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researcher

Samuel Laubli

3 papers hereh-index 233 citations3 works total

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

author position
  • first author1
  • last author1

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL3

identity via Semantic Scholar / OpenAlex

activity
20202025
most citedExploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model

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

collaborators

3 papers

cs.CL2025

A comparison of translation performance between DeepL and Supertext

Alex Flückiger, Chantal Amrhein, Tim Graf +5

As strong machine translation (MT) systems are increasingly based on large language models (LLMs), reliable quality benchmarking requires methods that capture their ability to leve…

cs.CL2023★ 2 cited

Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model

Chantal Amrhein, Florian Schottmann, Rico Sennrich +1

Natural language generation models reproduce and often amplify the biases present in their training data. Previous research explored using sequence-to-sequence rewriting models to…

cs.CL2020

The Impact of Text Presentation on Translator Performance

Samuel Läubli, Patrick Simianer, Joern Wuebker +3

Widely used computer-aided translation (CAT) tools divide documents into segments such as sentences and arrange them in a side-by-side, spreadsheet-like view. We present the first…

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