Dan Roth

Dan Roth is the Eduardo D. Glandt Distinguished Professor at the University of Pennsylvania in the School of Engineering and Applied Science, Department of Computer and Information Science. His research integrates machine learning and inference methods to advance natural language understanding, focusing on semantic modeling, information extraction, and constrained conditional models.

Research Interests: Dan’s work spans machine learning, inference methods, and their applications in natural language processing, including semantic role labeling, co-reference resolution, and textual entailment. He emphasizes incidental supervision and declarative learning-based programming via tools like LBJava and Saul.

Article Trends: Recent publications highlight multimodal learning, LLM uncertainty quantification, and temporal table reasoning, with keywords like Computer Science, Artificial Intelligence, and Medical Informatics. Subfields include vision-language models, hybrid SQL-LLM systems, and multilingual guardrails.

Scientific Awards:

• DARPA Information Science and Technology Advisory Panel (2020)
• IJCAI John McCarthy Award (2017)
• Fellow of AAAS (2014)
• University of Illinois College of Engineering Advising Award (2013)
• Fellow of ACL (2012)
• Fellow of ACM (2011)
• Best Student Paper at CoNLL (2011)
• Best Paper at Army Science Conference (2010)
• Fellow of AAAI (2009)
• Xerox Faculty Research Award (2005)

Advising and Grants: Dan has advised PhD students such as Sihao Chen and Haoyu Wang. His projects include BLINK (multimodal LLMs) and DiverseAgentEntropy (LLM uncertainty quantification).

Labs and Teams: Dan leads the Cognitive Computation Group, which focuses on computational theories of intelligence and their implementation in machine learning and NLP systems.