Andreea Iana
@iana_andreea
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PhD candidate @dwsunima | Recommender Systems, Information Retrieval, NLP
Joined April 2023
⚠️Struggling with multilingual news recommendation? We introduce NaSE, a news-adapted sentence encoder!🙌 ✅No costly fine-tuning needed ✅Perfect for cold-start & few-shot scenarios #ecir2025 📰: Try it out @huggingface🤗: 👇
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RT @heikopaulheim: We're hiring! Want to join @dwsunima for a one-year PostDoc in an exciting project on the crossroads of #knowledgegraph…
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💪We train NaSE on 2 curated massively #multilingual news datasets, perfect for #NLProc tasks!🔥 👉 Explore on @huggingface🤗: 📁PolyNews: 📁PolyNewsParallel: Joint work w/ @fdschmidt @gg42554 @heikopaulheim @dwsunima
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RT @fdschmidt: 📣Happy to (pre-)release my Fleurs-SLU benchmark to evaluate massively multilingual spoken language understanding on SIB & Be…
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RT @occiglot: 📣Community Call Contribute to LLM pre-training resources in (your) unrepresented language! Please submit any websites in t…
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RT @mar_lutz: Where does gender bias manifest in model parameters? 🤔 Excited to present our work on Local Contrastive Editing of Gender Ste…
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Excited to present MANNeR at @emnlpmeeting on Wednesday 4 pm! Drop by our poster to chat about recommender systems, personalization & beyond-accuracy objectives in news recommendation! #EMNLP2024
🚀 Introducing MANNeR, our modular news recommendation 🤖📰 framework that uses ⚖️ metric-based learning to support on-the-fly customization over multiple aspects at inference time. #emnlp2024 findings: w/ @gg42554 @heikopaulheim @dwsunima (1/⏳️)
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RT @fdschmidt: Excited to present NLLB-LLM2Vec at @emnlpmeeting Tuesday 2pm! Drop by our poster to chat about multilingual & multimodal re…
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Main takeaways: 1️⃣ Semantic richness of news encoders is 🔑 2️⃣ User encoders can be simplified without sacrificing accuracy 📈 3️⃣ We need more rigorous evaluation to optimize model selection!
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Even more, its aspect-specific modules are robust across languages and domains! 🌐
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I am looking forward to presenting our paper "MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation" @SIGIRConf this afternoon in the M2.3 Domain Specific RecSys session and at the Poster Session on Wednesday afternoon. #SIGIR2024
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🎉 Exciting news! xMIND is now also on @huggingface 🤗 Check it out if you need multi-parallel data for cross-lingual news recommendation or domain-specific text retrieval ⬇️ xMINDlarge: xMINDsmall: w/ @gg42554 @heikopaulheim
📢We're releasing xMIND, a #diverse multi-parallel #multilingual news #dataset for cross-lingual news #recommendation in 14 high- & low-resource languages! By @iana_andreea @gg42554 @heikopaulheim
@dwsunima
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🤔 If you're interested in more #multilingual news data for other #NLProc tasks, check out PolyNews 📰 on @huggingface ! w/ 77 low & high-resource languages in 19 scripts 🌍 🤗 📃 w/ @fdschmidt @gg42554 @heikopaulheim @dwsunima
‼️ Desperately 👀 for multilingual parallel data for #machinetranslation or text retrieval? Look no further! 🙌 Check out PolyNewsParallel on @huggingface! 📰 w/ 833 language pairs over 64 languages & 17 scripts 🌍 🤗 #NLProc @dwsunima ⬇️⬇️
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