Good Papers

Showing papers from Apertus ETH Zürich AI Center Show all papers

57%Worth a look
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Scaling Laws for Multimodal Data Mixtures

Aditi Khandelwal, Ayush Kumar Tarun, Yixuan Xu, Imanol Schlag and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
88%Must read
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POLAR-Bench: A Diagnostic Benchmark for Privacy-Utility Trade-offs in LLM Agents

POLAR-Bench evaluates LLM agent privacy-utility trade-offs via adversarial third-party probing across 10 domains, finding frontier models block over 99% of protected attributes while smaller open-weight models leak over half.

Qiaoyuan ZHENG, yiqu yang, Qi Gao, Imanol Schlag

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

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 3/5
89%Must read
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SFT-then-RL Outperforms Mixed-Policy Methods for LLM Reasoning

Mixed-policy LLM reasoning gains stem from buggy baselines; fixing optimizer and loss bugs makes standard SFT-then-RL outperform them by up to 22 points.

Alexis Limozin, Eduard F Ďurech, Torsten Hoefler, Imanol Schlag and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 4/5