Pith. sign in

REVIEW 1 cited by

FuLG: 150B Romanian Corpus for Language Model Pretraining

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2407.13657 v1 pith:WHSFZROQ submitted 2024-07-18 cs.CL

Vlad-Andrei Bădoiu , Mihai-Valentin Dumitru , Alexandru M. Gherghescu , Alexandru Agache , Costin Raiciu This is my paper · ORCID
classification cs.CL
keywords fulgromaniancorporacorpuslanguagemanymodelspretraining
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Research in the field of language models is rapidly evolving, with many open models being released to the public. Openly available pretraining corpora usually focus on only a handful of languages, with many others either missing completely or extremely underrepresented. In this report, we introduce FuLG, a hundred-fifty-billion-token Romanian corpus extracted from CommonCrawl. We present our methodology for filtering FuLG and compare it via ablation studies against existing Romanian corpora.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. LLMic: Romanian Foundation Language Model

    cs.CL 2025-01 reject novelty 5.0 of 10

    LLMic, a 3B Romanian-English model with a diacritic-free tokenizer, reports higher WMT English-to-Romanian translation scores than larger open models, though the evaluation setup is biased.

Pith tools