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Sebastian Farquhar We looked into the theory about this in our recent work on how to efficiently obtain samples to estimate semantic entropy. We also found that this correct estimator boosts performance a lot: arxiv.org/abs/2406.04306

Interesting in scaling up neural operators? Happy to announce that Universal Physics Transformers (UPT) -- a scalable framework for neural operators is accepted at #neurips2024. Paper: arxiv.org/abs/2402.12365 Project page: ml-jku.github.io/UPT/

On Information-Theoretic Measures of Predictive Uncertainty Generalized view on uncertainty is given: depending on the assumptions on a) the approximation of true model and b) the predicting model, different uncertainty measures can be derived... P: arxiv.org/abs/2410.10786

Relying on this formula to measure predictive uncertainty? You might measure the wrong thing, depending on your assumptions. Time to shed light on the basics of uncertainty estimation. 🧵👇

𝗡𝗲𝘄 𝗣𝗮𝗽𝗲𝗿 𝗔𝗹𝗲𝗿𝘁: Rethinking Uncertainty Estimation in Natural Language Generation 🌟 Introducing 𝗚-𝗡𝗟𝗟, a theoretically grounded and highly efficient uncertainty estimate, perfect for scalable LLM applications 🚀 Dive into the paper 👇arxiv.org/abs/2412.15176

Often LLMs hallucinate because of semantic uncertainty due to missing factual training data. We propose a method to detect such uncertainties using only one generated output sequence. Super efficient method to detect hallucination in LLMs.

Defending against adversarial prompts is hard; defending against fine-tuning API attacks is much harder. In our new AI Security Institute pre-print, we break alignment and extract harmful info using entirely benign and natural interactions during fine-tuning & inference. 😮 🧵 1/10

📢🔔I am excited to share the details on our optimized xLSTM architecture for our xLSTM 7B model!🚨 We optimized the architecture with two goals in mind: - Efficiency (in Training and Inference) and - Stability 🧵(1/7)

Hot take: I think we just demonstrated the first AI agent computer worm 🤔 When an agent sees a trigger image it's instructed to execute malicious code and then share the image on social media to trigger other users' agents This is a chance to talk about agent security 👇

Exciting new paper! We show how #Agentic #AI, web based Agentic AI in particular, can be jailbroken and made to propagate these jailbreaks at scale—just by posting images on social media. A system-level attack beyond just VLMs. Great work led by Lukas Aichberger