🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.
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英文目录Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
Continuously updated paper list on advancements in Data Agents. Companion repo to our paper "A Survey of Data Agents: Emerging Paradigm or Overstated Hype?"
A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).
Open-source agent skills for AI for Science: topic exploration, literature survey, experiments, paper writing, and integrity audit — driven by any coding agent.
A Survey of Self-Evolving Agents | A curated list of resources (surveys, papers, benchmarks, and opensource projects) on Self-Evolving Agents.
An open survey on 3D Gaussian Splatting compression methods
[TMLR 2025🔥] A survey for the autoregressive models in vision.
Open survey and evidence map for AI agent evolution, self-evolving agents, memory, skills, harnesses, benchmarks, and agent-swarm systems.
A Survey on Multimodal Retrieval-Augmented Generation
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey