Update README.md

README.md

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 This Hugging Face organization hosts the models, datasets, and demos produced by our group and our collaborators.
 
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-## 🔬 Research Themes
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-- **Temporal IR & NLP** — time-sensitive question answering, timeline generation, diachronic language understanding
-- **Retrieval & Reranking** — dense retrieval, LLM-based rerankers, reasoning-intensive IR, multimodal retrieval
-- **Retrieval-Augmented Generation** — novel RAG architectures, evaluation, and benchmarks
-- **Complex & Multi-hop QA** — compositional reasoning, hint generation, question difficulty estimation
-- **News & Archival Collections** — IR/NLP under OCR noise, access methods for historical archives, computational archival science
-- **Trust & Bias** — fake news detection, bias analysis, popularity and positional bias in LLMs
-- **Benchmark Construction** — rigorous, reproducible benchmarks for retrieval, reasoning, and multimodal tasks
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-Publications at **ACL, EMNLP, NAACL, SIGIR, CIKM, COLING, WSDM**, and more — see the [group publications page](https://ds-informatik.uibk.ac.at/doku.php?id=publications).
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-## 📦 What You'll Find Here
 
-- 🧠 **Models** — retrievers, rerankers, and fine-tuned LLMs from our papers
-- 📚 **Datasets** — benchmarks and evaluation resources
-- 🚀 **Spaces** — interactive demos for our tools and systems
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-## 🤝 Collaboration
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-The group collaborates actively with researchers across Japan, Germany, the USA, the Netherlands, France, China, the UK, Singapore, Poland, and beyond. If you're interested in joint work, reach out via the [collaboration page](https://ds-informatik.uibk.ac.at/doku.php?id=collaboration).
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-**Contact:** [Prof. Dr. Adam Jatowt](https://ds-informatik.uibk.ac.at/doku.php?id=contact)
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 ## 🙏 Acknowledgments