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Found 9 papers, 4 papers with code
Affective and Dynamic Beam Search for Story Generation
Storytelling's captivating potential makes it a fascinating research area, with implications for entertainment, education, therapy, and cognitive studies.
Traffic-Domain Video Question Answering with Automatic Captioning
Video Question Answering (VidQA) exhibits remarkable potential in facilitating advanced machine reasoning capabilities within the domains of Intelligent Traffic Monitoring and Intelligent Transportation Systems.
Preconditioned Visual Language Inference with Weak Supervision
However, it is unclear if SOTA visual language models (VLMs) can extract such preconditions and infer the affordance of objects with them.
VIPHY: Probing "Visible" Physical Commonsense Knowledge
While such tasks measure the requisite knowledge to ground and reason over a given visual instance, they do not, however, measure the ability of VLMs to retain and generalize such knowledge.
Intelligent Traffic Monitoring with Hybrid AI
Challenges in Intelligent Traffic Monitoring (ITMo) are exacerbated by the large quantity and modalities of data and the need for the utilization of state-of-the-art (SOTA) reasoners.
PInKS: Preconditioned Commonsense Inference with Minimal Supervision
Reasoning with preconditions such as "glass can be used for drinking water unless the glass is shattered" remains an open problem for language models.
Evaluating Machine Common Sense via Cloze Testing
Language models (LMs) show state of the art performance for common sense (CS) question answering, but whether this ability implies a human-level mastery of CS remains an open question.
PaCo: Preconditions Attributed to Commonsense Knowledge
To address this gap, we propose a novel challenge of reasoning with circumstantial preconditions.
Consolidating Commonsense Knowledge
Commonsense reasoning is an important aspect of building robust AI systems and is receiving significant attention in the natural language understanding, computer vision, and knowledge graphs communities.
