Elamur Research⌕
☰
home / authors / Nils Feldhus

Nils Feldhus

Nils Feldhus has 4 papers in our library, in 2023–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Reasoning; often with Vera Schmitt, Hinrich Schuetze, Qianli Wang.

4 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 9 · 79 works · 230 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 71 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #6807

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

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.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Inseq: An Interpretability Toolkit for Sequence Generation Models (2023 · 97 citations)
    Most feature attribution research and tooling in NLP targets classification, where each input token gets a single importance score.
  2. Persona Prompting as a Lens on LLM Social Reasoning (2026 · 2 citations)
    The paper asks whether persona prompting (PP), where an LLM is told to answer as someone with given demographic traits, changes the word-level rationales it gives along with its labels, and whether those simulated viewpoints match real human annotators.
  3. Through a Compressed Lens: Investigating The Impact of Quantization on Factual Knowledge Recall (2026 · 2 citations)
    The paper asks how post-training weight quantization affects factual knowledge recall (FKR), meaning an LLM's ability to retrieve facts stored during pretraining.
  4. Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation (2026)
    Counterfactual explanations are small edits to an input that flip a classifier's prediction. LLMs produce them well in English, but their quality in other languages had not been studied. To examine this, the authors evaluate three open instruction-tuned LLMs on XNLI and SIB200, two multilingual classification…

All works

6 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. German Voter Personas Can Radicalize LLM Chatbots via the Echo Chamber Effect ↗Proceedings of the 17th International Natural Language Generation Conference · no summary yetMaximilian Bleick et al.2024 · 5 citations
  2. Evaluating German Transformer Language Models with Syntactic Agreement Tests ↗arXiv:2007.03765 · Proceedings of the 5th Swiss Text Analytics Conference and the 16th Conference on Natural Language Processing, SwissText/KONVENS 2020, Zurich, Switzerland, June 23-25, 2020 [online only]. CEUR Workshop Proceedings 2624 · no summary yetKarolina Zaczynska et al.2020 · 5 citations

 Co-authors here

12 of 15 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 71 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/nils-feldhus/