Ross ROSS = Recommend OSS · open-source software intelligence for agents

thunlp/PromptPapers resource

Must-read papers on prompt-based tuning for pre-trained language models. observed · 2026-08-28

github.com/thunlp/PromptPapers 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: 1915
  • days_rel: n/a
  • days_push: 1143
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

4326 stars · 387 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated must-read paper list on prompt-based tuning for pre-trained language models, maintained by THUNLP. It organizes research papers into categories like overview, basics, analysis, improvements, and specializations.

Use cases

  • find must-read papers on prompt-based tuning
  • learn about prompt learning for pre-trained language models
  • survey research on prompt tuning and prompt engineering
  • get started with prompt-based fine-tuning research
  • track the latest papers on prompt learning

When to choose

  • you need a curated reading list on prompt learning research
  • you are a researcher surveying prompt-based tuning methods
  • you want paper recommendations organized by topic and contribution

When to avoid

  • you need runnable code or a software toolkit (use OpenPrompt instead)
  • you need a comprehensive database of all NLP papers rather than a curated selection
  • you need up-to-date coverage after 2023

Facets

learning-resource · maturity maintenance

nlp machine-learning large-language-models tutorials awesome-list papers prompt-learning prompt-tuning pre-trained-language-models curated-list natural-language-processing

1 source

Member repositories

RepositoryRoleHealth v2
thunlp/PromptPapersmain32

For agents

markdown · JSON · MCP: product_card(name="thunlp/PromptPapers")

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