LLMSurvey vs LLM-Agent-Paper-List

Common questions

What is the difference between LLMSurvey and LLM-Agent-Paper-List?

LLMSurvey: A collection of papers and resources related to Large Language Models. LLM-Agent-Paper-List: Must-read papers for LLM-based agents.. See the comparison table for live GitHub stats and shared categories.

When should I choose LLMSurvey over LLM-Agent-Paper-List?

Choose LLMSurvey over LLM-Agent-Paper-List when Pricing: The repository is free to access, but the Chinese book is available for purchase.; Requirements: Min 4 GB RAM; A basic understanding of deep learning is recommended for the Chinese book.; This repository could be considered an updated and more comprehensive version of a survey like LLMSurvey, specifically focusing on agent-based research; Tags unique to LLMSurvey: chain-of-thought, chatgpt, in-context-learning, instruction-tuning; Also covers LLM Frameworks; Use LLMSurvey when you need a detailed survey paper and resources on Large Language Models, especially if you are interested in long chain-of-thought reasoning.

When should I choose LLM-Agent-Paper-List over LLMSurvey?

Choose LLM-Agent-Paper-List over LLMSurvey when This repository could be considered an updated and more comprehensive version of a survey like LLMSurvey, specifically focusing on agent-based research; Tags unique to LLM-Agent-Paper-List: agent, evaluation, nlp, reinforcement learning; Also covers AI Agents, Evaluation & Observability; When you need a comprehensive list of must-read papers on LLM-based agents, including detailed insights into AgentGym, a framework for developing and training LLM agents through reinforcement learning.

When should I avoid LLMSurvey?

Avoid LLMSurvey if you are looking for a tool that provides hands-on training or implementation of LLMs, as it focuses more on theoretical resources and surveys. Do not use LLMSurvey if you require real-time updates or interactive tools for LLM development, as it primarily offers static content and resources.

When should I avoid LLM-Agent-Paper-List?

If you are looking for a tool that focuses on a broader range of AI agent development beyond LLM-based agents, as LLM-Agent-Paper-List is specifically curated for LLM-based agents When you need real-time updates or a dynamic list of papers, as the repository is a static list and does not automatically update with new publications If you require a tool that includes practical code implementations for all listed papers, as the repository primarily serves as a list and does not provide comprehensive code for every paper

Is LLMSurvey or LLM-Agent-Paper-List more popular on GitHub?

LLMSurvey has more GitHub stars (12,216 vs 8,222). Stars measure visibility, not whether either tool fits your constraints.

Are LLMSurvey and LLM-Agent-Paper-List open source?

Yes - both are open-source projects on GitHub.

Where can I find alternatives to LLMSurvey or LLM-Agent-Paper-List?

GraphCanon lists graph-backed alternatives at LLMSurvey alternatives and LLM-Agent-Paper-List alternatives (LLMSurvey markdown twin, LLM-Agent-Paper-List 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, LLMSurvey or LLM-Agent-Paper-List?

LLMSurvey: Dormant. LLM-Agent-Paper-List: Dormant. 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 LLMSurvey and LLM-Agent-Paper-List?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LLMSurvey trust report; LLM-Agent-Paper-List trust report.