🔹 Title: DiffusionLane: Diffusion Model for Lane Detection

🔹 Publication Date: Published on Oct 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.22236
• PDF: https://arxiv.org/pdf/2510.22236

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🔹 Title: Scaling Laws for Deepfake Detection

🔹 Publication Date: Published on Oct 18

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16320
• PDF: https://arxiv.org/pdf/2510.16320

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🔹 Title: SyncHuman: Synchronizing 2D and 3D Generative Models for Single-view Human Reconstruction

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07723
• PDF: https://arxiv.org/pdf/2510.07723

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🔹 Title: Once Upon an Input: Reasoning via Per-Instance Program Synthesis

🔹 Publication Date: Published on Oct 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.22849
• PDF: https://arxiv.org/pdf/2510.22849
• Github: https://github.com/adaminsky/pips

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🔹 Title: Open Multimodal Retrieval-Augmented Factual Image Generation

🔹 Publication Date: Published on Oct 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.22521
• PDF: https://arxiv.org/pdf/2510.22521
• Project Page: https://tyangjn.github.io/orig.github.io/
• Github: https://github.com/TyangJN/ORIG

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/TyangJN/FIG

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🔹 Title: FlowOpt: Fast Optimization Through Whole Flow Processes for Training-Free Editing

🔹 Publication Date: Published on Oct 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.22010
• PDF: https://arxiv.org/pdf/2510.22010
• Project Page: https://orronai.github.io/FlowOpt/
• Github: https://github.com/orronai/FlowOpt

🔹 Datasets citing this paper:
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🔹 Spaces citing this paper:
• https://huggingface.co/spaces/orronai/FlowOpt
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🤖🧠 Agent Lightning By Microsoft: Reinforcement Learning Framework to Train Any AI Agent

🗓️ 28 Oct 2025
📚 Agentic AI

Artificial Intelligence (AI) is rapidly moving from static models to intelligent agents capable of reasoning, adapting, and performing complex, real-world tasks. However, training these agents effectively remains a major challenge. Most frameworks today tightly couple the agent’s logic with training processes making it hard to scale or transfer across use cases. Enter Agent Lightning, a ...

#AgentLightning #Microsoft #ReinforcementLearning #AIAgents #ArtificialIntelligence #MachineLearning

🤖🧠 PandasAI: Transforming Data Analysis with Conversational Artificial Intelligence

🗓️ 28 Oct 2025
📚 AI News & Trends

In a world dominated by data, the ability to analyze and interpret information efficiently has become a core competitive advantage. From business intelligence dashboards to large-scale machine learning models, data-driven decision-making fuels innovation across industries. Yet, for most people, data analysis remains a technical challenge requiring coding expertise, statistical knowledge and familiarity with libraries like ...

#PandasAI #ConversationalAI #DataAnalysis #ArtificialIntelligence #DataScience #MachineLearning

🔹 Title: MergeMix: A Unified Augmentation Paradigm for Visual and Multi-Modal Understanding

🔹 Publication Date: Published on Oct 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.23479
• PDF: https://arxiv.org/pdf/2510.23479
• Github: https://github.com/Westlake-AI/openmixup

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🔹 Title: Multi-Agent Evolve: LLM Self-Improve through Co-evolution

🔹 Publication Date: Published on Oct 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.23595
• PDF: https://arxiv.org/pdf/2510.23595

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🔹 Title: Sprint: Sparse-Dense Residual Fusion for Efficient Diffusion Transformers

🔹 Publication Date: Published on Oct 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.21986
• PDF: https://arxiv.org/pdf/2510.21986

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🤖🧠 Microsoft Data Formulator: Revolutionizing AI-Powered Data Visualization

🗓️ 28 Oct 2025
📚 AI News & Trends

In today’s data-driven world, visualization is everything. Whether you’re a business analyst, data scientist or researcher, the ability to convert raw data into meaningful visuals can define the success of your decisions. That’s where Microsoft’s Data Formulator steps in a cutting-edge, open-source platform designed to empower analysts to create rich, AI-assisted visualizations effortlessly. Developed by ...

#Microsoft #DataVisualization #AI #DataScience #OpenSource #Analytics

🤖🧠 Google’s GenAI MCP Toolbox for Databases: Transforming AI-Powered Data Management

🗓️ 28 Oct 2025
📚 AI News & Trends

In the era of artificial intelligence, where data fuels innovation and decision-making, the need for efficient and intelligent data management tools has never been greater. Traditional methods of database management often require deep technical expertise and manual oversight, slowing down development cycles and creating operational bottlenecks. To address these challenges, Google has introduced the GenAI ...

#Google #GenAI #Database #AIPowered #DataManagement #MachineLearning

🤖🧠 Wren AI: Transforming Business Intelligence with Generative AI

🗓️ 28 Oct 2025
📚 AI News & Trends

In the evolving world of data and analytics, one thing is certain — the ability to transform raw data into actionable insights defines success. Organizations today are generating more data than ever before, yet accessing and understanding that data remains a significant challenge. Traditional business intelligence tools require technical expertise, SQL knowledge and manual configuration. ...

#WrenAI #GenerativeAI #BusinessIntelligence #DataAnalytics #AI #Insights

🔹 Title: VL-SAE: Interpreting and Enhancing Vision-Language Alignment with a Unified Concept Set

🔹 Publication Date: Published on Oct 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.21323
• PDF: https://arxiv.org/pdf/2510.21323
• Github: https://github.com/ssfgunner/VL-SAE

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🔹 Title: Tongyi DeepResearch Technical Report

🔹 Publication Date: Published on Oct 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.24701
• PDF: https://arxiv.org/pdf/2510.24701
• Project Page: https://tongyi-agent.github.io/blog/introducing-tongyi-deep-research/
• Github: https://github.com/Alibaba-NLP/DeepResearch

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🔹 Title: ReplicationBench: Can AI Agents Replicate Astrophysics Research Papers?

🔹 Publication Date: Published on Oct 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.24591
• PDF: https://arxiv.org/pdf/2510.24591

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🔹 Title: OSWorld-MCP: Benchmarking MCP Tool Invocation In Computer-Use Agents

🔹 Publication Date: Published on Oct 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.24563
• PDF: https://arxiv.org/pdf/2510.24563
• Project Page: https://osworld-mcp.github.io/

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🔹 Title: RoboOmni: Proactive Robot Manipulation in Omni-modal Context

🔹 Publication Date: Published on Oct 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.23763
• PDF: https://arxiv.org/pdf/2510.23763
• Project Page: https://OpenMOSS.github.io/RoboOmni
• Github: https://github.com/OpenMOSS/RoboOmni

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/fnlp/OmniAction
• https://huggingface.co/datasets/fnlp/OmniAction-LIBERO

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🔹 Title: Critique-RL: Training Language Models for Critiquing through Two-Stage Reinforcement Learning

🔹 Publication Date: Published on Oct 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.24320
• PDF: https://arxiv.org/pdf/2510.24320
• Github: https://github.com/WooooDyy/Critique-RL

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🔹 Title: Latent Sketchpad: Sketching Visual Thoughts to Elicit Multimodal Reasoning in MLLMs

🔹 Publication Date: Published on Oct 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.24514
• PDF: https://arxiv.org/pdf/2510.24514
• Project Page: https://latent-sketchpad.github.io/
• Github: https://github.com/hwanyu112/Latent-Sketchpad

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