Home/Compare/Awesome-LLM-hallucination vs Awesome-LLM-in-Social-Science

Comparison

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

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.

Markdown twin · Awesome-LLM-hallucination alternatives · Awesome-LLM-in-Social-Science alternatives

GraphCanon updated 1w

Awesome-LLM-hallucination logo

Awesome-LLM-hallucination

LuckyyySTA/Awesome-LLM-hallucination

339pushed Mar 11, 2024
vs
Awesome-LLM-in-Social-Science logo

Awesome-LLM-in-Social-Science

ValueByte-AI/Awesome-LLM-in-Social-Science

639pushed Jun 8, 2026

Trust & integrity

SignalAwesome-LLM-hallucinationAwesome-LLM-in-Social-Science
Maintenance
Dormant (877d since push)
As of 1w · github_public_v1
Steady (49d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Personal account
As of 1w · github_public_v1
Not a fork · Organization account
As of 3w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

Awesome-LLM-hallucination
A Survey on Hallucination in Large Language Models
Awesome-LLM-in-Social-Science
Awesome papers involving LLMs in Social Science

Stars

Awesome-LLM-hallucination
339
Awesome-LLM-in-Social-Science
639

Forks

Awesome-LLM-hallucination
25
Awesome-LLM-in-Social-Science
48

Open issues

Awesome-LLM-hallucination
4
Awesome-LLM-in-Social-Science
0

Language

Awesome-LLM-hallucination
-
Awesome-LLM-in-Social-Science
-

Adopt for

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

Persona

Awesome-LLM-hallucination
-
Awesome-LLM-in-Social-Science
-

Runtime

Awesome-LLM-hallucination
-
Awesome-LLM-in-Social-Science
-

License

Awesome-LLM-hallucination
MIT
Awesome-LLM-in-Social-Science
MIT

Last pushed

Awesome-LLM-hallucination
Mar 11, 2024
Awesome-LLM-in-Social-Science
Jun 8, 2026

Categories

Awesome-LLM-hallucination
Evaluation & Observability
Awesome-LLM-in-Social-Science
Evaluation & Observability, Model Training

Trust and health

Maintenance

Awesome-LLM-hallucination
Dormant (18%)
Awesome-LLM-in-Social-Science
Steady (60%)

Days since push

Awesome-LLM-hallucination
877d
Awesome-LLM-in-Social-Science
49d

Open issues (now)

Awesome-LLM-hallucination
4
Awesome-LLM-in-Social-Science
0

Owner type

Awesome-LLM-hallucination
User
Awesome-LLM-in-Social-Science
Organization

Full report

Awesome-LLM-hallucination
Trust report
Awesome-LLM-in-Social-Science
Trust report

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.

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.

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-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

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: Awesome-LLM-hallucination 339 · Awesome-LLM-in-Social-Science 639 (synced Aug 6, 2026).

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 and Awesome-LLM-in-Social-Science alternatives (Awesome-LLM-hallucination markdown twin, Awesome-LLM-in-Social-Science markdown twin), 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 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; Awesome-LLM-in-Social-Science trust report.

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