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researcher

Benjamin Piwowarski

CNRS

36 papers hereh-index 325.1k citations219 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author4
  • middle author24
  • last author6

Across the 36 of 36 papers where every author was matched, so the position is known.

fields
  • cs.IR16
  • cs.CL14
  • cs.CV3
  • cs.DB1
  • cs.LG1
  • cs.MS1
affiliations
  • CNRS
  • Sorbonne Université
Homepage
same name
  • Benjamin Piwowarski — 8 papers, h 1
  • Benjamin Piwowarski — 6 papers, h 2
  • Benjamin Piwowarski — 5 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20092024
most citedQuestEval: Summarization Asks for Fact-based Evaluation

25 citations · 133 across the 34 of their papers we have counts for

collaborators
Showing 2021 · cs.CLShow all

4 papers · 2 filters

cs.CL2021

Skim-Attention: Learning to Focus via Document Layout

Laura Nguyen, Thomas Scialom, Jacopo Staiano +1

Transformer-based pre-training techniques of text and layout have proven effective in a number of document understanding tasks. Despite this success, multimodal pre-training models…

cs.CL2021★ 1 cited

To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs

Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier +2

Due to the discrete nature of words, language GANs require to be optimized from rewards provided by discriminator networks, via reinforcement learning methods. This is a much harde…

cs.CL2021★ 25 cited

QuestEval: Summarization Asks for Fact-based Evaluation

Thomas Scialom, Paul-Alexis Dray, Patrick Gallinari +4

Summarization evaluation remains an open research problem: current metrics such as ROUGE are known to be limited and to correlate poorly with human judgments. To alleviate this iss…

cs.CL2021

Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation

Clément Rebuffel, Thomas Scialom, Laure Soulier +5

QuestEval is a reference-less metric used in text-to-text tasks, that compares the generated summaries directly to the source text, by automatically asking and answering questions.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.