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Showing papers from Max Planck Institute for Intelligent Systems, Max-Planck Institute Show all papers

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NeurIPS 2026Vector InstituteU TorontoETH ZurichDepartment of Computer Science, Max Planck Institute for IntelliLLM evaluation & benchmarks

SuperSycophantic: Stress-Testing Frontier LLMs from Single- to Multi-Turn Sycophancy

Terry J Zhang, Oscar S Yasunaga, Wenyuan Jiang, Jessica Bo and 7 more

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
45%Niche pick
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NeurIPS 2026Max Planck Institute for IntelliINRIA3D vision & reconstruction

BrickFlow: Connectivity-Guided Brick Reconstruction

Peter Kulits, Cordelia Schmid

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

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
71%Highly rated
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NeurIPS 2026Max Planck Institute for IntelliUToronto & MPIMPI for Intelligent Systems, TübLLM evaluation & benchmarks

Causality can systematically address the monsters under the bench(marks)

Causality systematically addresses benchmark biases and artifacts by making assumptions explicit to model phenomena, formulate hypotheses, and clarify method strengths through common causal topologies.

Felix Leeb, Zhijing Jin, Bernhard Schölkopf

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 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 5/5
medium 2/10
strict 0/5
78%Highly rated
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NeurIPS 2026National University of SingaporeMax Planck Institute for IntelliMax Planck Institute for Intelli3D vision & reconstruction

UniCon3R: Unified Contact-aware 4D Human-Scene Reconstruction from Monocular Video

UniCon3R uses inferred 4D human-scene contact to correct poses and jointly reconstruct physically plausible 4D humans aligned with scene geometry from monocular video.

TANUJ SUR, Shashank Tripathi, Nikos Athanasiou, Ha Linh Nguyen and 3 more

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

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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