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Christopher Akiki

Leipzig University

5 papers hereh-index 125.2k citations25 works total

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

author position
  • first author3
  • middle author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CY1
affiliations
  • Leipzig University
Homepage
same name
  • Christopher Akiki — 5 papers
  • Christopher Akiki — 1 paper, h 3

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

activity
20212025
most citedBigScience: A Case Study in the Social Construction of a Multilingual Large Language Model

8 citations · 9 across the 5 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2025

The German Commons - 154 Billion Tokens of Openly Licensed Text for German Language Models

Lukas Gienapp, Christopher Schröder, Stefan Schweter +5

Large language model development relies on large-scale training corpora, yet most contain data of unclear licensing status, limiting the development of truly open models. This prob…

cs.CL2022

Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0

Francesco De Toni, Christopher Akiki, Javier de la Rosa +4

In this work, we explore whether the recently demonstrated zero-shot abilities of the T0 model extend to Named Entity Recognition for out-of-distribution languages and time periods…

cs.CL2022★ 1 cited

Tracking Discourse Influence in Darknet Forums

Christopher Akiki, Lukas Gienapp, Martin Potthast

This technical report documents our efforts in addressing the tasks set forth by the 2021 AMoC (Advanced Modelling of Cyber Criminal Careers) Hackathon. Our main contribution is a…

cs.CL2021

BERTian Poetics: Constrained Composition with Masked LMs

Christopher Akiki, Martin Potthast

Masked language models have recently been interpreted as energy-based sequence models that can be generated from using a Metropolis--Hastings sampler. This short paper demonstrates…

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