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New chatbot method tailors academic advice using progressive profile awareness

Researchers have developed proFILL, a novel method to enhance hoBIT, a university academic advising chatbot, by making it profile-aware. This system progressively gathers necessary student profile attributes, such as department and degree program, to tailor search results. Experiments demonstrate that proFILL significantly outperforms existing retrieval-augmented generation (RAG) baselines and is preferred by users, offering a cost-effective on-premise deployment option with open-weight models. AI

IMPACT Enhances chatbot capabilities for personalized information retrieval in academic settings.

RANK_REASON The cluster describes a new method presented in an academic paper for a specialized chatbot application. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New chatbot method tailors academic advice using progressive profile awareness

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The cluster describes a new method presented in an academic paper for a specialized chatbot application. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · SeongKu Kang ·

    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 transfor…