🔍 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
