EdinburghNLP/awesome-hallucination-detection resource
List of papers on hallucination detection in LLMs. 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
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
- readme: https://github.com/EdinburghNLP/awesome-hallucination-detection · fetched 2026-08-28 · ec63af4c93ca
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| EdinburghNLP/awesome-hallucination-detection | main | 70 |
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