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Elena Kochkina

Elena Kochkina has 3 papers in our library, in 2019–2026, most of them on Reasoning; often with Charese Smiley, Jabez Magomere, Samuel Mensah.

3 papers in our library · 2019–2026

OpenAlex · ORCID · h-index 13 · 48 works · 908 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 73 times in our library · ⭐ Paper Stars ranking: #5605

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

🏢JPMorgan Chase & CoNew York · United States2025–2026 · 8 paperscurrent🎓Queen Mary University of LondonLondon · United Kingdom2021–2024 · 18 papersEmployment 2021–2023 · PDRA, EECS🔬The Alan Turing InstituteLondon · United Kingdom2017–2023 · 18 papers🎓University of WarwickCoventry · United Kingdom2015–2022 · 11 papersEducation 2015–2020 · PhD, Computer ScienceEmployment 2019–2020 · Research Fellow, Computer Science

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.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksSocial Sciences · 2 worksArtificial Intelligence · 3 worksSociology and Political Science · 2 worksInformation Systems · 1 workArts and Humanities · 2 worksLanguage and Linguistics · 2 works

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

 Works by year

2020s

20261 paper20251 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for Rumours (2019 · 290 citations)
    RumourEval 2019 is the second edition of a SemEval shared task on automatically assessing rumours on social media.
  2. FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking (2025 · 3 citations)
    Natural language inference has had little attention in financial NLP. Without a dedicated benchmark, nobody could measure how well general or finance-tuned models judge whether one financial statement follows from, contradicts, or is unrelated to another. The authors built FinNLI to fill this gap.
  3. Distill and Align Decomposition for Enhanced Claim Verification (2026)
    The paper tackles a weak spot in decompose-then-verify fact-checking of long LLM outputs. The step that splits sentences into subclaims is usually tuned separately from the verifier. It can therefore produce claims that are too fragmented, too coarse, or missing context for the verifier to judge well. The authors…

 Co-authors here

12 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 73 times (of the 149,439 papers whose bibliographies we read); 19 citing papers with a page here →.

Updated

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