Beyond Boundaries: A Human-like Approach for Question Answering over Structured and Unstructured Information Sources

Title Together with my co-authors, we are excited to share our work on an easy-to-apply method to improve LLM reasoning and how we applied it for question answering across heterogeneous sources. 🚀 [...]

By |April 10, 2024|Tags: |0 Comments

Neural Language Models – A Path to Artificial General Intelligence or a Blind Alley?

[Disclaimer: The text below represents a personal opinion based on the scientific evidence we have so far.] With the rapid progress AI research has made over the past years, the decades-old questio [...]

By |August 25, 2021|1 Comment
Prof. Dr. Jens Lehmann is a Principal Scientist at Amazon where he works at the AGI (Artificial General Intelligence) organisation on advancing large language models, conversational AI and knowledge graphs. He also holds an honorary professorship at TU Dresden, was selected as a fellow of ELLIS and is a member of  InfAI. His academic activities at TU Dresden and InfAI support the Smart Data Analytics research group. Previously, he was jointly appointed full professor at the University of Bonn and Fraunhofer IAIS leading approximately 40 researchers. In this role, he was a lead scientist at Fraunhofer IAIS and coordinated the Dresden branch of the institute. His research interests involve knowledge graphs, machine learning as well as question answering & dialogue systems. His main research goal is to investigate and build generally intelligent systems by combining knowledge- and data-driven approaches. Prof. Lehmann authored more than 200 articles in international journals and conferences winning 15 best paper awards and obtaining more than 25000 citations and h-index 60+. He is a supporter and contributor to community research projects, including DBpedia, DL-Learner and LinkedGeoData. Previously, he led the AKSW research group and completed his PhD with „summa cum laude“ at the University of Leipzig with visits to the University of Oxford.

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