elder-plinius/CL4R1T4S
CL4R1T4S is a project that provides transparency by collecting and sharing the hidden system prompts and guidelines used by major AI models and agents to promote trust and understanding of AI behavior.
Awesome AI Agents › LLM Research Repositories
PhoneLLM/Awesome-LLM-Powered-Phone-GUI-Agents
The project "LLM-Powered GUI Agents in Phone Automation: Surveying Progress and Prospects" is a comprehensive survey and curated repository focused on the development and advancements of large language model (LLM) powered graphical user interface (GUI) agents specifically designed for phone automation. It serves as an extensive resource that categorizes and summarizes key research papers, frameworks, datasets, benchmarks, and milestones in this emerging field. The repository is structured to provide a taxonomy of LLM-powered phone GUI agents, highlighting different approaches such as prompt engineering and training-based methods. Prompt engineering involves leveraging pre-trained LLMs by crafting specific input prompts to perform tasks without modifying the model parameters, while training-based methods adapt LLMs through supervised fine-tuning or reinforcement learning on GUI-specific data to enhance their interaction capabilities with mobile user interfaces. The project includes a detailed paper list that covers various frameworks and components of phone GUI agents, including single-agent frameworks, multi-agent frameworks, and plan-then-act frameworks. It also discusses different LLM applications for phone automation, such as text-based and multimodal prompt engineering, task-specific LLM-based agents, and various training methodologies. Additionally, the repository provides information on datasets and benchmarks used to evaluate the performance of these agents. The repository is actively maintained with regular updates to the paper list and survey versions, reflecting the latest research progress. It also encourages community contributions through pull requests, issues, and other forms of collaboration. The project is valuable for researchers and developers interested in the intersection of natural language processing, machine learning, and mobile user interface automation, offering a centralized knowledge base and reference point for ongoing and future work in this domain.
https://github.com/PhoneLLM/Awesome-LLM-Powered-Phone-GUI-Agents
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