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researcher

Ute Schmid

4 papers hereh-index 110 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI3
  • cs.HC1
same name
  • Ute Schmid — 9 papers, h 27
  • Ute Schmid — 8 papers, h 10
  • Ute Schmid — 4 papers, h 2
  • Ute Schmid — 3 papers, h 3
  • Ute Schmid — 2 papers, h 3
  • Ute Schmid — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedAligning Generalisation Between Humans and Machines

1 citations · 1 across the 4 of their papers we have counts for

collaborators
Showing cs.AIShow all

3 papers · 1 filter

cs.AI2026

The Dual Role of Abstracting over the Irrelevant in Symbolic Explanations: Cognitive Effort vs. Understanding

Zeynep G. Saribatur, Johannes Langer, Ute Schmid

Explanations are central to human cognition, yet AI systems often produce outputs that are difficult to understand. While symbolic AI offers a transparent foundation for interpreta…

cs.AI2025

Ultra Strong Machine Learning: LLM-Generated Explanations Do Not Yet Suffice for Teaching Humans Active Learning Strategy

Lun Ai, Johannes Langer, Ute Schmid +1

Active learning is a general learning mechanism shared by artificial and human learners. Whether AI can teach humans such a strategy that transfers across domains is an open questi…

cs.AI2024★ 1 cited

Aligning Generalisation Between Humans and Machines

Filip Ilievski, Barbara Hammer, Frank van Harmelen +22

Recent advances in AI -- including generative approaches -- have resulted in technology that can support humans in scientific discovery and forming decisions, but may also disrupt…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.