--- title: "Leonhard Hennig — author profile and papers" description: "Leonhard Hennig, German Research Centre for Artificial Intelligence: 2 papers on Elamur Research (2020–2025), h-index 15 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/leonhard-hennig/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/leonhard-hennig/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Leonhard Hennig # Leonhard Hennig 2 papers on this site · 2020–2025 current affiliation [German Research Centre for Artificial Intelligence](https://md.research.elamur.ai/free/en/labs/german-research-centre-for-artificial-intelligence/), Kaiserslautern, Germany Leonhard Hennig has 2 papers on this site, in 2020–2025, most of them on [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/), [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/), [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/); often with [Josef van Genabith](https://md.research.elamur.ai/free/en/authors/josef-van-genabith/), [Sebastian Möller](https://md.research.elamur.ai/free/en/authors/sebastian-moller/), [Simon Ostermann](https://md.research.elamur.ai/free/en/authors/simon-ostermann/). [OpenAlex](https://openalex.org/A5070094187) · [ORCID](https://orcid.org/0000-0002-9594-2011) · [**h-index 15**](https://openalex.org/authors/A5070094187) · [86 works](https://openalex.org/works?filter=author.id:A5070094187) · [923 citations](https://openalex.org/works?filter=author.id:A5070094187&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [2 works on this site](https://md.research.elamur.ai/free/en/authors/leonhard-hennig/#papers) · [90 citations in our library](https://md.research.elamur.ai/free/en/authors/leonhard-hennig/cited-by/) · 4 more works in our library 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=Leonhard+Hennig) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Leonhard+Hennig) · [dblp](https://dblp.org/search?q=Leonhard+Hennig) · [ACL Anthology](https://aclanthology.org/search/?q=Leonhard+Hennig) ## Affiliations - [German Research Centre for Artificial Intelligence](https://md.research.elamur.ai/free/en/labs/german-research-centre-for-artificial-intelligence/) · Kaiserslautern, Germany —current · 2015–2026 on 43 papers - [Technische Universität Berlin](https://md.research.elamur.ai/free/en/universities/technische-universitat-berlin/) · Berlin, Germany —2008–2012 on 8 papers From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Topics [Coreference resolution 1](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Information extraction 1](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Interpretability 1](https://md.research.elamur.ai/free/en/topics/interpretability/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/papers/anikina-2025-reverse-probing-evaluating-knowledge-transfer/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/papers/alt-2020-tacred-revisited-thorough-evaluation-tacred/) ## Papers The most cited first (OpenAlex and our library). 1. **[TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task](https://md.research.elamur.ai/free/en/papers/alt-2020-tacred-revisited-thorough-evaluation-tacred/)** *(2020 · 212 citations)* TACRED is a large, widely used crowdsourced benchmark for Relation Extraction (RE). Even the strongest pre-trained models still get roughly 30% of it wrong. The authors ask whether this reflects a true performance ceiling, or whether noisy crowd labels and dataset properties are to blame. They ranked development and… 2. **[Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/anikina-2025-reverse-probing-evaluating-knowledge-transfer/)** *(2025)* The authors invert the classic probing setup. Usually, the representations of a model trained on a complex task are tested on several simple ones. Here it is the other way around: embeddings are taken from several models fine-tuned on simpler tasks, and the authors examine how useful they are for a single complex… ## Also in our library 4 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## Co-authors here 4 co-authors with a page, the most papers together first. - [Josef van Genabith](https://md.research.elamur.ai/free/en/authors/josef-van-genabith/) - [Sebastian Möller](https://md.research.elamur.ai/free/en/authors/sebastian-moller/) - [Simon Ostermann](https://md.research.elamur.ai/free/en/authors/simon-ostermann/) - [Tatiana Anikina](https://md.research.elamur.ai/free/en/authors/tatiana-anikina/) ## Cited by Papers of our library cite their works 90 times (of the 140 884 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/leonhard-hennig/cited-by/).