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In this AI Research Roundup episode, Alex discusses the paper: ' Abstract: Enabling LLMs to improve their outputs by using more Solving Poker and Diplomacy, Debating RL+Reasoning with Ilya, what's *wrong* with the System 1/2 analogy, and where ... This video demonstrates how to effectively autoscale your AI Today, we're joined by Jonas Geiping, research group leader at Ellis Institute and the Max Planck Institute for Intelligent Systems ... Just say “Wait ” – and your LLM gets smarter?! We explain how researchers built an advanced reasoning model with just 1000 ...
Thinking Longer, Not Larger: Enhancing SWE Agents via Scaling Test-Time Compute (ASE 2025) The reasoning capabilities of Large Language Models are experiencing a significant leap forward through test-time scaling, a ... This lecture (by Sean Welleck) for CMU CS 11-711, Advanced NLP covers: - At the first Nebius Meetup in London, Boris Yangel, Head of AI R&D team at Nebius, told about their recent research on combining ... In this video, we explore a fascinating research paper detailing how Large Language Models (LLMs) are learning to think smarter ...
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Scaling Test-Time Compute for Coding Agents
Charlie Snell, UC Berkeley. Title: Scaling LLM Test-Time Compute
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters (Paper)
OpenAI o1's New Paradigm: Test-Time Compute Explained
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Last Updated: May 27, 2026
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