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# Alexander Koller

2 paper cards in Mova's library · 2017–2026

Alexander Koller wrote 2 of the papers Mova reads, in 2017–2026, most of them on [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/); often with [Christoph Teichmann](https://md.mova.elamur.ai/free/en/docs/papers/authors/christoph-teichmann/), Ji-Ung Lee, Johannes Gontrum.

[OpenAlex](https://openalex.org/A5088112892) · [ORCID](https://orcid.org/0000-0002-5317-6689) · [**h-index 28**](https://openalex.org/authors/A5088112892) · [3304 citations](https://openalex.org/authors/A5088112892) · [239 works](https://openalex.org/works?filter=author.id:A5088112892) — openalex, 2026-10-18

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Alexander+Koller) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Alexander+Koller) · [dblp](https://dblp.org/search?q=Alexander+Koller) · [ACL Anthology](https://aclanthology.org/search/?q=Alexander+Koller) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Alexander+Koller)

Topics: [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/) 2

## Papers

1. **[AuthorMix: Modular Authorship Style Transfer via Layer-wise Adapter Mixing](https://md.mova.elamur.ai/free/en/docs/papers/thillainathan-2026-authormix-modular-authorship-style-transfer/)** *(2026)* AuthorMix trains one LoRA adapter for each of about ten high-resource authors. For a new low-resource target, it mixes these adapters with scalar weights, learned per layer with reinforcement learning (GRPO), using the joint style and meaning score of a few target examples as reward. The base model and adapters stay…
2. **[Alto: Rapid Prototyping for Parsing and Translation](https://md.mova.elamur.ai/free/en/docs/papers/gontrum-2017-alto-rapid-prototyping-parsing-translation/)** *(2017)* Alto is an open-source toolkit for grammar formalisms. It is built on Interpreted Regular Tree Grammars (IRTGs). A regular tree grammar produces derivation trees, and each interpretation maps a derivation tree through a homomorphism into a term over an algebra, such as strings or graphs. The same derivation can…

## Co-authors (6)

- [Christoph Teichmann](https://md.mova.elamur.ai/free/en/docs/papers/authors/christoph-teichmann/)
- Ji-Ung Lee
- Johannes Gontrum
- Jonas Groschwitz
- Michael Sullivan
- Sarubi Thillainathan
- [← previous Alexander Andrason](https://md.mova.elamur.ai/free/en/docs/papers/authors/alexander-andrason/)
- [next → Alexander O'Connor](https://md.mova.elamur.ai/free/en/docs/papers/authors/alexander-o-connor/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)