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Samuel Greiff

2 papers hereh-index 6415 citations17 works total

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.HC1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedDistinguishing performance gains from learning when using generative AI

37 citations · 37 across the 1 of their papers we have counts for

collaborators
Showing cs.HCShow all

2 papers · 1 filter

cs.HC2025

The Social Blindspot in Human-AI Collaboration: How Undetected AI Personas Reshape Team Dynamics

Lixiang Yan, Xibin Han, Yu Zhang +8

As generative AI systems become increasingly embedded in collaborative work, they are evolving from visible tools into human-like communicative actors that participate socially rat…

cs.HC2024

Promises and challenges of generative artificial intelligence for human learning

Lixiang Yan, Samuel Greiff, Ziwen Teuber +1

Generative artificial intelligence (GenAI) holds the potential to transform the delivery, cultivation, and evaluation of human learning. This Perspective examines the integration o…

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