# HillZhang1999/llm-hallucination-survey

Reading list of hallucination in LLMs. Check out our new survey paper: "Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models"

Repository: https://github.com/HillZhang1999/llm-hallucination-survey
Canonical: https://ross.abutalabs.com/products/llm-hallucination-survey
Homepage: https://arxiv.org/abs/2309.01219
License Family: other
Topics: awesome-list, large-language-models, reading-list
Last push: 2025-09-27T13:49:22+00:00

## Health v2 (maintenance only)
Score: 48/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 44, release rhythm 35, longevity 82
- inputs: {"age_days": 1150, "days_push": 340, "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 1085, forks 57 (observed 2026-08-28T04:03:31.682795+00:00)

## What it is
A curated reading list of research papers on hallucination in large language models, organized by evaluation, sources, and mitigation. It accompanies the survey paper 'Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models'.

## Use cases
- find papers on LLM hallucination detection
- survey methods for mitigating hallucinations in language models
- learn about hallucination taxonomies and benchmarks
- research reading list for hallucination in NLG tasks
- find hallucination evaluation benchmarks for LLMs
- study causes of fact-conflicting model outputs

## When to avoid
- you need runnable software or code for hallucination detection
- you want a tool to automatically measure hallucinations in production

## Facets
- artifact type: learning-resource
- maturity: active
- function: nlp, documentation
- domain: large-language-models, artificial-intelligence, tutorials
- platform: cross-platform
- tags: awesome-list, reading-list, hallucination, survey-paper, llm-evaluation, research, natural-language-processing

## Member repositories
- HillZhang1999/llm-hallucination-survey (main) score 48

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:31.682795+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 2026-08-30T06:49:41.017432+00:00, confidence not recorded.
  - readme: https://github.com/HillZhang1999/llm-hallucination-survey (fetched 2026-08-28T04:03:31.682795+00:00, sha 6a047b4364c2)
  - homepage: https://arxiv.org/abs/2309.01219 (fetched 2026-08-29T12:52:47.067659+00:00, sha 7bbec6c3b6c3)
  - site_page: https://info.arxiv.org/about/donate.html (fetched 2026-08-29T12:52:47.077041+00:00, sha cca9c3a11c56)
  - site_page: https://info.arxiv.org/about/ourmembers.html (fetched 2026-08-29T12:52:47.081367+00:00, sha 47cbc55ff1de)
  - site_page: https://info.arxiv.org/about (fetched 2026-08-29T12:52:47.083261+00:00, sha a1f16f915a9a)
  - site_page: https://info.arxiv.org/labs/index.html (fetched 2026-08-29T12:52:47.079558+00:00, sha b14a8d05a0ec)
- Data as of 2026-08-30T08:39:29.467469+00:00.