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Showing papers from University of Munich, Ludwig-Maximilians-Universität München Show all papers

78%Highly rated
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NeurIPS 2026Stanford University & LMU MuU Munich, Ludwig-Maximilians-UniStanfordU BolognaLMU MunichRL for LLMs

Tool Verification for Test-Time Reinforcement Learning

T³RL uses external tool verification to correct false-majority rewards in test-time RL, improving math reasoning across benchmarks.

Ruotong Liao, Nikolai Röhrich, Xiaohan Wang, Yuhui Zhang and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 7 on Hugging Face · Code ★ 2

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lenient 4/5
medium 7/10
strict 0/5
72%Highly rated
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NeurIPS 2026NYUU California, San DiegoU Munich, Ludwig-Maximilians-UniNew YorkAI policy & governance

On the Meta-Design of Allocation Problems

The paper defines meta-design for resource allocation by optimizing upstream design parameters like data, capacity, and quality, and demonstrates the framework in German employment and Ethiopian cash transfer programs.

Unai Fischer Abaigar, Emily Aiken, Christoph Kern, Juan C Perdomo

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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8/20 AI panelreviewers recommend it

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AI panel: 8 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 0/5