ML Research Hub
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Advancing research in Machine Learning โ€“ practical insights, tools, and techniques for researchers.

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๐Ÿ”น Title: GigaBrain-0: A World Model-Powered Vision-Language-Action Model

๐Ÿ”น Publication Date: Published on Oct 22

๐Ÿ”น Paper Links:
โ€ข arXiv Page: https://arxiv.org/abs/2510.19430
โ€ข PDF: https://arxiv.org/pdf/2510.19430
โ€ข Project Page: https://gigabrain0.github.io/
โ€ข Github: https://github.com/open-gigaai/giga-brain-0

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๐Ÿ”น Title: From Charts to Code: A Hierarchical Benchmark for Multimodal Models

๐Ÿ”น Publication Date: Published on Oct 20

๐Ÿ”น Paper Links:
โ€ข arXiv Page: https://arxiv.org/abs/2510.17932
โ€ข PDF: https://arxiv.org/pdf/2510.17932
โ€ข Project Page: https://csu-jpg.github.io/Chart2Code.github.io/
โ€ข Github: https://github.com/CSU-JPG/Chart2Code

๐Ÿ”น Datasets citing this paper:
โ€ข https://huggingface.co/datasets/CSU-JPG/Chart2Code

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๐Ÿ”น Title: Attention Sinks in Diffusion Language Models

๐Ÿ”น Publication Date: Published on Oct 17

๐Ÿ”น Paper Links:
โ€ข arXiv Page: https://arxiv.org/abs/2510.15731
โ€ข PDF: https://arxiv.org/pdf/2510.15731

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๐Ÿ”น Title: Directional Reasoning Injection for Fine-Tuning MLLMs

๐Ÿ”น Publication Date: Published on Oct 16

๐Ÿ”น Paper Links:
โ€ข arXiv Page: https://arxiv.org/abs/2510.15050
โ€ข PDF: https://arxiv.org/pdf/2510.15050
โ€ข Github: https://github.com/WikiChao/DRIFT

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๐Ÿ”น Title: See the Text: From Tokenization to Visual Reading

๐Ÿ”น Publication Date: Published on Oct 21

๐Ÿ”น Paper Links:
โ€ข arXiv Page: https://arxiv.org/abs/2510.18840
โ€ข PDF: https://arxiv.org/pdf/2510.18840

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๐Ÿ”น Title: DeLeaker: Dynamic Inference-Time Reweighting For Semantic Leakage Mitigation in Text-to-Image Models

๐Ÿ”น Publication Date: Published on Oct 16

๐Ÿ”น Paper Links:
โ€ข arXiv Page: https://arxiv.org/abs/2510.15015
โ€ข PDF: https://arxiv.org/pdf/2510.15015

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๐Ÿ”น Title: Language Models are Injective and Hence Invertible

๐Ÿ”น Publication Date: Published on Oct 17

๐Ÿ”น Paper Links:
โ€ข arXiv Page: https://arxiv.org/abs/2510.15511
โ€ข PDF: https://arxiv.org/pdf/2510.15511

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๐Ÿ”น Title: Decomposed Attention Fusion in MLLMs for Training-Free Video Reasoning Segmentation

๐Ÿ”น Publication Date: Published on Oct 22

๐Ÿ”น Paper Links:
โ€ข arXiv Page: https://arxiv.org/abs/2510.19592
โ€ข PDF: https://arxiv.org/pdf/2510.19592
โ€ข Project Page: https://www.jshyun.me/projects/decaf
โ€ข Github: https://github.com/HYUNJS/DecAF

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๐Ÿค–๐Ÿง  LangGraph by LangChain-AI: The Framework Powering Stateful, Long-Running AI Agents

๐Ÿ—“๏ธ 23 Oct 2025
๐Ÿ“š AI News & Trends

As artificial intelligence continues to reshape industries, one major challenge remains building reliable, stateful and long-running AI agents that can handle complex workflows over time. Traditional AI frameworks often focus on short interactions, lacking the infrastructure to manage persistent states, durable memory or human feedback loops. Thatโ€™s where LangGraph from LangChain-AI steps in. Trusted by ...

#LangGraph #LangChainAI #AIAgents #StatefulAI #LongRunningAgents #ArtificialIntelligence
๐Ÿค–๐Ÿง  Master Machine Learning: Explore the Ultimate โ€œMachine-Learning-Tutorialsโ€ Repository

๐Ÿ—“๏ธ 23 Oct 2025
๐Ÿ“š AI News & Trends

In todayโ€™s data-driven world, Machine Learning (ML) has become the cornerstone of modern technology from intelligent chatbots to predictive analytics and recommendation systems. However, mastering ML isnโ€™t just about coding, it requires a structured understanding of algorithms, statistics, optimization techniques and real-world problem-solving. Thatโ€™s where Ujjwal Karnโ€™s Machine-Learning-Tutorials GitHub repository stands out. This open-source, topic-wise ...

#MachineLearning #MLTutorials #ArtificialIntelligence #DataScience #OpenSource #AIEducation
๐Ÿ”น Title: What Questions Should Robots Be Able to Answer? A Dataset of User Questions for Explainable Robotics

๐Ÿ”น Publication Date: Published on Oct 18

๐Ÿ”น Paper Links:
โ€ข arXiv Page: https://arxiv.org/abs/2510.16435
โ€ข PDF: https://arxiv.org/pdf/2510.16435

๐Ÿ”น Datasets citing this paper:
โ€ข https://huggingface.co/datasets/lwachowiak/xai-questions-dataset

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๐Ÿ”น Title: Steering Autoregressive Music Generation with Recursive Feature Machines

๐Ÿ”น Publication Date: Published on Oct 21

๐Ÿ”น Paper Links:
โ€ข arXiv Page: https://arxiv.org/abs/2510.19127
โ€ข PDF: https://arxiv.org/pdf/2510.19127
โ€ข Github: https://github.com/astradzhao/music-rfm

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๐Ÿ”น Title: SAVANT: Semantic Analysis with Vision-Augmented Anomaly deTection

๐Ÿ”น Publication Date: Published on Oct 20

๐Ÿ”น Paper Links:
โ€ข arXiv Page: https://arxiv.org/abs/2510.18034
โ€ข PDF: https://arxiv.org/pdf/2510.18034

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๐Ÿ”น Title: Accelerating Vision Transformers with Adaptive Patch Sizes

๐Ÿ”น Publication Date: Published on Oct 20

๐Ÿ”น Paper Links:
โ€ข arXiv Page: https://arxiv.org/abs/2510.18091
โ€ข PDF: https://arxiv.org/pdf/2510.18091
โ€ข Github: https://github.com/rccchoudhury/apt

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๐Ÿ”น Title: Text or Pixels? It Takes Half: On the Token Efficiency of Visual Text Inputs in Multimodal LLMs

๐Ÿ”น Publication Date: Published on Oct 21

๐Ÿ”น Paper Links:
โ€ข arXiv Page: https://arxiv.org/abs/2510.18279
โ€ข PDF: https://arxiv.org/pdf/2510.18279
โ€ข Github: https://github.com/yanhong-lbh/text_or_pixels

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๐Ÿ”น Title: Every Question Has Its Own Value: Reinforcement Learning with Explicit Human Values

๐Ÿ”น Publication Date: Published on Oct 23

๐Ÿ”น Paper Links:
โ€ข arXiv Page: https://arxiv.org/abs/2510.20187
โ€ข PDF: https://arxiv.org/pdf/2510.20187

๐Ÿ”น Datasets citing this paper:
โ€ข https://huggingface.co/datasets/sarosavo/RLEV

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๐Ÿ”น Title: HoloCine: Holistic Generation of Cinematic Multi-Shot Long Video Narratives

๐Ÿ”น Publication Date: Published on Oct 23

๐Ÿ”น Paper Links:
โ€ข arXiv Page: https://arxiv.org/abs/2510.20822
โ€ข PDF: https://arxiv.org/pdf/2510.20822
โ€ข Project Page: https://holo-cine.github.io

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๐Ÿ”น Title: LayerComposer: Interactive Personalized T2I via Spatially-Aware Layered Canvas

๐Ÿ”น Publication Date: Published on Oct 23

๐Ÿ”น Paper Links:
โ€ข arXiv Page: https://arxiv.org/abs/2510.20820
โ€ข PDF: https://arxiv.org/pdf/2510.20820
โ€ข Project Page: https://snap-research.github.io/layercomposer/

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๐Ÿ”น Title: AlphaFlow: Understanding and Improving MeanFlow Models

๐Ÿ”น Publication Date: Published on Oct 23

๐Ÿ”น Paper Links:
โ€ข arXiv Page: https://arxiv.org/abs/2510.20771
โ€ข PDF: https://arxiv.org/pdf/2510.20771
โ€ข Github: https://github.com/snap-research/alphaflow

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๐Ÿ”น Title: Open-o3 Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence

๐Ÿ”น Publication Date: Published on Oct 23

๐Ÿ”น Paper Links:
โ€ข arXiv Page: https://arxiv.org/abs/2510.20579
โ€ข PDF: https://arxiv.org/pdf/2510.20579
โ€ข Project Page: https://marinero4972.github.io/projects/Open-o3-Video/

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