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Found 6 papers, 0 papers with code
An Approach to Automatically generating Riddles aiding Concept Attainment
One of the primary challenges in online learning environments, is to retain learner engagement.
Characterizing Latent Perspectives of Media Houses Towards Public Figures
This work proposes a zero-shot approach for non-extractive or generative characterizations of person entities from a corpus using GPT-2.
AI based approach to Trailer Generation for Online Educational Courses
It also helps to generate curiosity and interest among the learners and encourages them to pursue a course.
Zero-shot Entity and Tweet Characterization with Designed Conditional Prompts and Contexts
In this work, we approach the problem of characterizing Named Entities and Tweets as an open-ended text classification and open-ended fact probing problem. We evaluate the zero-shot language model capabilities of Generative Pretrained Transformer 2 (GPT-2) to characterize Entities and Tweets subjectively with human psychology-inspired and logical conditional prefixes and contexts.
AI and the Sense of Self
After several winters, AI is center-stage once again, with current advances enabling a vast array of AI applications.
Paradigms of Computational Agency
Agent-based models have emerged as a promising paradigm for addressing ever increasing complexity of information systems.
