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FLANS at SemEval-2026 Task 7: RAG with Open-Sourced Smaller LLMs for Everyday Knowledge Across Diverse Languages and Cultures
arXiv – CS AI|Liliia Bogdanova, Shiran Sun, Lifeng Han, Natalia Amat Lefort, Flor Miriam Plaza-del-Arco||1 views
🤖AI Summary
Researchers developed FLANS, a system using retrieval-augmented generation with open-source smaller language models for the SemEval-2025 multilingual knowledge task. The system creates culturally-aware knowledge bases from Wikipedia content and integrates live search capabilities, focusing on privacy and sustainability through smaller LLMs deployed on the Ollama platform.
Key Takeaways
- →FLANS system uses open-source smaller LLMs with retrieval-augmented generation for multilingual question answering tasks.
- →Researchers created culturally-aware knowledge bases by extracting Wikipedia content with prepared keyword lists.
- →The system integrates live online search capabilities through DuckDuckGo for enhanced knowledge retrieval.
- →Focus on privacy and sustainability by deploying smaller LLMs on the Ollama platform rather than large proprietary models.
- →Testing covered English, Spanish, and Chinese languages with shared code and resources available on GitHub.
#ai-research#llm#multilingual#open-source#rag#knowledge-base#semeval#wikipedia#smaller-models#cultural-awareness
Read Original →via arXiv – CS AI
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