Omri Fahn (@OmriFahn) header
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Joined February 2022
Photo by Omri Fahn (@OmriFahn)Photo by Omri Fahn (@OmriFahn)
Omri Fahn retweeted
3 papers accepted at #ICML2026 🇰🇷🎉 🔸 From Directions to Regions: Decomposing Activations in Language Models via Local Geometry arxiv.org/abs/2602.02464 🔸 Interpretability can be Actionable actionable-interpretability-… 🔸Hallucinations Undermine Trust; Metacognition is a Way Forward (out soon) @_galyo @ymatias Congrats to all collaborators!
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MFA is a beautiful visualization, but not only that. It’s a practical tool: competitive localization and better steering, while revealing that concepts live in regions, not just single directions. Grateful I got to contribute to this with an awesome team!
It's time to look past dictionary learning for decomposing LM activations. What happens when we instead leverage local geometry? We find a natural region-based decomposition that yields better steering and localization 🧵 1/
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Honored to see Formula Completion highlighted by @satyanadella 🎉 Proud to be part of the incredible team bringing this to life at Microsoft Excel!
This is super useful! With new Formula Completions in Excel, just type "=" and Copilot proactively suggests a formula, based on the context of your sheet. Here's a great example.
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This is super useful! With new Formula Completions in Excel, just type "=" and Copilot proactively suggests a formula, based on the context of your sheet. Here's a great example.
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🤔 Can an LLM sense it's about to hallucinate—before it speaks? 🤔 And do those gut feelings live inside its geometry? Thrilled to share our new paper: “Pre-trained LLMs Learn Multiple Types of Uncertainty” (Cohen • Fahn • de Melo, 2025) 📄 arxiv.org/abs/2505.21218
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🤔Can an LLM "unconscious" feel a lie bubbling up before it speaks? 🤔And what mysteries hide in its linear space of uncertainty? Thrilled to share our new paper: “Pre-trained LLMs Learn Multiple Types of Uncertainty” (@roicohen9•@OmriFahn•@GerardDeMelo) arxiv.org/abs/2505.21218
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``NAST: Noise Aware Speech Tokenization for Speech Language Models,'' Shoval Messica, Yossi Adi, ift.tt/TwrHMcg
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🚨I’m excited to share our #INTERSPEECH2024 paper "NAST: Noise Aware Speech Tokenization for Speech Language Models” 🥳 W/ @adiyossLC Paper-arxiv.org/abs/2406.11037 Code-github.com/ShovalMessica/NAS…
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Hello Berliners, tired of hunting for the perfect apartment or sublet? As a former exchange student in Berlin, I understand the struggle! So, I decided to let AI do the hard work. AI-Gesucht.com
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Our platform is really simple to use, quicker to use than the time it takes to read this post 😉 May the AI-Gesucht guide you to your dream apartment Inside of Berlin’s ring 💍 !
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