thunlp/PromptPapers resource
Must-read papers on prompt-based tuning for pre-trained language models. 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
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
- readme: https://github.com/thunlp/PromptPapers · fetched 2026-08-28 · 79accf773713
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| thunlp/PromptPapers | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="thunlp/PromptPapers")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem