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Syrine Krichene

Syrine Krichene has 3 papers in our library, in 2020–2023, most of them on Language models & pretraining, Question answering, Reasoning; often with Julian Eisenschlos, Thomas Müller, Chenxi Pang.

3 papers in our library · 2020–2023

OpenAlex · h-index 10 · 25 works · 408 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 181 times in our library · ⭐ Paper Stars ranking: #3697

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

🏢GoogleMountain View · United States2019–2024 · 13 paperscurrent🏢Google DeepMindLondon · United Kingdom2021–2024 · 9 paperscurrent🎓University of CambridgeCambridge · United Kingdom2022–2023 · 4 papers🏢GoogleZurich · Switzerland2020–2022 · 3 papers🏢CriteoParis · France2019 · 2 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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksComputer Vision and Pattern Recognition · 3 worksLanguage and Linguistics · 3 worksInformation Systems · 1 work

🧭 Topics 5Research subjects and languages the work is about.Language models & pretraining · 1 workInformation retrieval & search · 1 workQuestion answering · 1 workReasoning · 1 workVision & language · 1 work

 Works by year

2020s

20231 paperDePlot: One-shot visual language reasoning by plot-to-table translation20211 paperOpen Domain Question Answering over Tables via Dense Retrieval20201 paperUnderstanding tables with intermediate pre-training

 Papers

The most cited first (OpenAlex and our library).

  1. Understanding tables with intermediate pre-training (2020 · 158 citations)
    Table entailment means deciding whether a sentence is supported or contradicted by a table. It requires understanding language and table layout together, plus numeric and discrete operations such as comparisons and aggregations. On TabFact, models still trail humans by a wide margin. The authors convert TAPAS, a…
  2. Open Domain Question Answering over Tables via Dense Retrieval (2021 · 133 citations)
    Most table QA systems assume the correct table is already provided. Real search engines and assistants, however, must first locate the relevant table in a large collection. This paper is the first to address open-domain QA over tables. It uses a two-stage pipeline: a dense retriever picks candidate tables, and a…
  3. DePlot: One-shot visual language reasoning by plot-to-table translation (2023 · 121 citations)
    Answering questions about charts and plots requires both precise extraction of the underlying values and multi-step numerical reasoning.

 Co-authors here

11 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 181 times (of the 141,840 papers whose bibliographies we read); 13 citing papers with a page here →.

Updated

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