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tomohideshibata/BERT-related-papers resource

BERT-related papers observed · 2026-08-28

github.com/tomohideshibata/BERT-related-papers observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2639
  • days_rel: n/a
  • days_push: 1117
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2032 stars · 277 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated list of research papers related to BERT and transformer-based language models, organized by topic such as surveys, downstream tasks, model compression, and multilingual models. It serves as a reading resource for NLP researchers and practitioners rather than usable software.

Use cases

  • find papers about BERT and pretrained language models
  • survey transformer model variants for NLP research
  • find literature on model compression and distillation of language models
  • look up papers on multilingual and domain-specific BERT models
  • find RLHF and large language model research papers
  • get started reading about transfer learning in NLP

When to choose

  • you need a curated, categorized reading list of BERT/transformer papers
  • you are doing a literature review on pretrained language models
  • you want paper links organized by NLP subtopic

Facets

learning-resource · maturity maintenance

documentation large-language-models deep-learning tutorials cross-platform awesome-list papers bert transformers research-papers curated-list natural-language-processing

1 source

Member repositories

RepositoryRoleHealth v2
tomohideshibata/BERT-related-papersmain32

For agents

markdown · JSON · MCP: product_card(name="tomohideshibata/BERT-related-papers")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem