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VisionWeaver: From Phenomenon Recognition to Cause Diagnosis, Opening a New Chapter in AI Visual Hallucination Research

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VisionWeaver: From Phenomenon Recognition to Cause Diagnosis, Opening a New Chapter in AI Visual Hallucination Research

VisionWeaver & VHBench-10 — Root Cause Diagnosis for LVLM Hallucinations Date: 2025-11-14 · Location: Shanghai The Bilibili User Technology Center has unveiled VisionWeaver and its diagnostic benchmark VHBench-10, offering a new paradigm for understanding and tackling hallucinations in large vision-language models (LVLMs). --- 📖 Preface For years, we’ve

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Reducing False Positives in RAG Semantic Caching: A Banking Case Study

## Key Takeaways - **Semantic caching** — a **Retrieval-Augmented Generation (RAG)** technique — stores queries and responses as **vector embeddings** for reuse. - Improves **efficiency** by avoiding repeated large language model (LLM) calls. - Case study: failure ➡ production success through **7 bi-encoder models**, **4 setups**, **1,000 banking queries**. - **Three model types** tested: compact,