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In this talk, we discuss how this conceptual framework, known as We are excited to feature Jonas Hübotter, who is currently a PhD student at ETH Zürich and will discuss " Jonas Hübotter from ETH presents SIFT (Select Informative data for Fine-Tuning), a breakthrough algorithm that dramatically ... Paper: Abstract: Over more than a decade there has been an extensive research effort on how to ... ... Detailed DSL Approach (Domain Specific Language) 48:47 LLM Guided Search (in detail) 1:09:00
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Test-Time Training Agents for Deep Exploration | Jonas Hübotter, ETH Zürich | BLISS e.V.
Learning at test time in LLMs [Jonas Hübotter]
Test-Time Training Done Right
Test-Time Training Agents to Solve Challenging Problems | Jonas Huebotter (ETH Zurich)
Test-Time Training Done Right
#303 Test time training
Titans: Learning to Memorize at Test Time (Paper Analysis)
ARC Prize: A Guide to DSL, LLM-Guided & Test-time Training Approaches
NVIDIA Is Wrong? Test-Time Training with KV Binding ≠ Linear Attention (Paper Explained)
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Last Updated: June 24, 2026
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![Learning at test time in LLMs [Jonas Hübotter]](https://i0.wp.com/i.ytimg.com/vi/vei7uf9wOxI/mqdefault.jpg?resize=320,180)
