Researchers Seek User Input on Interpretable LLM-Powered Document Ranking and Clustering Interface
Shreya Shankar and collaborators are actively designing a user interface aimed at making LLM-powered document ranking and clustering more interpretable and steerable. The project is in an active user study phase, suggesting early-stage HCI research at the intersection of information retrieval and LLM tooling. Steerability and interpretability as explicit design goals signal a response to known pain points in black-box LLM pipelines.