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Markus Leippold

Markus Leippold has 4 papers in our library, in 2020–2026, most of them on Reasoning, Discourse analysis, Language models & pretraining; often with Artem Shelmanov, Ekaterina Fadeeva, Janet Pierrehumbert.

4 papers in our library · 2020–2026

OpenAlex · ORCID · Wikidata · h-index 36 · 253 works · 5,462 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 188 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6059

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.

 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. CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims (2020 · 158 citations)
    Automated fact-checking research has relied heavily on FEVER, whose claims were written by annotators and are short and simple.
  2. AI for Climate Finance: Agentic Retrieval and Multi-Step Reasoning for Early Warning System Investments (2026 · 2 citations)
    Climate-finance reports from Multilateral Development Banks (MDBs) and climate funds rarely label spending on Early Warning Systems (EWS) consistently. They arrive as messy PDFs with complex tables, which makes it hard to track progress toward the UN Early Warnings for All (EW4All) goal of universal coverage by 2027.
  3. ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models (2026 · 1 citation)
    Test-time scaling improves LLM reasoning by sampling several candidate reasoning steps or full chains and keeping the most promising ones.
  4. Actors, Frames and Arguments: A Multi-Decade Computational Analysis of Climate Discourse in Financial News using Large Language Models (2026)
    The paper looks at how elite financial journalism has covered climate change over time. This area matters because such coverage can influence investment and policy, yet it has received far less study than general news. The authors built the Dow Jones Climate News Corpus from Dow Jones Newswire articles published…

All works

5 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. CLIMATE-FEVER: A Dataset for Verification of Real-World Climate ClaimsarXiv:2012.00614Thomas Diggelmann, Jordan Boyd-Graber, Jannis Bulian, et al.2020 · 158 citations
  2. LEXam: Benchmarking Legal Reasoning on 340 Law Exams ↗arXiv:2505.12864 · no summary yetYu Fan et al.2025 · 50 citations

 Co-authors here

12 of 13 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 188 times (of the 149,439 papers whose bibliographies we read); 33 citing papers with a page here →.

Updated

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