--- title: "Alexander Koller — papers and cards" description: "Alexander Koller: 2 paper cards in the Research library (2017–2026), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/alexander-koller/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/alexander-koller/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Alexander Koller # Alexander Koller 2 paper cards in the Research library · 2017–2026 Alexander Koller wrote 2 of the papers Mova reads, in 2017–2026, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with [Christoph Teichmann](https://md.research.elamur.ai/free/en/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) · [3224 citations](https://openalex.org/authors/A5088112892) · [170 works](https://openalex.org/works?filter=author.id:A5088112892) — openalex-snapshot, 2026-10-14 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.research.elamur.ai/free/en/topics/machine-translation/) 2 ## Papers 1. **[AuthorMix: Modular Authorship Style Transfer via Layer-wise Adapter Mixing](https://md.research.elamur.ai/free/en/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.research.elamur.ai/free/en/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.research.elamur.ai/free/en/authors/christoph-teichmann/) - Ji-Ung Lee - Johannes Gontrum - Jonas Groschwitz - Michael Sullivan - Sarubi Thillainathan ## More papers in the library (2) Pages of the Research library: our summary, the ideas, references and who cites each. - [LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks](https://md.research.elamur.ai/free/en/papers/bavaresco-2024-llms-instead-human-judges-large/) — Anna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi, et al. · 2024 - [Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data](https://md.research.elamur.ai/free/en/papers/bender-2020-climbing-nlu-meaning-form-understanding/) — Emily M. Bender, Alexander Koller · 2020