3 papers
cs.AI2026
Symbolic Grounding Reveals Representational Bottlenecks in Abstract Visual Reasoning
Mohit Vaishnav, Tanel Tammet
Vision--language models (VLMs) often fail on abstract visual reasoning benchmarks such as Bongard problems, raising the question of whether the main bottleneck lies in reasoning or…
cs.CV2025
Beyond the Linear Separability Ceiling: Aligning Representations in VLMs
Enrico Vompa, Tanel Tammet, Mohit Vaishnav
A challenge in advancing Visual-Language Models (VLMs) is determining whether their failures on abstract reasoning tasks, such as Bongard problems, stem from flawed perception or f…
cs.CV2025
A Cognitive Paradigm Approach to Probe the Perception-Reasoning Interface in VLMs
Mohit Vaishnav, Tanel Tammet
A fundamental challenge in artificial intelligence involves understanding the cognitive mechanisms underlying visual reasoning in sophisticated models like Vision-Language Models (…