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researcher

Teo Sušnjak

3 papers here

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

author position
  • first author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.HC2
  • cs.AI1
ORCID 0000-0001-9416-1435
same name
  • Teo Sušnjak — 5 papers

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

most citedChat2VIS: Generating Data Visualisations via Natural Language using ChatGPT, Codex and GPT-3 Large Language Models

24 citations · 27 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2024★ 2 cited

Over the Edge of Chaos? Excess Complexity as a Roadblock to Artificial General Intelligence

Teo Susnjak, Timothy R. McIntosh, Andre L. C. Barczak +4

In this study, we explored the progression trajectories of artificial intelligence (AI) systems through the lens of complexity theory. We challenged the conventional linear and exp…

cs.HC2023★ 1 cited

Chat2VIS: Fine-Tuning Data Visualisations using Multilingual Natural Language Text and Pre-Trained Large Language Models

Paula Maddigan, Teo Susnjak

The explosion of data in recent years is driving individuals to leverage technology to generate insights. Traditional tools bring heavy learning overheads and the requirement for u…

cs.HC2023★ 24 cited

Chat2VIS: Generating Data Visualisations via Natural Language using ChatGPT, Codex and GPT-3 Large Language Models

Paula Maddigan, Teo Susnjak

The field of data visualisation has long aimed to devise solutions for generating visualisations directly from natural language text. Research in Natural Language Interfaces (NLIs)…

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