parameterlab.bsky.social
Empowering individuals and organisations to safely use foundational AI models. https://parameterlab.de
👤 Joined on 18 November 2024
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@parameterlab.bsky.socialNew paper out!🎉 One of our most surprising findings: fine-tuning an LLM on debugging code has unexpected side-effects on contextual privacy. The model learns from printing variables that internal state are ok to share, then generalises this to social situations🤯 A🧵below👇
Show Post🎉Thrilled to share that both of my #ICLR2026 submissions were accepted (2/2)! 🪩 DISCO, Efficient Benchmarking: bsky.app/profile/arub... 🩺 Dr.LLM, Dynamic Layer Routing: www.linkedin.com/posts/ahmed-... Huge thanks to my co-authors, especially first authors @arubique.bsky.social & Ahmed Heakl!
Show PostOur #EMNLP2025 paper Leaky Thoughts 🫗 shows that Large Reasoning Models (LRMs) can unintentionally leak sensitive information hidden in their internal thoughts. 📍 Come chat with Tommaso at our poster on Friday 7th, 10:30–12:00 in Hall C3 📄 aclanthology.org/2025.emnlp-m...
Show Post🎉 Delighted to announce that our 🫗Leaky Thoughts paper about contextual privacy with reasoning models is accepted to #EMNLP main! Huge congrats to the amazing team Tommaso Green, Haritz Puerto @coallaoh.bsky.social @oodgnas.bsky.social
Show PostResearchTrend.AI is hiring a data engineer - python, airflow, and postgre talents ate required (+experience with LLMs would be awesome). Please apply to recruit@parameterlab.de or dm me!!!
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