4 citations · 4 across the 4 of their papers we have counts for
4 papers
Evaluating Reasoning Models for Queries with Presuppositions
Rose Sathyanathan, Kinshuk Vasisht, Danish Pruthi
Millions of users turn to AI models for their information needs. It is conceivable that a large number of user queries contain assumptions that may be factually inaccurate. Prior w…
Knowledge Graph Guided Evaluation of Abstention Techniques
Kinshuk Vasisht, Navreet Kaur, Danish Pruthi
To deploy language models safely, it is crucial that they abstain from responding to inappropriate requests. Several prior studies test the safety promises of models based on their…
Richer Output for Richer Countries: Uncovering Geographical Disparities in Generated Stories and Travel Recommendations
Kirti Bhagat, Kinshuk Vasisht, Danish Pruthi
While a large body of work inspects language models for biases concerning gender, race, occupation and religion, biases of geographical nature are relatively less explored. Some re…
Infusing Knowledge into Large Language Models with Contextual Prompts
Kinshuk Vasisht, Balaji Ganesan, Vikas Kumar +1
Knowledge infusion is a promising method for enhancing Large Language Models for domain-specific NLP tasks rather than pre-training models over large data from scratch. These augme…