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Aikaterini-lida Kalouli

Aikaterini-lida Kalouli has 2 papers in our library, in 2021–2023, most of them on Reasoning; often with Christina Niklaus, Martha Palmer, Reto Gubelmann.

2 papers in our library · 2021–2023

OpenAlex · h-index 9 · 24 works · 175 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 16 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5710

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

🎓Ludwig-Maximilians-Universität MünchenMunich · Germany2021–2023 · 5 paperscurrent🏢BundesdruckereiBerlin · Germany2023 · 1 papercurrent🎓University of KonstanzKonstanz · Germany2018–2021 · 12 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 2 works

 Works by year

2020s

20231 paperWhen Truth Matters - Addressing Pragmatic Categories in Natural Language Inference (NLI) by Large Language Models (LLMs)20211 paperAnnotation Difficulties in Natural Language Inference

 Papers

The most cited first (OpenAlex and our library).

  1. When Truth Matters - Addressing Pragmatic Categories in Natural Language Inference (NLI) by Large Language Models (LLMs) (2023 · 15 citations)
    The paper argues that logical inference only applies to genuine claims. Questions, commands and incomplete fragments assert nothing that could be true or false, so no hypothesis can follow from them or contradict them. The authors give two conditions for a premise to express a determinate claim: it must have…
  2. Annotation Difficulties in Natural Language Inference (2021 · 5 citations)
    Modern models score very well on popular NLI benchmarks, yet they generalize poorly and ignore the fact that people often disagree about inference labels.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. When Truth Matters - Addressing Pragmatic Categories in Natural Language Inference (NLI) by Large Language Models (LLMs)Joint Conference on Lexical and Computational Semantics (*SEM)Reto Gubelmann, Aikaterini-lida Kalouli, Christina Niklaus, et al.2023 · 15 citations
  2. Curing the SICK and Other NLI MaladiesComputational Linguistics · original ↗ · no summary yetAikaterini-Lida Kalouli et al.2023 · 14 citations
  3. Annotation Difficulties in Natural Language InferenceBrazilian Symposium in Information and Human Language TechnologyAikaterini-Lida Kalouli, Livy Real, Annebeth Buis, et al.2021 · 5 citations

 Co-authors here

5 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 16 times (of the 141,840 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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