LLM-Research — LLM Plugin by asimsinan

by asimsinan · LLM Plugin · ★ 64

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About LLM-Research

A curated list of papers on Large Language Models by year (Bullet Points were generated by 'MBZUAI/LaMini-Flan-T5-248M'), tools, frameworks, thesis, courses. I'll try to update the list if new papers are published. Let me know if I am missing important/milestone papers. Contributions and suggestions are welcomed. To-Do: Create a website to automatize the work (Maybe using LLM Based Agents?) Papers Open Access Theses University Courses Tools & Frameworks

arxiv-papersbuyuk-dil-modellerilarge-language-modelsllmllm-frameworksllm-researchllm-thesesllm-toolsllms

Quick Facts

Stars64
Forks9
LanguagePython
CategoryLLM Plugin
Quality Score44.4446901802831/100
Last Updated2026-06-05
Created2024-01-18
Platformspython
Est. Tokens~213k

Compatible Skills

These tools work well together with LLM-Research for enhanced workflows:

  • agentlego — semantic(0.39)+complementary+same_lang+similar_pop+shared_platform (59%)
  • arxiv-latex-mcp — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • droid-llm-hunter — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • llm-srbench — semantic(0.35)+complementary+same_lang+similar_pop+shared_platform (57%)

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Frequently Asked Questions

What is LLM-Research?

LLM-Research is A collection of LLM related papers, thesis, tools, datasets, courses, benchmarks. It is categorized as a LLM Plugin with 64 GitHub stars.

What programming language is LLM-Research written in?

LLM-Research is primarily written in Python. It covers topics such as arxiv-papers, buyuk-dil-modelleri, large-language-models.

How do I install or use LLM-Research?

You can find installation instructions and usage details in the LLM-Research GitHub repository at github.com/asimsinan/LLM-Research. The project has 64 stars and 9 forks, indicating an active community.

What are the best alternatives to LLM-Research?

The top alternatives to LLM-Research on Agent Skills Hub include lilypad, LLM-Tools, sandbox-conversant-lib. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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