3 papers
q-bio.NC2026
Human face perception reflects inverse-generative and naturalistic discriminative objectives
Wenxuan Guo, Heiko H. Schütt, Kamila Maria Jozwik +3
The perceptual representations supporting our ability to recognize faces remain a computational mystery. Deep neural networks offer mechanistic hypotheses for human face perception…
q-bio.NC2025
Model-Behavior Alignment under Flexible Evaluation: When the Best-Fitting Model Isn't the Right One
Itamar Avitan, Tal Golan
Linearly transforming stimulus representations of deep neural networks yields high-performing models of behavioral and neural responses to complex stimuli. But does the test accura…
cs.CL2025
Core Knowledge Deficits in Multi-Modal Language Models
Yijiang Li, Qingying Gao, Tianwei Zhao +8
While Multi-modal Large Language Models (MLLMs) demonstrate impressive abilities over high-level perception and reasoning, their robustness in the wild remains limited, often falli…