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    Jason Sheu

    Jason Sheu

    Data Scientist at XiFin Inc, currently pursuing a Masters of Information and Data Science at UC Berkeley. Passionate about big data, AI, and data science ethics.

    • San Diego, CA
    • XiFin, Inc.
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    Trending ML/AI Papers

    less than 1 minute read

    Published: April 06, 2026

    Trending ML/AI Papers from the week of April 06, 2026 – April 12, 2026

    1. GigaWorld-Policy: An Efficient Action-Centered World–Action Model

    2. Efficient Memory Management for Large Language Model Serving with PagedAttention

    3. RAG-Anything: All-in-One RAG Framework

    4. QuantAgent: Price-Driven Multi-Agent LLMs for High-Frequency Trading

    5. OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversation

    6. SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion

    7. Embarrassingly Simple Self-Distillation Improves Code Generation

    8. Gen-Searcher: Reinforcing Agentic Search for Image Generation

    9. TradingAgents: Multi-Agents LLM Financial Trading Framework

    10. AutoFigure-Edit: Generating Editable Scientific Illustration

    Tags: ai, ml, papers, trending

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