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EdinburghNLP/awesome-hallucination-detection resource

List of papers on hallucination detection in LLMs. observed · 2026-08-28

github.com/EdinburghNLP/awesome-hallucination-detection · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

70/100

  • Activity 94
  • Release rhythm 35
  • Longevity 77

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1083
  • days_rel: n/a
  • days_push: 40
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1125 stars · 91 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of papers on hallucination detection in large language models, with summaries of metrics, datasets, and methods. It serves as a research reference rather than executable software.

Use cases

  • find papers on detecting llm hallucinations
  • survey hallucination detection benchmarks and datasets
  • research factuality evaluation methods for llms
  • keep up with new hallucination research
  • find baselines for a hallucination detection paper

When to choose

  • you need a literature survey of LLM hallucination detection
  • you are starting research on factuality or hallucination evaluation
  • you want curated paper summaries with metrics and datasets

When to avoid

  • you need runnable detection software or a library
  • you want a benchmark dataset rather than a paper list

Facets

learning-resource · maturity active

nlp llm-inference documentation large-language-models artificial-intelligence awesome-lists awesome-list hallucination-detection papers research llm-evaluation natural-language-processing web-server

1 source

Member repositories

RepositoryRoleHealth v2
EdinburghNLP/awesome-hallucination-detectionmain70

For agents

markdown · JSON · MCP: product_card(name="EdinburghNLP/awesome-hallucination-detection")

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