? SIGIR 2025 Paper Spotlight #3: Researching the Future of Professional Search
Last (but definitely not least!) in our SIGIR 2025 contributions series:
Doctoral Consortium Paper: "From Professional Search to Generative Deep Research Systems: How Can Expert Oversight Improve Search Outcomes?" ??
By Samy Ateia
With the rise of GenAI in professional search — from enterprise copilots to systematic reviews — one big question comes up:
Can we trust fully automated systems in high-stakes professional tasks, e.g., in biomedical research?
Fully autonomous GenAI may boost productivity - but without expert input, we risk inaccuracy, misalignment, and overreliance on generated content.
? Samy's research is up to explore how expert feedback can be systematically integrated into GenAI-driven search pipelines to improve result quality for professional searchers.
? Key directions include:
??Testing human-in-the-loop input for query formulation, relevance judgment, and information extraction
??Comparing human-guided vs. fully automated GenAI search systems
??Comparing human expert guidance vs. GenAI-simulated expert guidance in search systems
??Evaluating on systematic review and biomedical QA datasets
Looking forward to discussing how we can design more effective GenAI systems for professional search at SIGIR 2025! ???
? Who’s joining the discussion at the Doctoral Consortium? ?
#DoctoralConsortium
#ProfessionalSearch
#SearchSystems #GenerativeSearch #GenAI
#InteractiveIR #HumanInTheLoop #BiomedicalIR
#Research #InformationRetrieval #IR
#SIGIR #SIGIR2025
#ResearchSuccess #ResearchPaperAccepted
#InformationScienceRegensburg #StayInformed
