# huggingface/awesome-papers

Papers & presentation materials from Hugging Face's internal science day

Repository: https://github.com/huggingface/awesome-papers
Canonical: https://ross.abutalabs.com/products/awesome-papers
License Family: other
Last push: 2020-10-31T14:19:22+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2366, "days_push": 2132, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2050, forks 118 (observed 2026-08-28T04:06:09.148991+00:00)

## What it is
A curated collection of NLP research papers and presentation materials from Hugging Face's internal science day discussions. Each entry links to the paper, presenter materials, and community discussion threads.

## Use cases
- find good nlp papers to read
- learn about transformer research like linformer
- study paper discussions from huggingface researchers
- keep up with recent nlp research
- find presentation materials explaining nlp papers

## When to choose
- you want curated, researcher-vetted NLP papers with accessible explanations
- you prefer learning via presentations and community discussions

## When to avoid
- you need up-to-date content - discussions stopped in 2020
- you want papers outside NLP
- you need runnable code rather than reading material

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, nlp
- domain: machine-learning, tutorials, awesome-lists
- platform: -
- tags: papers, research-discussions, presentations, open-science, natural-language-processing, web-server

## Member repositories
- huggingface/awesome-papers (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:09.148991+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:57:36.167395+00:00, confidence not recorded.
  - readme: https://github.com/huggingface/awesome-papers (fetched 2026-08-28T04:06:09.148991+00:00, sha 0ce1f424007c)
- Data as of 2026-08-30T08:39:29.467469+00:00.