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Showing papers from University of Bologna Show all papers

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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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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 0/5
74%Highly rated
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NeurIPS 2026U BolognaImage restoration

Improving Diffusion Posterior Samplers with Lagged Temporal Corrections for Image Restoration

LAMP improves diffusion posterior samplers via second-order lagged temporal corrections that reduce reverse dynamics variability, yielding consistent gains over DiffPIR and DDRM without extra denoising steps.

Davide Evangelista, Elena Morotti, Francesco Pivi, Maurizio Gabbrielli

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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9/20 AI panelreviewers recommend it

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AI panel: 9 of 20 reviewers recommend it
lenient 3/5
medium 5/10
strict 1/5
71%Highly rated
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NeurIPS 2026U BolognaHarmonicUniversità PegasoUniversità di Pisa, University oAI for math & theorem proving

Mapping Uncharted Symmetries: Machine Discovery in Combinatorics

Machine learning methods SLURP, MapSeek-Functional, and MapSeek-Symbolic discover a new noncrossing-partition interpretation of q,t-Narayana polynomials and prove a previously unsolved symmetry case.

Eugenio Cainelli, Lorenzo Luccioli, Alessandro Iraci, Michele D'Adderio and 1 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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6/20 AI panelreviewers recommend it

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AI panel: 6 of 20 reviewers recommend it
lenient 1/5
medium 4/10
strict 1/5