commonsense-knowledge

Hubert Dreyfus's 1985 critique argued that symbolic AI was a degenerating research program due to unsolved commonsense knowledge problems and failure to model human understanding and embodiment.

Proposes DCC, a dynamic commonsense coordination framework for empathetic response generation that integrates residual-based interaction, association-guided filtering, and iterative decoding, achieving improved emotion classification and response diversity over baselines.

This paper introduces Act2Answer, a protocol to evaluate knowledge retention in Vision-Language-Action (VLA) models by requiring agents to answer questions through physical actions. It finds that VLAs retain basic knowledge but show gaps on richer semantic categories, and that VQA co-training helps.

Researchers introduce a method to automatically augment commonsense knowledge corpora with negation, creating 2M+ triples that improve LLM negation understanding when used for pre-training.