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A category wise collection of 200+ LLM survey papers.
| Date | Stars |
|---|---|
| 2026-07-31 | 300 |
| 2026-08-02 | 300 |
| 2026-08-06 | 300 |
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# 🔰 LLM Survey Papers Collection
This repo contains a category wise collection of 200+ LLM survey papers.
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## Quick links
||||
|---|---|---|
| [🚀 General](#general) | [🧱 Prompting Techniques](#prompting-techniques) | [🩸Small Language Models](#small-language-models) |
| [🟩 Multi Modal LLMs](#multi-modal-llms)| [🚧 MUltilingual LLMs](#multilingual-llms) | [📤 Data Management](#data-management) |
| [🌠 Post Training](#post-training) | [💎 LLM Fine Tuning](#llm-fine-tuning)|[⚖️ LLM Inference](#llm-inference) |
| [🔍 LLM Architectures](#llm-architectures) | [📅 LLM Abilities and Limitations](#llm-abilities-and-limitations) | [📝 LLM Reasoning](#llm-reasoning) |
| [🛑 Chain of Thought](#chain-of-thought) | [💠 LLM RAG](#llm-rag) | [❇️ LLM Agents](#llm-agents) |
| [✒️ Data Augmentation](#data-augmentation) | [🎈 Hallucination](#hallucination) | [🟢 Fairness](#fairness) |
|[✅ Embedding Models](#embedding-models)| [⚓️ LLM Evaluation](#llm-evaluation)| [📝 Synthetic Data Generation](#synthetic-data-generation)|
| [🔴 LLM Safety](#llm-safety) | [🔶 LLMs for Specific Domains](#llms-for-specific-domains)|[☑️ Others](#others)|
## Related Repositories
- 🧱[LLM Engineer Toolkit](https://github.com/KalyanKS-NLP/llm-engineer-toolkit) - Contains a curated list of 120+ LLM libraries category wise.
- 🚀[RAG Zero to Hero Guide](https://github.com/KalyanKS-NLP/rag-zero-to-hero-guide) - Comprehensive guide to learn RAG from basics to advanced.
## General
| Paper | Link |
|-------|------|
| Large Language Models: A Survey | [Link](https://arxiv.org/abs/2402.06196) |
| A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-4 | [Link](https://arxiv.org/abs/2310.12321) |
| A Comprehensive Overview of Large Language Models | [Link](https://arxiv.org/abs/2307.06435) |
| A Survey of Large Language Models | [Link](https://arxiv.org/abs/2303.18223) |
| Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects | [Link](https://www.techrxiv.org/users/618307/articles/682263-large-language-models-a-comprehensive-survey-of-its-applications-challenges-limitations-and-future-prospects) |
## Prompting Techniques
| Paper | Link |
|-------|------|
| The Prompt Report: A Systematic Survey of Prompting Techniques | [Link](https://arxiv.org/abs/2406.06608) |
| Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization | [Link](https://arxiv.org/abs/2406.01171) |
| Efficient Prompting Methods for Large Language Models: A Survey | [Link](https://arxiv.org/abs/2404.01077) |
| A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications | [Link](https://arxiv.org/abs/2402.07927) |
| In-context Learning with Retrieved Demonstrations for Language Models: A Survey | [Link](https://arxiv.org/abs/2401.11624) |
## Small Language Models
| Paper | Link |
|-------|------|
| Small Language Models (SLMs) Can Still Pack a Punch: A survey | [Link](https://arxiv.org/abs/2501.05465) |
| A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness | [Link](https://arxiv.org/abs/2411.03350) |
| A Survey of Small Language Models | [Link](https://arxiv.org/abs/2410.20011) |
| Small Language Models: Survey, Measurements, and Insights | [Link](https://arxiv.org/abs/2409.15790) |
## Multi Modal LLMs
| Paper | Link |
|-------Excerpt of 31,129 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:002dadd2a8337241, llm:Repository description: 'A category wise collection of 200+ LLM survey papers.' (collection of survey papers about Large Language Models)