no code implementations • 27 Oct 2023 • Niharika Sri Parasa, Chaitali Diwan, Srinath Srinivasa
One of the primary challenges in online learning environments, is to retain learner engagement.
no code implementations • 12 Sep 2023 • Sharath Srivatsa, Srinath Srinivasa
This work proposes a zero-shot approach for non-extractive or generative characterizations of person entities from a corpus using GPT-2.
no code implementations • 10 Jan 2023 • Prakhar Mishra, Chaitali Diwan, Srinath Srinivasa, G. Srinivasaraghavan
It also helps to generate curiosity and interest among the learners and encourages them to pursue a course.
no code implementations • 18 Apr 2022 • Sharath Srivatsa, Tushar Mohan, Kumari Neha, Nishchay Malakar, Ponnurangam Kumaraguru, Srinath Srinivasa
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.
no code implementations • 7 Jan 2022 • Srinath Srinivasa, Jayati Deshmukh
After several winters, AI is center-stage once again, with current advances enabling a vast array of AI applications.
no code implementations • 10 Dec 2021 • Srinath Srinivasa, Jayati Deshmukh
Agent-based models have emerged as a promising paradigm for addressing ever increasing complexity of information systems.