Shashank Srivastava

Shashank Srivastava is an Assistant Professor of Computer Science at the University of North Carolina at Chapel Hill (UNC Chapel Hill), where he leads the Learning from Language Lab. His research focuses on artificial intelligence and natural language processing, emphasizing learning from language supervision, neuro-symbolic methods, and interactive machine learning. Prior to his current role, he worked at Microsoft Research in Redmond and completed his PhD in Machine Learning at Carnegie Mellon University under Tom Mitchell, pioneering work on training machine learning models using natural language explanations.

Education:

• PhD in Machine Learning, Carnegie Mellon University (2018)
• MTech Thesis: 'Evolution of Compositional Languages in Multiple Agent Social Communities,' IIT Kanpur (2010)

Research Interests:

• Developing interpretable and interactive AI systems
• Zero-shot learning and natural language-driven classifier training
• Neuro-symbolic integration for robust decision-making
• Addressing bias and fairness in machine learning

Publications reflect a focus on explainable AI, quantifier semantics, and ethical integration of social norms in language models. His lab explores novel applications of natural language supervision for task-oriented learning and human-AI collaboration.

Labs/Teams:

• Learning from Language Lab (UNC Chapel Hill)