Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions Michele Miranda, Elena Sofia Ruzzetti, Andrea Santilli et al. Action editor: Tian Li https://openreview.net/forum?id=Ss9MTTN7OL #privacy #anonymizing #secure

Our survey on 𝗣𝗿𝗲𝘀𝗲𝗿𝘃𝗶𝗻𝗴 𝗣𝗿𝗶𝘃𝗮𝗰𝘆 𝗶𝗻 𝗟𝗟𝗠𝘀 has been published in 𝗧𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝘀 𝗼𝗻 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 (𝗧𝗠𝗟𝗥)! 🎉 Check it out!

Many LLM uncertainty estimators perform similarly, but does that mean they do the same? No! We find that they use different cues, and combining them gives even better performance. 🧵1/5 📄 openreview.net/forum?id=QKR... NeurIPS: Sunday, East Exhibition Hall A, Safe Gen AI workshop

Interested in learning how to evaluate uncertainty in LLMs? Check out our work at NeurIPS! Feel free to reach out for a chat!

Our piece is finally out in the Imminent blog! 🎉It presents preliminary findings of our recent study evaluating the usefulness of word-level quality estimation in real-world post-editing settings (paper forthcoming)! 🧵1/ imminent.translated.com/can-word-lev...

Come by to our poster at CLiCit!

If you’re interested in mechanistic interpretability, I just found this starter pack and wanted to boost it (thanks for creating it @butanium.bsky.social !). Excited to have a mech interp community on bluesky 🎉 go.bsky.app/LisK3CP