Comparison
Awesome-LLMs-ICLR-24 vs Awesome-LLM-in-Social-Science
Verdict
Pick Awesome-LLMs-ICLR-24 if awesome-LLMs-ICLR-24 is an essential resource hub for researchers and developers working with large language models, focusing on LLM research papers accepted at ICLR in 2024; 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-LLMs-ICLR-24 alternatives · Awesome-LLM-in-Social-Science alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | Awesome-LLMs-ICLR-24 | Awesome-LLM-in-Social-Science |
|---|---|---|
| Maintenance | Dormant (856d since push) As of 2w · github_public_v1 | Steady (49d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Organization account As of 4w · 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-LLMs-ICLR-24
- Compilation of LLM papers from ICLR 2024
- Awesome-LLM-in-Social-Science
- Awesome papers involving LLMs in Social Science
Stars
- Awesome-LLMs-ICLR-24
- 72
- Awesome-LLM-in-Social-Science
- 639
Forks
- Awesome-LLMs-ICLR-24
- 5
- Awesome-LLM-in-Social-Science
- 48
Open issues
- Awesome-LLMs-ICLR-24
- 0
- Awesome-LLM-in-Social-Science
- 0
Language
- Awesome-LLMs-ICLR-24
- -
- Awesome-LLM-in-Social-Science
- -
Adopt for
- Awesome-LLMs-ICLR-24
- Awesome-LLMs-ICLR-24 is an essential resource hub for researchers and developers working with large language models, focusing on LLM research papers accepted at ICLR in 2024.
- 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-LLMs-ICLR-24
- -
- Awesome-LLM-in-Social-Science
- -
Runtime
- Awesome-LLMs-ICLR-24
- -
- Awesome-LLM-in-Social-Science
- -
License
- Awesome-LLMs-ICLR-24
- MIT
- Awesome-LLM-in-Social-Science
- MIT
Last pushed
- Awesome-LLMs-ICLR-24
- Apr 4, 2024
- Awesome-LLM-in-Social-Science
- Jun 8, 2026
Categories
- Awesome-LLMs-ICLR-24
- Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
- Awesome-LLM-in-Social-Science
- Evaluation & Observability, Model Training
Trust and health
Maintenance
- Awesome-LLMs-ICLR-24
- Dormant (18%)
- Awesome-LLM-in-Social-Science
- Steady (60%)
Days since push
- Awesome-LLMs-ICLR-24
- 856d
- Awesome-LLM-in-Social-Science
- 49d
Owner type
- Awesome-LLMs-ICLR-24
- User
- Awesome-LLM-in-Social-Science
- Organization
Full report
- Awesome-LLMs-ICLR-24
- Trust report
- Awesome-LLM-in-Social-Science
- Trust report
Choose Awesome-LLMs-ICLR-24 if…
- Tags unique to Awesome-LLMs-ICLR-24: large-language-model, llm-framework, llm-inference, llm-training.
- Also covers Developer Tools, Inference & Serving, LLM Frameworks.
- If you are focusing specifically on recent advancements in Large Language Models discussed in the context of ICLR 2024, this repository will provide cutting-edge research papers and insights.
When NOT to use Awesome-LLMs-ICLR-24
- If you are looking for more general resources that cover a wider time span or different conferences than ICLR 2024.
- For projects where immediate practical application of models without understanding the underlying research is prioritized over detailed exploration and analysis.
Choose Awesome-LLM-in-Social-Science if…
- Tags unique to Awesome-LLM-in-Social-Science: alignment, economics, large language models, policy.
- Need to explore academic insights into LLM impacts on specific social areas
- More GitHub stars (639 vs 72) - visibility, not fit.
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 (azminewasi/Awesome-LLMs-ICLR-24) · observed Aug 8, 2026
- GitHub forks (azminewasi/Awesome-LLMs-ICLR-24) · observed Aug 8, 2026
- Last push (azminewasi/Awesome-LLMs-ICLR-24) · observed Apr 4, 2024
- License file (MIT) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (ValueByte-AI/Awesome-LLM-in-Social-Science) · observed Jul 28, 2026
- GitHub forks (ValueByte-AI/Awesome-LLM-in-Social-Science) · observed Jul 28, 2026
- Last push (ValueByte-AI/Awesome-LLM-in-Social-Science) · observed Jun 8, 2026
- License file (MIT) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Awesome-LLMs-ICLR-24 72 · Awesome-LLM-in-Social-Science 639 (synced Aug 8, 2026).
Common questions
- What is the difference between Awesome-LLMs-ICLR-24 and Awesome-LLM-in-Social-Science?
- Awesome-LLMs-ICLR-24: Compilation of LLM papers from ICLR 2024. 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-LLMs-ICLR-24 over Awesome-LLM-in-Social-Science?
- Choose Awesome-LLMs-ICLR-24 over Awesome-LLM-in-Social-Science when Tags unique to Awesome-LLMs-ICLR-24: large-language-model, llm-framework, llm-inference, llm-training; Also covers Developer Tools, Inference & Serving, LLM Frameworks; If you are focusing specifically on recent advancements in Large Language Models discussed in the context of ICLR 2024, this repository will provide cutting-edge research papers and insights.
- When should I choose Awesome-LLM-in-Social-Science over Awesome-LLMs-ICLR-24?
- Choose Awesome-LLM-in-Social-Science over Awesome-LLMs-ICLR-24 when Tags unique to Awesome-LLM-in-Social-Science: alignment, economics, large language models, policy; Need to explore academic insights into LLM impacts on specific social areas; More GitHub stars (639 vs 72) - visibility, not fit.
- When should I avoid Awesome-LLMs-ICLR-24?
- If you are looking for more general resources that cover a wider time span or different conferences than ICLR 2024. For projects where immediate practical application of models without understanding the underlying research is prioritized over detailed exploration and analysis.
- 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-LLMs-ICLR-24 or Awesome-LLM-in-Social-Science more popular on GitHub?
- Awesome-LLM-in-Social-Science has more GitHub stars (639 vs 72). Stars measure visibility, not whether either tool fits your constraints.
- Are Awesome-LLMs-ICLR-24 and Awesome-LLM-in-Social-Science open source?
- Yes - both are open-source projects on GitHub (Awesome-LLMs-ICLR-24: MIT, Awesome-LLM-in-Social-Science: MIT).
- Where can I find alternatives to Awesome-LLMs-ICLR-24 or Awesome-LLM-in-Social-Science?
- GraphCanon lists graph-backed alternatives at Awesome-LLMs-ICLR-24 alternatives and Awesome-LLM-in-Social-Science alternatives (Awesome-LLMs-ICLR-24 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-LLMs-ICLR-24 or Awesome-LLM-in-Social-Science?
- Awesome-LLMs-ICLR-24: 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-LLMs-ICLR-24 and Awesome-LLM-in-Social-Science?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Awesome-LLMs-ICLR-24 trust report; Awesome-LLM-in-Social-Science trust report.