Werner Geyer

IBM (United States)

Papers

2

Total Citations

38

H-Index

2

About

Werner Geyer is a leading researcher at the intersection of human-computer interaction and artificial intelligence, with a primary focus on conversational interfaces and the safe deployment of large language models (LLMs). His most influential work, "Conversational Interfaces for Information Search" (2020), has garnered 34 citations, establishing foundational principles for how users interact with AI-driven search systems. This research has shaped the design of more intuitive, dialogue-based information retrieval tools, making complex data more accessible through natural conversation. More recently, Geyer has turned his attention to the critical challenge of AI safety, as evidenced by his 2026 paper "Benchmarking large language models on safety risks in scientific laboratories." Though newly published with 4 citations, this work addresses a pressing need: evaluating LLMs in high-stakes environments where errors could have serious consequences. By developing benchmarks for safety risks in lab settings, Geyer is pioneering methods to ensure that AI assistants can be trusted in scientific research. His contributions bridge the gap between user experience and responsible AI, making him a key voice in both the design and governance of next-generation language technologies.

Research Focus

Key Achievements

2
H-Index
2
Papers
38
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Conversational Interfaces for Information Search
34 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: IBM (United States)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago