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researcher

Jakob Lindner

2 papers hereh-index 249 citations2 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.AI1
  • cs.CL1

identity via Semantic Scholar / OpenAlex

most citedOne Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2024

Question: How do Large Language Models perform on the Question Answering tasks? Answer:

Kevin Fischer, Darren Fürst, Sebastian Steindl +2

Large Language Models (LLMs) have been showing promising results for various NLP-tasks without the explicit need to be trained for these tasks by using few-shot or zero-shot prompt…

cs.AI2022★ 1 cited

One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction

Jan Tönshoff, Berke Kisin, Jakob Lindner +1

We propose a universal Graph Neural Network architecture which can be trained as an end-2-end search heuristic for any Constraint Satisfaction Problem (CSP). Our architecture can b…

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