πΉ Title: Directional Reasoning Injection for Fine-Tuning MLLMs
πΉ Publication Date: Published on Oct 16
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15050
β’ PDF: https://arxiv.org/pdf/2510.15050
β’ Github: https://github.com/WikiChao/DRIFT
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πΉ Publication Date: Published on Oct 16
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15050
β’ PDF: https://arxiv.org/pdf/2510.15050
β’ Github: https://github.com/WikiChao/DRIFT
πΉ Datasets citing this paper:
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πΉ Title: See the Text: From Tokenization to Visual Reading
πΉ Publication Date: Published on Oct 21
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.18840
β’ PDF: https://arxiv.org/pdf/2510.18840
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 21
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.18840
β’ PDF: https://arxiv.org/pdf/2510.18840
πΉ Datasets citing this paper:
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β€1
πΉ Title: DeLeaker: Dynamic Inference-Time Reweighting For Semantic Leakage Mitigation in Text-to-Image Models
πΉ Publication Date: Published on Oct 16
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15015
β’ PDF: https://arxiv.org/pdf/2510.15015
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 16
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15015
β’ PDF: https://arxiv.org/pdf/2510.15015
πΉ Datasets citing this paper:
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πΉ Title: Language Models are Injective and Hence Invertible
πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15511
β’ PDF: https://arxiv.org/pdf/2510.15511
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15511
β’ PDF: https://arxiv.org/pdf/2510.15511
πΉ Datasets citing this paper:
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β€1
πΉ Title: Decomposed Attention Fusion in MLLMs for Training-Free Video Reasoning Segmentation
πΉ Publication Date: Published on Oct 22
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.19592
β’ PDF: https://arxiv.org/pdf/2510.19592
β’ Project Page: https://www.jshyun.me/projects/decaf
β’ Github: https://github.com/HYUNJS/DecAF
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 22
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.19592
β’ PDF: https://arxiv.org/pdf/2510.19592
β’ Project Page: https://www.jshyun.me/projects/decaf
β’ Github: https://github.com/HYUNJS/DecAF
πΉ Datasets citing this paper:
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π€π§ LangGraph by LangChain-AI: The Framework Powering Stateful, Long-Running AI Agents
ποΈ 23 Oct 2025
π 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. Thatβs where LangGraph from LangChain-AI steps in. Trusted by ...
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ποΈ 23 Oct 2025
π 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. Thatβs where LangGraph from LangChain-AI steps in. Trusted by ...
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π€π§ Master Machine Learning: Explore the Ultimate βMachine-Learning-Tutorialsβ Repository
ποΈ 23 Oct 2025
π AI News & Trends
In todayβs 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 isnβt just about coding, it requires a structured understanding of algorithms, statistics, optimization techniques and real-world problem-solving. Thatβs where Ujjwal Karnβs Machine-Learning-Tutorials GitHub repository stands out. This open-source, topic-wise ...
#MachineLearning #MLTutorials #ArtificialIntelligence #DataScience #OpenSource #AIEducation
ποΈ 23 Oct 2025
π AI News & Trends
In todayβs 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 isnβt just about coding, it requires a structured understanding of algorithms, statistics, optimization techniques and real-world problem-solving. Thatβs where Ujjwal Karnβs Machine-Learning-Tutorials GitHub repository stands out. This open-source, topic-wise ...
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πΉ Title: What Questions Should Robots Be Able to Answer? A Dataset of User Questions for Explainable Robotics
πΉ Publication Date: Published on Oct 18
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.16435
β’ PDF: https://arxiv.org/pdf/2510.16435
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/lwachowiak/xai-questions-dataset
πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 18
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.16435
β’ PDF: https://arxiv.org/pdf/2510.16435
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/lwachowiak/xai-questions-dataset
πΉ Spaces citing this paper:
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πΉ Title: Steering Autoregressive Music Generation with Recursive Feature Machines
πΉ Publication Date: Published on Oct 21
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.19127
β’ PDF: https://arxiv.org/pdf/2510.19127
β’ Github: https://github.com/astradzhao/music-rfm
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 21
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.19127
β’ PDF: https://arxiv.org/pdf/2510.19127
β’ Github: https://github.com/astradzhao/music-rfm
πΉ Datasets citing this paper:
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πΉ Title: SAVANT: Semantic Analysis with Vision-Augmented Anomaly deTection
πΉ Publication Date: Published on Oct 20
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.18034
β’ PDF: https://arxiv.org/pdf/2510.18034
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 20
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.18034
β’ PDF: https://arxiv.org/pdf/2510.18034
πΉ Datasets citing this paper:
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πΉ Title: Accelerating Vision Transformers with Adaptive Patch Sizes
πΉ Publication Date: Published on Oct 20
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.18091
β’ PDF: https://arxiv.org/pdf/2510.18091
β’ Github: https://github.com/rccchoudhury/apt
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 20
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.18091
β’ PDF: https://arxiv.org/pdf/2510.18091
β’ Github: https://github.com/rccchoudhury/apt
πΉ Datasets citing this paper:
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πΉ Title: Text or Pixels? It Takes Half: On the Token Efficiency of Visual Text Inputs in Multimodal LLMs
πΉ Publication Date: Published on Oct 21
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.18279
β’ PDF: https://arxiv.org/pdf/2510.18279
β’ Github: https://github.com/yanhong-lbh/text_or_pixels
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 21
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.18279
β’ PDF: https://arxiv.org/pdf/2510.18279
β’ Github: https://github.com/yanhong-lbh/text_or_pixels
πΉ Datasets citing this paper:
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πΉ Title: Every Question Has Its Own Value: Reinforcement Learning with Explicit Human Values
πΉ Publication Date: Published on Oct 23
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.20187
β’ PDF: https://arxiv.org/pdf/2510.20187
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/sarosavo/RLEV
πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 23
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.20187
β’ PDF: https://arxiv.org/pdf/2510.20187
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/sarosavo/RLEV
πΉ Spaces citing this paper:
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πΉ Title: HoloCine: Holistic Generation of Cinematic Multi-Shot Long Video Narratives
πΉ Publication Date: Published on Oct 23
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.20822
β’ PDF: https://arxiv.org/pdf/2510.20822
β’ Project Page: https://holo-cine.github.io
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 23
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.20822
β’ PDF: https://arxiv.org/pdf/2510.20822
β’ Project Page: https://holo-cine.github.io
πΉ Datasets citing this paper:
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πΉ Title: LayerComposer: Interactive Personalized T2I via Spatially-Aware Layered Canvas
πΉ Publication Date: Published on Oct 23
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.20820
β’ PDF: https://arxiv.org/pdf/2510.20820
β’ Project Page: https://snap-research.github.io/layercomposer/
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 23
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.20820
β’ PDF: https://arxiv.org/pdf/2510.20820
β’ Project Page: https://snap-research.github.io/layercomposer/
πΉ Datasets citing this paper:
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πΉ Title: AlphaFlow: Understanding and Improving MeanFlow Models
πΉ Publication Date: Published on Oct 23
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.20771
β’ PDF: https://arxiv.org/pdf/2510.20771
β’ Github: https://github.com/snap-research/alphaflow
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 23
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.20771
β’ PDF: https://arxiv.org/pdf/2510.20771
β’ Github: https://github.com/snap-research/alphaflow
πΉ Datasets citing this paper:
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πΉ Title: Open-o3 Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence
πΉ Publication Date: Published on Oct 23
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.20579
β’ PDF: https://arxiv.org/pdf/2510.20579
β’ Project Page: https://marinero4972.github.io/projects/Open-o3-Video/
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 23
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.20579
β’ PDF: https://arxiv.org/pdf/2510.20579
β’ Project Page: https://marinero4972.github.io/projects/Open-o3-Video/
πΉ Datasets citing this paper:
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πΉ Title: Loopholing Discrete Diffusion: Deterministic Bypass of the Sampling Wall
πΉ Publication Date: Published on Oct 22
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.19304
β’ PDF: https://arxiv.org/pdf/2510.19304
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 22
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.19304
β’ PDF: https://arxiv.org/pdf/2510.19304
πΉ Datasets citing this paper:
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πΉ Title: ImpossibleBench: Measuring LLMs' Propensity of Exploiting Test Cases
πΉ Publication Date: Published on Oct 23
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.20270
β’ PDF: https://arxiv.org/pdf/2510.20270
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 23
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.20270
β’ PDF: https://arxiv.org/pdf/2510.20270
πΉ Datasets citing this paper:
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πΉ Title: ARGenSeg: Image Segmentation with Autoregressive Image Generation Model
πΉ Publication Date: Published on Oct 23
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.20803
β’ PDF: https://arxiv.org/pdf/2510.20803
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 23
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.20803
β’ PDF: https://arxiv.org/pdf/2510.20803
πΉ Datasets citing this paper:
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πΉ Title: Human-Agent Collaborative Paper-to-Page Crafting for Under $0.1
πΉ Publication Date: Published on Oct 22
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.19600
β’ PDF: https://arxiv.org/pdf/2510.19600
β’ Project Page: https://mqleet.github.io/AutoPage_ProjectPage
β’ Github: https://github.com/AutoLab-SAI-SJTU/AutoPage
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 22
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.19600
β’ PDF: https://arxiv.org/pdf/2510.19600
β’ Project Page: https://mqleet.github.io/AutoPage_ProjectPage
β’ Github: https://github.com/AutoLab-SAI-SJTU/AutoPage
πΉ Datasets citing this paper:
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