# NiuTrans/ABigSurvey

A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).

Repository: https://github.com/NiuTrans/ABigSurvey
Canonical: https://ross.abutalabs.com/products/abigsurvey
License: GPL-3.0
License Family: copyleft
Topics: natural-language-processing, machine-learning, deep-learning, neural-networks, paper-list, surveys
Last push: 2024-03-31T12:43:28+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": 2238, "days_push": 885, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2028, forks 245 (observed 2026-08-28T04:06:06.998372+00:00)

## What it is
A curated collection of 1000+ survey papers on Natural Language Processing and Machine Learning, organized by topic following ACL and ICML categorization. It serves as a reference index for researchers looking for comprehensive reviews across NLP and ML subfields.

## Use cases
- find survey papers on NLP topics
- get an overview of machine learning research areas
- locate reviews on large language models
- find reading material for a new research area
- browse categorized academic surveys
- find papers on machine translation or summarization

## When to choose
- you need a broad literature overview of an NLP or ML subfield
- you are starting research in a new area and want survey papers
- you want a categorized list of academic reviews with links

## When to avoid
- you need original research papers rather than surveys
- you need runnable code or software tools
- you need up-to-the-minute papers, as the list is updated periodically

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: machine-learning, deep-learning, tutorials
- platform: cross-platform
- tags: survey-papers, paper-list, academic-resource, llm-surveys, natural-language-processing

## Member repositories
- NiuTrans/ABigSurvey (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:06.998372+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 2026-08-30T02:59:38.978877+00:00, confidence not recorded.
  - readme: https://github.com/NiuTrans/ABigSurvey (fetched 2026-08-28T04:06:06.998372+00:00, sha 0a5218dc21fa)
- Data as of 2026-08-30T08:39:29.467469+00:00.