Awesome-LLM-hallucination
A Survey on Hallucination in Large Language Models
GraphCanon updated Oct 11, 2026 · GitHub synced Oct 11, 2026
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Decision brief
Awesome-LLM-hallucination stands out as a resource dedicated to the in-depth analysis of hallucination phenomena within Large Language Models (LLMs). Its curated list and categorization make it distinct from other tools,
Good fit when
- - When you need detailed categorizations by causes, detection methods, and mitigation strategies for LLM hallucinations.
- - If your project requires up-to-date insights on the latest research in mitigating hallucination challenges within LLMs.
Avoid when
- - Avoid using this resource for practical, hands-on tools or code that helps mitigate hallucinations directly (it's primarily informative).
- - Do not use if you are looking for real-time diagnostic software for identifying and correcting LLM hallucination mistakes in live applications.
- Requirements:
- The exact language used by the repository is unknown, as no specific programming languages are listed.
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (943d since push)
- As of Oct 11, 2026
- Provenance
- Not a fork · Personal account
- As of Oct 11, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/LuckyyySTA/Awesome-LLM-hallucinationSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Provides a curated list and analysis of hallucination-related papers in the context of LLMs, including categorization by causes, detection, mitigation, challenges, and open questions.
Capability facts
No sourced capability facts yet. Facts appear after ingest scans repo manifests (Dockerfile, package.json, MCP configs).
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Oct 11, 2026)
1. **A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity** `arXiv 2023`Source link
Tags
README
<div align="center" <h2 A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions </h2 </div <div align="center" <b Lei Huang</b <sup 1∗</sup , <b Weijiang Yu</b <sup 2∗</sup , <b Weitao Ma</b <sup 1</sup , <b Weihong Zhong</b <sup 1...
For agents
This page has a .md twin and JSON over the API.