WebResearcher: Redefining Deep Research through the Art of Iterative State Reconstruction

Hong-Wei Wu published on 2026-04-02 included in category Paper Introduction

Dive into WebResearcher: The AI agent redefining Deep Research via Iterative Research (MDP). Learn how it achieves a SOTA 36.7% on HLE by overcoming context noise with the WebFrontier data engine, outperforming OpenAI and Gemini.

Beyond Fine-Tuning: How MemRL Enables Self-Evolving AI Agents via Reinforcement Learning

Hong-Wei Wu published on 2026-03-29 included in category Paper Introduction

Discover MemRL: A framework for self-evolving AI Agents using Runtime Reinforcement Learning. Learn how Agents improve from mistakes without fine-tuning or noisy RAG.

Takeaways of vLLM Semantic Router

Hong-Wei Wu published on 2026-03-29 included in category Essential AI Concept

Explore how vLLM Semantic Router Athena revolutionizes LLM infrastructure. Achieve 5x cost savings through automatic routing, parameter injection, and real-time hallucination detection in this technical deep dive.

UniversalRAG: Mastering Multimodal RAG with Intelligent Routing and Granularity Control

Hong-Wei Wu published on 2026-03-25 included in category Paper Introduction

Discover UniversalRAG: A breakthrough multimodal RAG framework by KAIST. Learn how its intelligent Router solves modality bias and granularity issues to optimize retrieval across text, tables, images, and video for large-scale AI applications.

Beyond the Context Window: A Deep Dive into Context Engineering for AI Agents

Hong-Wei Wu published on 2026-03-22 included in category Essential AI Concept

Master Context Engineering for AI Agents. Explore how to overcome LLM context limits using advanced memory architectures, compression strategies like ACON, and autonomous sub-agent systems to build more efficient and long-term AI workflows.

Beyond Prompt Engineering: The System Engineering of AI Agents — Deconstructing Memory, Tool-Making, and Autonomy in OpenClaw

Hong-Wei Wu published on 2026-03-16 included in category Essential AI Concept

Deep dive into AI Agent architecture: Learn how to overcome LLM limitations using system engineering. Explore OpenClaw’s design philosophy, context management, autonomous tool-making, and essential security sandboxing for production-grade automated systems.

Why Your RAG Fails at Complex Tables—And How MixRAG Fixes It: A Deep Dive into Heterogeneous Document Retrieval

Hong-Wei Wu published on 2026-03-15 included in category Paper Introduction

Boost your RAG system's performance on complex hierarchical tables and text. Discover the MixRAG framework: featuring H-RCL for precise data retrieval and the RECAP strategy to eliminate LLM calculation hallucinations in heterogeneous documents.