RESEARCH NOTES
Behind the papers.
Research note2024
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Investigating the geometric reasoning gap in large language models.
Finding Biases in Code Generation
When generated code follows superficial cues instead of the underlying task.
Measuring CLEVRness
Black-box testing of visual reasoning models.