---
title: "Awesome-LLM-hallucination vs Awesome-LLM-in-Social-Science"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/luckyyysta-awesome-llm-hallucination-vs-valuebyte-ai-awesome-llm-in-social-science"
tools: ["luckyyysta-awesome-llm-hallucination", "valuebyte-ai-awesome-llm-in-social-science"]
---

# Awesome-LLM-hallucination vs Awesome-LLM-in-Social-Science

*GraphCanon updated Aug 6, 2026*

## Verdict

Pick Awesome-LLM-hallucination if 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,; pick Awesome-LLM-in-Social-Science if curate research papers on LLM applications in social science, covering topics like alignment, economics, policy, psychology, and more.

[Awesome-LLM-hallucination](https://github.com/LuckyyySTA/Awesome-LLM-hallucination) reports 339 GitHub stars, 25 forks, and 4 open issues, last pushed Mar 11, 2024. [Awesome-LLM-in-Social-Science](https://github.com/ValueByte-AI/Awesome-LLM-in-Social-Science) has 639 stars, 48 forks, and 0 open issues, last pushed Jun 8, 2026. Figures are from public GitHub metadata via [Awesome-LLM-hallucination's repository](https://github.com/LuckyyySTA/Awesome-LLM-hallucination) and [Awesome-LLM-in-Social-Science's repository](https://github.com/ValueByte-AI/Awesome-LLM-in-Social-Science).

| | [Awesome-LLM-hallucination](/tools/luckyyysta-awesome-llm-hallucination.md) | [Awesome-LLM-in-Social-Science](/tools/valuebyte-ai-awesome-llm-in-social-science.md) |
| --- | --- | --- |
| Tagline | A Survey on Hallucination in Large Language Models | Awesome papers involving LLMs in Social Science |
| Stars | 339 | 639 |
| Forks | 25 | 48 |
| Open issues | 4 | 0 |
| Language | - | - |
| Adopt for | 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, | Curate research papers on LLM applications in social science, covering topics like alignment, economics, policy, psychology, and more. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT |
| Categories | Evaluation & Observability | Evaluation & Observability, Model Training |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [Awesome-LLM-hallucination](/tools/luckyyysta-awesome-llm-hallucination.md) | [Awesome-LLM-in-Social-Science](/tools/valuebyte-ai-awesome-llm-in-social-science.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Steady (60%) |
| Days since push | 877d | 49d |
| Open issues (now) | 4 | 0 |
| Owner type | User | Organization |
| Full report | [trust report](/tools/luckyyysta-awesome-llm-hallucination/trust.md) | [trust report](/tools/valuebyte-ai-awesome-llm-in-social-science/trust.md) |

## Decision facts: Awesome-LLM-hallucination

- **Requirements:** The exact language used by the repository is unknown, as no specific programming languages are listed.
- **Adopt for:** 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,
- **License detail:** MIT

## Decision facts: Awesome-LLM-in-Social-Science

- **Adopt for:** Curate research papers on LLM applications in social science, covering topics like alignment, economics, policy, psychology, and more.

## Choose when

### Choose Awesome-LLM-hallucination if…

- Requirements: The exact language used by the repository is unknown, as no specific programming languages are listed..
- Tags unique to Awesome-LLM-hallucination: hallucination, llm, survey.
- - When you need detailed categorizations by causes, detection methods, and mitigation strategies for LLM hallucinations.

### Choose Awesome-LLM-in-Social-Science if…

- Tags unique to Awesome-LLM-in-Social-Science: alignment, economics, llm-agent, llm-evaluation.
- Also covers Model Training.
- Need to explore academic insights into LLM impacts on specific social areas

## When NOT to use Awesome-LLM-hallucination

- - 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.
- - This tool is not suitable as a standalone guide for implementing mitigation techniques within your own large language models; it lacks detailed technical instructions.

## When NOT to use Awesome-LLM-in-Social-Science

- Looking for a hands-on coding or practical implementation guide of LLMs
- In need of real-time data analysis tools for immediate social science research outcomes

## Common questions

### What is the difference between Awesome-LLM-hallucination and Awesome-LLM-in-Social-Science?

Awesome-LLM-hallucination: A Survey on Hallucination in Large Language Models. Awesome-LLM-in-Social-Science: Awesome papers involving LLMs in Social Science. See the comparison table for live GitHub stats and shared categories.

### When should I choose Awesome-LLM-hallucination over Awesome-LLM-in-Social-Science?

Choose Awesome-LLM-hallucination over Awesome-LLM-in-Social-Science when Requirements: The exact language used by the repository is unknown, as no specific programming languages are listed.; Tags unique to Awesome-LLM-hallucination: hallucination, llm, survey; - When you need detailed categorizations by causes, detection methods, and mitigation strategies for LLM hallucinations.

### When should I choose Awesome-LLM-in-Social-Science over Awesome-LLM-hallucination?

Choose Awesome-LLM-in-Social-Science over Awesome-LLM-hallucination when Tags unique to Awesome-LLM-in-Social-Science: alignment, economics, llm-agent, llm-evaluation; Also covers Model Training; Need to explore academic insights into LLM impacts on specific social areas.

### When should I avoid Awesome-LLM-hallucination?

- 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. - This tool is not suitable as a standalone guide for implementing mitigation techniques within your own large language models; it lacks detailed technical instructions.

### When should I avoid Awesome-LLM-in-Social-Science?

Looking for a hands-on coding or practical implementation guide of LLMs In need of real-time data analysis tools for immediate social science research outcomes

### Is Awesome-LLM-hallucination or Awesome-LLM-in-Social-Science more popular on GitHub?

Awesome-LLM-in-Social-Science has more GitHub stars (639 vs 339). Stars measure visibility, not whether either tool fits your constraints.

### Are Awesome-LLM-hallucination and Awesome-LLM-in-Social-Science open source?

Yes - both are open-source projects on GitHub (Awesome-LLM-hallucination: MIT, Awesome-LLM-in-Social-Science: MIT).

### Where can I find alternatives to Awesome-LLM-hallucination or Awesome-LLM-in-Social-Science?

GraphCanon lists graph-backed alternatives at [Awesome-LLM-hallucination alternatives](/tools/luckyyysta-awesome-llm-hallucination/alternatives) and [Awesome-LLM-in-Social-Science alternatives](/tools/valuebyte-ai-awesome-llm-in-social-science/alternatives) ([Awesome-LLM-hallucination markdown twin](/tools/luckyyysta-awesome-llm-hallucination/alternatives.md), [Awesome-LLM-in-Social-Science markdown twin](/tools/valuebyte-ai-awesome-llm-in-social-science/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/luckyyysta-awesome-llm-hallucination-vs-valuebyte-ai-awesome-llm-in-social-science.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, Awesome-LLM-hallucination or Awesome-LLM-in-Social-Science?

Awesome-LLM-hallucination: Dormant. Awesome-LLM-in-Social-Science: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for Awesome-LLM-hallucination and Awesome-LLM-in-Social-Science?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Awesome-LLM-hallucination trust report](/tools/luckyyysta-awesome-llm-hallucination/trust); [Awesome-LLM-in-Social-Science trust report](/tools/valuebyte-ai-awesome-llm-in-social-science/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=luckyyysta-awesome-llm-hallucination`](/api/graphcanon/graph?tool=luckyyysta-awesome-llm-hallucination)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_