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.

Trending ML/AI Papers

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Published:

Trending ML/AI Papers from the week of November 24, 2025 – November 30, 2025

  1. Back to Basics: Let Denoising Generative Models Denoise

  2. MiMo-Embodied: X-Embodied Foundation Model Technical Report

  3. PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

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

  5. PyTorch Distributed: Experiences on Accelerating Data Parallel Training

  6. DeepAnalyze: Agentic Large Language Models for Autonomous Data Science

  7. InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

  8. Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B

  9. Depth Anything 3: Recovering the Visual Space from Any Views

  10. MinerU: An Open-Source Solution for Precise Document Content Extraction

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