Methods › Natural Language Processing › Document Summary Evaluation › BLANC

BLANC

7 papers tagged archive 2025-07-28

Introduced by Oleg Vasilyev et al. in Fill in the BLANC: Human-free quality estimation of document summaries

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

BLANC is an automatic estimation approach for document summary quality. The goal is to measure the functional performance of a summary with an objective, reproducible, and fully automated method. BLANC achieves this by measuring the performance boost gained by a pre-trained language model with access to a document summary while carrying out its language understanding task on the document's text.

PaperSource

Papers archive 2025-07-28

7 shown of 7, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

13 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Language Modeling3
Language Modelling3
Diversity1
Document Summarization1
Extractive Summarization1
Fairness1
Informativeness1
Multi-Document Summarization1
Multi-Task Learning1
Prediction1
Question Answering1
Reading Comprehension1
Sensitivity1

Usage over time archive 2025-07-28

Papers per year tagged with BLANC: 2020 to 2024, peak 4 4 0 2020: 4 papers 2020 2021: 2 papers 2021 2022: 0 papers 2022 2023: 0 papers 2023 2024: 1 paper 2024
Papers per year the archive tags with this method, by the paper's archive date (7 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Document Summary Evaluation

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections