17 citations · 19 across the 5 of their papers we have counts for
5 papers
DUQGen: Effective Unsupervised Domain Adaptation of Neural Rankers by Diversifying Synthetic Query Generation
Ramraj Chandradevan, Kaustubh D. Dhole, Eugene Agichtein
State-of-the-art neural rankers pre-trained on large task-specific training data such as MS-MARCO, have been shown to exhibit strong performance on various ranking tasks without do…
QueryExplorer: An Interactive Query Generation Assistant for Search and Exploration
Kaustubh D. Dhole, Shivam Bajaj, Ramraj Chandradevan +1
Formulating effective search queries remains a challenging task, particularly when users lack expertise in a specific domain or are not proficient in the language of the content. P…
KAUCUS: Knowledge Augmented User Simulators for Training Language Model Assistants
Kaustubh D. Dhole
An effective multi-turn instruction-following assistant can be developed by creating a simulator that can generate useful interaction data. Apart from relying on its intrinsic weig…
An Interactive Query Generation Assistant using LLM-based Prompt Modification and User Feedback
Kaustubh D. Dhole, Ramraj Chandradevan, Eugene Agichtein
While search is the predominant method of accessing information, formulating effective queries remains a challenging task, especially for situations where the users are not familia…
Is AI Art Another Industrial Revolution in the Making?
Alexis Newton, Kaustubh Dhole
A major shift from skilled to unskilled workers was one of the many changes caused by the Industrial Revolution, when the switch to machines contributed to decline in the social an…