Home/Compare/Awesome-LLMs-ICLR-24 vs ArXivChatGuru

Comparison

Awesome-LLMs-ICLR-24 vs ArXivChatGuru

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 ArXivChatGuru if arXivChatGuru uses LangChain and OpenAI for question-answering over ArXiv research papers with Redis as the vector database.

Markdown twin · Awesome-LLMs-ICLR-24 alternatives · ArXivChatGuru alternatives

GraphCanon updated 4d

Awesome-LLMs-ICLR-24 logo

Awesome-LLMs-ICLR-24

azminewasi/Awesome-LLMs-ICLR-24

72pushed Apr 4, 2024
vs
ArXivChatGuru logo

ArXivChatGuru

redis-developer/ArXivChatGuru

561pushed Mar 18, 2026

Trust & integrity

SignalAwesome-LLMs-ICLR-24ArXivChatGuru
Maintenance
Dormant (856d since push)
As of 2w · github_public_v1
Slowing (156d since push)
As of 4d · github_public_v1
Provenance
Not a fork · Personal account
As of 2w · github_public_v1
Not a fork · Organization account
As of 4d · 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
ArXivChatGuru
An application to interrogate research papers using AI

Stars

Awesome-LLMs-ICLR-24
72
ArXivChatGuru
561

Forks

Awesome-LLMs-ICLR-24
5
ArXivChatGuru
75

Open issues

Awesome-LLMs-ICLR-24
0
ArXivChatGuru
7

Language

Awesome-LLMs-ICLR-24
-
ArXivChatGuru
Python

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.
ArXivChatGuru
ArXivChatGuru uses LangChain and OpenAI for question-answering over ArXiv research papers with Redis as the vector database.

Persona

Awesome-LLMs-ICLR-24
-
ArXivChatGuru
-

Runtime

Awesome-LLMs-ICLR-24
-
ArXivChatGuru
-

License

Awesome-LLMs-ICLR-24
MIT
ArXivChatGuru
ArXivChatGuru is covered under the MIT License, allowing free use and modification with attribution.

Last pushed

Awesome-LLMs-ICLR-24
Apr 4, 2024
ArXivChatGuru
Mar 18, 2026

Categories

Awesome-LLMs-ICLR-24
Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
ArXivChatGuru
Evaluation & Observability, Vector Databases

Trust and health

Maintenance

Awesome-LLMs-ICLR-24
Dormant (18%)
ArXivChatGuru
Slowing (36%)

Days since push

Awesome-LLMs-ICLR-24
856d
ArXivChatGuru
156d

Open issues (now)

Awesome-LLMs-ICLR-24
0
ArXivChatGuru
7

Stars delta

Awesome-LLMs-ICLR-24
Unknown
ArXivChatGuru
-1 (30d)

Open issues delta

Awesome-LLMs-ICLR-24
Unknown
ArXivChatGuru
0 (30d)

Owner type

Awesome-LLMs-ICLR-24
User
ArXivChatGuru
Organization

Full report

Awesome-LLMs-ICLR-24
Trust report
ArXivChatGuru
Trust report

Choose Awesome-LLMs-ICLR-24 if…

  • Tags unique to Awesome-LLMs-ICLR-24: large-language-model, llm-agent, llm-evaluation, llm-framework.
  • Also covers Developer Tools, Inference & Serving, LLM Frameworks, Model Training.
  • 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 ArXivChatGuru if…

  • Pricing: Free to use but might incur costs for OpenAI API calls, depending on usage intensity..
  • Requirements: Python knowledge is required for setting up ArXivChatGuru locally.; Integration expertise with LangChain and Redis is beneficial for optimizing the retrieval system..
  • Tags unique to ArXivChatGuru: ai, arxiv, langchain, machine-learning.
  • Also covers Vector Databases.
  • ArXivChatGuru ships Docker support for self-hosted deployment.
  • You need to derive insights from complex academic papers on ArXiv where a conversational AI interface could help in understanding dense content.

When NOT to use ArXivChatGuru

  • The focus is on real-time data processing that requires updates more frequent than daily, as ArXivChatGuru's primary strength lies in static research paper analysis.
  • You require comprehensive coverage of a domain beyond ArXiv, since the tool is specifically tailored for ArXiv-hosted papers and does not cover external academic databases.

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-LLMs-ICLR-24 72 · ArXivChatGuru 561 (synced Aug 8, 2026).

Common questions

What is the difference between Awesome-LLMs-ICLR-24 and ArXivChatGuru?
Awesome-LLMs-ICLR-24: Compilation of LLM papers from ICLR 2024. ArXivChatGuru: An application to interrogate research papers using AI. See the comparison table for live GitHub stats and shared categories.
When should I choose Awesome-LLMs-ICLR-24 over ArXivChatGuru?
Choose Awesome-LLMs-ICLR-24 over ArXivChatGuru when Tags unique to Awesome-LLMs-ICLR-24: large-language-model, llm-agent, llm-evaluation, llm-framework; Also covers Developer Tools, Inference & Serving, LLM Frameworks, Model Training; 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 ArXivChatGuru over Awesome-LLMs-ICLR-24?
Choose ArXivChatGuru over Awesome-LLMs-ICLR-24 when Pricing: Free to use but might incur costs for OpenAI API calls, depending on usage intensity.; Requirements: Python knowledge is required for setting up ArXivChatGuru locally.; Integration expertise with LangChain and Redis is beneficial for optimizing the retrieval system.; Tags unique to ArXivChatGuru: ai, arxiv, langchain, machine-learning; Also covers Vector Databases; ArXivChatGuru ships Docker support for self-hosted deployment; You need to derive insights from complex academic papers on ArXiv where a conversational AI interface could help in understanding dense content.
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 ArXivChatGuru?
The focus is on real-time data processing that requires updates more frequent than daily, as ArXivChatGuru's primary strength lies in static research paper analysis. You require comprehensive coverage of a domain beyond ArXiv, since the tool is specifically tailored for ArXiv-hosted papers and does not cover external academic databases.
Is Awesome-LLMs-ICLR-24 or ArXivChatGuru more popular on GitHub?
ArXivChatGuru has more GitHub stars (561 vs 72). Stars measure visibility, not whether either tool fits your constraints.
Are Awesome-LLMs-ICLR-24 and ArXivChatGuru open source?
Yes - both are open-source projects on GitHub (Awesome-LLMs-ICLR-24: MIT, ArXivChatGuru: MIT).
Where can I find alternatives to Awesome-LLMs-ICLR-24 or ArXivChatGuru?
GraphCanon lists graph-backed alternatives at Awesome-LLMs-ICLR-24 alternatives and ArXivChatGuru alternatives (Awesome-LLMs-ICLR-24 markdown twin, ArXivChatGuru 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 ArXivChatGuru?
Awesome-LLMs-ICLR-24: Dormant. ArXivChatGuru: Slowing. 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 ArXivChatGuru?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Awesome-LLMs-ICLR-24 trust report; ArXivChatGuru trust report.

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