HqWu-HITCS/Awesome-LLM-Survey
An Awesome Collection for LLM Survey
This is a curated list of research papers and surveys specifically focused on Large Language Models (LLMs). It helps researchers and practitioners quickly find relevant academic work on various LLM topics, from training techniques like instruction tuning and human alignment to challenges like hallucination and domain-specific applications. The output is a structured collection of paper titles with links, making it easier to track advancements and explore specific areas of LLM research.
387 stars. No commits in the last 6 months.
Use this if you are an AI researcher, data scientist, or academic looking to understand the current state-of-the-art in LLM development, identify research gaps, or find foundational papers on specific aspects of LLMs.
Not ideal if you are looking for practical guides, code examples, or tutorials for implementing LLMs, as this resource focuses solely on academic literature.
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May 25, 2025
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