Research

I am interested in the following areas of research:

Publications

Conference Papers

• SaGE: Evaluating Moral Consistency in Large Language Models
  Vamshi Krishna Bonagiri, Sreeram Vennam, Priyanshul Govil, Ponnurangam Kumaraguru, Manas Gaur
  International Conference on Computational Linguistics, COLING 2024
  [Paper]
• Towards Effective Paraphrasing for Information Disguise
  Anmol Agarwal, Shrey Gupta, Vamshi Krishna Bonagiri, Manas Gaur, Joseph Reagle, Ponnurangam Kumaraguru
  ECIR 2023
  [Paper]
• Are Deepfakes Concerning? Analyzing Conversations of Deepfakes on Reddit and Exploring Societal Implications
  Dilrukshi Gamage, Piyush Ghasiya, Vamshi Krishna Bonagiri, Mark E Whiting, Kazutoshi Sasahara
  CHI Conference on Human Factors in Computing Systems, 2022
  [Paper]
• Cobias: Contextual Reliability in Bias Assessment
  Priyanshul Govil, Hemang Jain , Vamshi Krishna Bonagiri, Aman Chadha, Sanorita Dey, Ponnurangam Kumaraguru, Manas Gaur
  Websci 2025
  [Paper]
• Measuring Moral Inconsistencies in Large Language Models
  Vamshi Krishna Bonagiri, Sreeram Vennam, Manas Gaur, Ponnurangam Kumaraguru
  The Sixth BlackboxNLP Workshop, EMNLP 2024
  [Paper]
• Representation Learning for Identifying Depression Causes in Social Media
  Prerna Govil, Vamshi Krishna Bonagiri, Mayank Gaur, Ponnurangam Kumaraguru
  Third ACM SIGKDD Workshop on Knowledge-infused Learning (KiL), 2023
  [Paper]

Current Research Projects

• AI Saftey Evaluations - Working on developing robust evaluation frameworks for LLMs and investigating their consistency and reasoning capabilities.
• Adversarial Attacks - Working on establishing adversarial attack bounds for LLMs and multimodal ML systems.
• Quantifying Uncertainty in AI Systems - Working on developing robust measures to deal with complex events where the model has to understand its Uncertainty.