hoBIT: A Profile-Aware Retrieval-Augmented Chatbot for University Academic Advising
In university academic advising, identical questions can require different answers depending on a student's department, admission cohort, and degree program, causing profile-blind retrievers to surface plausible but inapplicable evidence. We present proFILL, a method for transforming hoBIT, our college's current rule-based advising chatbot, into a profile-aware retrieval-augmented generation (RAG) system. Rather than requiring a complete user profile upfront, proFILL progressively acquires only the profile attributes needed for each query, guided by both the query intent and the initially retrieved evidence, and uses them to condition retrieval over a profile-aware index. Extensive experi...
| Authors | Yoonseo Kim, Seongmin Lee, Joongheon Kim et al. |
|---|---|
| Primary category | cs.IR |
| Published | 27 August 2026 |
| Last updated at source | 27 August 2026 |
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