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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
An Awesome Collection for LLM Survey
| Date | Stars |
|---|---|
| 2026-07-31 | 445 |
| 2026-08-01 | 445 |
| 2026-08-06 | 445 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# Awesome-LLM-Survey
[](https://github.com/HqWu-HITCS/Awesome-LLM-Survey)
[](https://github.com/luban-agi/Awesome-Domain-LLM)
This repo aims to record survey of LLM, including instruction tuning, human alignment, LLM agent, hallucination, multi-modal, etc.
We strongly encourage the researchers that want to promote their fantastic work to the LLM survey community to make pull request to update their paper's information!
- [Awesome-LLM-Survey](#awesome-llm-survey)
- [General Survey](#general-survey)
- [Training of LLM](#training-of-llm)
- [Instruction Tuning](#instruction-tuning)
- [Human Alignment for LLM](#human-alignment-for-llm)
- [Prompt of LLM](#prompt-of-llm)
- [Chain of Thought for LLM](#chain-of-thought-for-llm)
- [Prompt Engineering for LLM](#prompt-engineering-for-llm)
- [Retrieval-Augmented LLM](#retrieval-augmented-llm)
- [Challenge of LLM](#challenge-of-llm)
- [Hallucination in LLM](#hallucination-in-llm)
- [Compression for LLM](#compression-for-llm)
- [Evaluation of LLM](#evaluation-of-llm)
- [Reasoning LLM](#reasoning-with-llm)
- [Explainability for LLM](#explainability-for-llm)
- [Fairness in LLM](#fairness-in-llm)
- [Graph for LLM](#graph-for-llm)
- [Long-Context for LLM](#long-context-for-llm)
- [Factuality in LLM](#factuality-in-llm)
- [Knowledge for LLM](#knowledge-for-llm)
- [Self-Correction for LLM](#self-correction-for-llm)
- [Attributions for LLM](#attributions-for-llm)
- [Tool Using of LLM](#tool-using-of-llm)
- [Calibration of LLM](#calibration-of-llm)
- [Agent of LLM](#agent-of-llm)
- [Role-play of LLM](#role-play-of-llm)
- [Vulnerabilities of LLM](#vulnerabilities-of-llm)
- [Efficiency of LLM](#efficiency-of-llm)
- [Data of LLM](#data-of-llm)
- [Security and Privacy of LLM](#security-and-privacy-of-llm)
- [Continual Learning of LLM](#continual-learning-of-llm)
- [Mulitmodal of LLM](#mulitmodal-of-llm)
- [Visual LLM](#visual-llm)
- [Audio LLM](#audio-llm)
- [Code LLM](#code-llm)
- [LLM for Domain Application](#llm-for-domain-application)
- [LLM for Health](#llm-for-health)
- [LLM for Finance](#llm-for-finance)
- [LLM for Education](#llm-for-education)
- [LLM for Law](#llm-for-law)
- [LLM for Mental Health](#llm-for-mental-health)
- [LLM for Robotics](#llm-for-robotics)
- [LLM for Downstream Tasks](#llm-for-downstream-tasks)
- [LLM for Recommendation](#llm-for-recommendation)
- [LLM for Information Retrieval](#llm-for-information-retrieval)
- [LLM for Software Engineering](#llm-for-software-engineering)
- [LLM for Autonomous Driving](#llm-for-autonomous-driving)
- [LLM for Time Series](#llm-for-time-series)
- [Detection of LLMs-Generated Content](#detection-of-llms-generated-content)
- [LLM for Society](#llm-for-society)
- [LLM for Citation](#llm-for-citation)
- [LLM for Text Watermarking](#llm-for-text-watermarking)
- [LLM for Math](#llm-for-math)
- [LLM for Environmental Disciplines](#llm-for-environmental-disciplines)
- [LLM for Information Extraction](#llm-for-information-extraction)
- [LLM for Data Annotation](#llm-for-data-annotation)
- [LLM for Game](#llm-for-game)
- [Star History](#star-history)
---
## General Survey
- A Survey of Large Language Models, 2023.11 [[paper]](https://arxiv.org/abs/2303.18223)[[project]](https://github.com/RUCAIBox/LLMSurvey)
- A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-4, 2023.10 [[paper]](https://arxiv.org/pdf/2310.12321.pdf)
- Challenges and Applications of Large Language Models, 2023.07 [[paper]](https://arxiv.orgExcerpt of 28,023 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:08e0095d3d86b94a, topic:large-language-models, topic:llm
matched fp:08e0095d3d86b94a, topic:nlp
matched fp:08e0095d3d86b94a, topic:awesome-list