# xcfcode/Summarization-Papers

Summarization Papers

Repository: https://github.com/xcfcode/Summarization-Papers
Canonical: https://ross.abutalabs.com/products/summarization-papers
Language: TeX
License Family: other
Topics: nlp, summarization, text-generation, natural-language-processing, chatgpt, pretrained-language-model
Archived: true
Last push: 2023-07-15T09:34:29+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2149, "days_push": 1145, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1006, forks 145 (observed 2026-08-28T04:03:12.165224+00:00)

## What it is
A curated collection of research papers, slides, and blog notes on text summarization in NLP, organized with a learning route. It covers topics like dialogue, cross-lingual, and multi-modal summarization.

## Use cases
- find papers on text summarization
- learn about dialogue summarization research
- get a learning route for NLP summarization
- track recent summarization papers
- find slides on cross-lingual summarization
- study multi-modal summarization

## When to choose
- you are a researcher or student surveying summarization literature
- you want a structured learning path into text summarization
- you need curated paper lists with presentations and notes

## When to avoid
- you need runnable summarization code or models
- you want a maintained software library
- you need non-summarization NLP topics

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: nlp, documentation
- domain: tutorials, awesome-lists
- platform: -
- tags: text-summarization, paper-list, academic-papers, chatgpt, pretrained-language-models, natural-language-processing, web-server

## Member repositories
- xcfcode/Summarization-Papers (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:12.165224+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 2026-08-30T07:12:59.261046+00:00, confidence not recorded.
  - readme: https://github.com/xcfcode/Summarization-Papers (fetched 2026-08-28T04:03:12.165224+00:00, sha abae706a5a2f)
- Data as of 2026-08-30T08:39:29.467469+00:00.