✨Rethinking Saliency Maps: A Cognitive Human Aligned Taxonomy and Evaluation Framework for Explanations

📝 Summary:
This paper introduces the RFxG taxonomy to categorize saliency map explanations by reference-frame and granularity. It proposes novel faithfulness metrics to improve evaluation, aiming to align explanations with diverse user intent and human understanding.

🔹 Publication Date: Published on Nov 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.13081
• PDF: https://arxiv.org/pdf/2511.13081

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#ExplainableAI #SaliencyMaps #CognitiveScience #AIEvaluation #AIResearch

✨What does it mean to understand language?

📝 Summary:
Deep language understanding involves more than just surface meaning. It requires transferring information from the core language system to other brain regions for mental models, world knowledge, and memories. This offers a new strategy to study language comprehension.

🔹 Publication Date: Published on Nov 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.19757
• PDF: https://arxiv.org/pdf/2511.19757

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#LanguageUnderstanding #CognitiveScience #Neuroscience #MentalModels #NLP

✨ENACT: Evaluating Embodied Cognition with World Modeling of Egocentric Interaction

📝 Summary:
ENACT is a benchmark evaluating embodied cognition in vision-language models through egocentric world modeling tasks. It reveals a performance gap between VLMs and humans that widens with interaction, and models exhibit anthropocentric biases.

🔹 Publication Date: Published on Nov 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.20937
• PDF: https://arxiv.org/pdf/2511.20937

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#EmbodiedCognition #VisionLanguageModels #AIResearch #WorldModeling #CognitiveScience