Students presented the papers below at the  Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge (AAAI-MAKE 2024) AAAI Spring Symposium at Stanford University. Download papers here.

• Yuxin Zi, Kaushik Roy, Vignesh Narayanan, and Amit Sheth presented their paper titled "Exploring Alternative Approaches to Language Modeling for Learning from Data and Knowledge"
• Kanak Raj, Kaushik Roy, Vamshi Bonagiri, Priyanshul Govil and Krishnaprasad Thirunarayanan:
  "K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries".
• Kaushik Roy, Alessandro Oltramari, Yuxin Zi, Chathurangi Shyalika, Vignesh Narayanan and Amit Sheth:
  "Causal Event Graph-Guided Language-based Spatiotemporal Question Answering"