrepresented Group

    Jupyter Notebook 2