Good Papers

Showing papers from Helmholtz Zentrum München Show all papers

57%Worth a look
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CompJudge: Fine-Grained Comparative Evaluation using Multimodal LLM for Subject-Driven Generation

Nam Hyeon-Woo, Wenbin Ouyang, Ciprian A Corneanu

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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1/20 AI panelreviewers recommend it

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
71%Highly rated
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Phase Transitions in Attention: A Bayesian Theory of Copy Head Emergence

Bayesian theory reveals softmax attention learns copy heads via a first-order data phase transition, unlike linear attention's second-order transition and crossover.

Itay Lavie, Kirsten Fischer, Andrey Lekov, Frederic Van Maele and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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7/20 AI panelreviewers recommend it

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AI panel: 7 of 20 reviewers recommend it
lenient 2/5
medium 4/10
strict 1/5
80%Must read
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Croissant Baker: Metadata Generation for Discoverable, Governable, and Reusable ML Datasets

Croissant Baker generates validated Croissant metadata locally from dataset directories via modular handlers, achieving 97, 100% agreement with ground truth across 140+ datasets including MIMIC-IV.

Rafi Al Attrach, Rajna Fani, Sebastian Lobentanzer, Joan Giner-Miguelez and 16 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 2/5
74%Highly rated
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Sample Efficient Generative Molecular Optimization with Joint Self-Improvement

Joint Self-Improvement uses a joint generative-predictive model and self-improving sampling to reduce distribution shift and efficiently generate optimized molecules under limited evaluation budgets.

Serra Korkmaz, Adam Izdebski, Jonathan Pirnay, Rasmus Møller-Larsen and 5 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · 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 5/5
medium 4/10
strict 0/5