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!
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!
Honored to see Formula Completion highlighted by @satyanadella 🎉
Proud to be part of the incredible team bringing this to life at Microsoft Excel!
Omri Fahn retweeted
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.
🤔 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
🤔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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🎙️ Prefer a quick listen?
• English NotebookLM podcast (8 min):
notebooklm.google.com/notebo…
• Hebrew NotebookLM podcast:
notebooklm.google.com/notebo…
8/
📄 Read the full paper:
arxiv.org/abs/2505.21218
Thanks for reading!
#AI #LLM #Uncertainty #Interpretability #Research
Omri Fahn retweeted
``NAST: Noise Aware Speech Tokenization for Speech Language Models,'' Shoval Messica, Yossi Adi, ift.tt/TwrHMcg
Omri Fahn retweeted
🚨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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