Awesome AI Agents › Multi-Agent Surveys

shure-dev/Awesome-LLM-Papers-Comprehensive-Topics

⭐ 222 added to this list on 2025-04-19 repository created 2024-01-13

The project "Awesome LLM Papers and repos on very comprehensive topics" curated by shure-dev is a comprehensive and well-organized repository that collects and categorizes a vast number of research papers and repositories related to Large Language Models (LLMs) and their diverse applications. It serves as a valuable resource for researchers, developers, and enthusiasts interested in the latest advancements and foundational works in the field of LLMs. The repository covers a wide range of topics including Chain of Thought (CoT), Vision-Language Models (VLM), Quantization, Grounding, Text-to-Image and Video generation, Prompt Engineering and Tuning, Reasoning, Robotics, Agents, Planning, Reinforcement Learning, Feedback mechanisms, In-Context Learning, Few-Shot and Zero-Shot learning, Instruction Tuning, Parameter-Efficient Fine-Tuning (PEFT), Reinforcement Learning with Human Feedback (RLHF), Retrieval-Augmented Generation (RAG), Embodied AI, Visual Question Answering (VQA), Hallucination in models, Diffusion models, Scaling techniques, Context Window management, World Models, Memory, Rotary Positional Embeddings (RoPE), Speech, Perception, Surveys, Segmentation, Large Action Models, Foundation models, Low-Rank Adaptation (LoRA), Proximal Policy Optimization (PPO), and Direct Preference Optimization (DPO). The repository includes a detailed table listing over 500 papers and repositories, each categorized by topic, with links to the original papers (often on ArXiv) and sometimes to associated GitHub repositories. This makes it easy for users to explore specific areas of interest and access the latest research outputs. The project also provides an interactive experience through a Notion table, enhancing usability and navigation. Visual aids such as diagrams and badges are included to improve the presentation and accessibility of the information. The repository is actively maintained and updated, reflecting the fast-paced developments in the LLM research community. Overall, this project is an essential hub for anyone looking to deepen their understanding of LLMs and stay current with cutting-edge research and tools in this rapidly evolving domain.

https://github.com/shure-dev/Awesome-LLM-Papers-Comprehensive-Topics

agentagentsagiawesome-listchain-of-thoughtchainofthoughtchatgptcontext-windowdiffusiondpoembodied-aifeedbackfew-shot-learningfoundation-modelsgroundinghallucinationin-context-learninginstruction-tuninglarge-action-modellarge-language-modelsllmllm-agentloramemorymultimodalpaperspeftperceptionplanningppoprompt-engineeringprompt-tuningquantizationragreasoningreinforcement-learningrepositoriesresearch-papersrlhfrobotroboticsropescalingsegmentationspeechsurveytext-to-imagetext-to-videovision-language-modelsvlmvqaworld-modelszero-shotzero-shot-learning