Thanks to its walk-based corpus generation, Walk&Retrieve is:
✅ Adaptable to dynamic KGs
✅ Efficient: no fine-tuning of backbone LLM, single LLM call/query
✅ Compatible w/ any LLM

Achieving:
📈More accurate answers
📉Fewer hallucinated or missing responses
⏳Low query latency

💪We train NaSE on 2 curated massively #multilingual news datasets, perfect for #NLProc tasks!🔥

👉 Explore on @hf.co 🤗:
📁PolyNews: huggingface.co/datasets/aia...
📁PolyNewsParallel: huggingface.co/datasets/aia...

Joint work w/ @fdschmidt.bsky.social @gglavas.bsky.social

👋

I'd also like to be added! Thanks!

Thanks for this! Feel free to add me