Kidist Amde Mekonnen
@kidist-amde.bsky.social
Ph.D. Candidate @ IRLab, UvA | AI Researcher | Information Retrieval | Generative AI | Passionate about responsible AI, multi-modal learning, and tech for real-world impact | Lifelong learner 🌱
📄 Preprint: arxiv.org/abs/2504.05181
💻 Code: github.com/kidist-amde/...
Big thanks to Maarten de Rijke & Yubao Tang for the guidance and collaboration.
See you in Padua! 🇮🇹🍕
#SIGIR2025 #InformationRetrieval #GenerativeIR #PhDLife #MachineLearning #NLP #IR
💻 Code: github.com/kidist-amde/...
Big thanks to Maarten de Rijke & Yubao Tang for the guidance and collaboration.
See you in Padua! 🇮🇹🍕
#SIGIR2025 #InformationRetrieval #GenerativeIR #PhDLife #MachineLearning #NLP #IR
Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval
Generative information retrieval (GenIR) is a promising neural retrieval paradigm that formulates document retrieval as a document identifier (docid) generation task, allowing for end-to-end optimizat...
arxiv.org
April 9, 2025 at 1:00 PM
📄 Preprint: arxiv.org/abs/2504.05181
💻 Code: github.com/kidist-amde/...
Big thanks to Maarten de Rijke & Yubao Tang for the guidance and collaboration.
See you in Padua! 🇮🇹🍕
#SIGIR2025 #InformationRetrieval #GenerativeIR #PhDLife #MachineLearning #NLP #IR
💻 Code: github.com/kidist-amde/...
Big thanks to Maarten de Rijke & Yubao Tang for the guidance and collaboration.
See you in Padua! 🇮🇹🍕
#SIGIR2025 #InformationRetrieval #GenerativeIR #PhDLife #MachineLearning #NLP #IR