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Łukasz Borchmann

Applica.ai

13 papers hereh-index 8521 citations22 works total

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

author position
  • first author3
  • middle author10

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CL9
  • cs.LG2
  • cs.CV1
  • cs.DS1
affiliations
  • Applica.ai

identity via Semantic Scholar / OpenAlex

activity
20192024
most citedSTable: Table Generation Framework for Encoder-Decoder Models

4 citations · 7 across the 10 of their papers we have counts for

collaborators
Showing 2024 · cs.CLShow all

2 papers · 2 filters

cs.CL2024

Can Models Help Us Create Better Models? Evaluating LLMs as Data Scientists

Michał Pietruszka, Łukasz Borchmann, Aleksander Jędrosz +1

We present a benchmark for large language models designed to tackle one of the most knowledge-intensive tasks in data science: writing feature engineering code, which requires doma…

cs.CL2024

Arctic-TILT. Business Document Understanding at Sub-Billion Scale

Łukasz Borchmann, Michał Pietruszka, Wojciech Jaśkowski +13

The vast portion of workloads employing LLMs involves answering questions grounded on PDF or scan content. We introduce the Arctic-TILT achieving accuracy on par with models 1000$\…

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