3 citations · 8 across the 17 of their papers we have counts for
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cs.HC2026
OwlerLite: Scope- and Freshness-Aware Web Retrieval for LLM Assistants
Saber Zerhoudi, Michael Dinzinger, Michael Granitzer +1
Browser-based language models often use retrieval-augmented generation (RAG) but typically rely on fixed, outdated indices that give users no control over which sources are consult…
cs.HC2026
From SERPs to Agents: A Platform for Comparative Studies of Information Interaction
Saber Zerhoudi, Michael Granitzer
The diversification of information access systems, from RAG to autonomous agents, creates a critical need for comparative user studies. However, the technical overhead to deploy an…
cs.HC2026★ 1 cited
In-Browser Agents for Search Assistance
Saber Zerhoudi, Michael Granitzer
A fundamental tension exists between the demand for sophisticated AI assistance in web search and the need for user data privacy. Current centralized models require users to transm…