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NeurIPS 2026U California, BerkeleyUC BerkeleyUC Berkeley / UC IrvineVision-language models

Animation2Code: Evaluating Temporal Visual Reasoning in Video-to-Code Generation

Animation2Code benchmarks video-to-code generation for web animations, showing state-of-the-art vision-language models struggle with temporal consistency despite high appearance fidelity.

Anya Ji, Abhijith Varma Mudunuri, David Chan, Alane Suhr

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

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lenient 4/5
medium 4/10
strict 2/5
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NeurIPS 2026U California, BerkeleyThoughtful LabUC Berkeley / UC IrvineThoughtfulMultimodal reasoning

PitchBench: Measuring Pitch Hearing in Audio-Language Models

PitchBench evaluates pitch hearing in audio-language models via 28 experiments, finding their pitch perception remains highly unreliable across instruments and acoustic conditions.

Milan Liessens Dujardin, Song-Ze Yu, Craver C Thomas-Smith, David Chan and 1 more

Sydney Poster Session 5, Thu, Dec 10, 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 5/5
medium 7/10
strict 4/5