🔹 Title: Document Understanding, Measurement, and Manipulation Using Category Theory

🔹 Publication Date: Published on Oct 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.21553
• PDF: https://arxiv.org/pdf/2510.21553

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🔹 Title: RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging

🔹 Publication Date: Published on Oct 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.20479
• PDF: https://arxiv.org/pdf/2510.20479

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🔹 Title: Map the Flow: Revealing Hidden Pathways of Information in VideoLLMs

🔹 Publication Date: Published on Oct 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.13251
• PDF: https://arxiv.org/pdf/2510.13251
• Project Page: https://map-the-flow.github.io
• Github: https://github.com/byminji/map-the-flow

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🔹 Title: RAPO++: Cross-Stage Prompt Optimization for Text-to-Video Generation via Data Alignment and Test-Time Scaling

🔹 Publication Date: Published on Oct 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.20206
• PDF: https://arxiv.org/pdf/2510.20206
• Project Page: https://whynothaha.github.io/RAPO_plus_github/
• Github: https://github.com/Vchitect/RAPO

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🔹 Title: Sparser Block-Sparse Attention via Token Permutation

🔹 Publication Date: Published on Oct 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.21270
• PDF: https://arxiv.org/pdf/2510.21270
• Github: https://github.com/xinghaow99/pbs-attn

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🔹 Title: Taming Modality Entanglement in Continual Audio-Visual Segmentation

🔹 Publication Date: Published on Oct 20

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17234
• PDF: https://arxiv.org/pdf/2510.17234

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🔹 Title: Reasoning with Sampling: Your Base Model is Smarter Than You Think

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14901
• PDF: https://arxiv.org/pdf/2510.14901
• Project Page: https://aakaran.github.io/reasoning_with_sampling/
• Github: https://github.com/aakaran/reasoning-with-sampling

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🔹 Title: Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost

🔹 Publication Date: Published on Oct 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.20780
• PDF: https://arxiv.org/pdf/2510.20780
• Github: https://github.com/NLP2CT/ThinMQM

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/rzzhan/ThinMQM-12k

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🔹 Title: Sample By Step, Optimize By Chunk: Chunk-Level GRPO For Text-to-Image Generation

🔹 Publication Date: Published on Oct 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.21583
• PDF: https://arxiv.org/pdf/2510.21583

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🔹 Title: PhysVLM-AVR: Active Visual Reasoning for Multimodal Large Language Models in Physical Environments

🔹 Publication Date: Published on Oct 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.21111
• PDF: https://arxiv.org/pdf/2510.21111

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🔹 Title: Soft Instruction De-escalation Defense

🔹 Publication Date: Published on Oct 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.21057
• PDF: https://arxiv.org/pdf/2510.21057

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🔹 Title: Foley Control: Aligning a Frozen Latent Text-to-Audio Model to Video

🔹 Publication Date: Published on Oct 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.21581
• PDF: https://arxiv.org/pdf/2510.21581
• Github: https://stability-ai.github.io/foleycontrol.github.io/

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🔹 Title: Stabilizing MoE Reinforcement Learning by Aligning Training and Inference Routers

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11370
• PDF: https://arxiv.org/pdf/2510.11370

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🔹 Title: ALICE-LRI: A General Method for Lossless Range Image Generation for Spinning LiDAR Sensors without Calibration Metadata

🔹 Publication Date: Published on Oct 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.20708
• PDF: https://arxiv.org/pdf/2510.20708
• Project Page: https://alice-lri.github.io/alice-lri/
• Github: https://github.com/alice-lri/alice-lri

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Sepp Hochreiter, who invented LSTM 30+ year ago, gave a keynote talk at Neurips 2024 and introduced xLSTM (Extended Long Short-Term Memory).

I designed this Excel exercise to help you understand how xLSTM works.

More: https://www.byhand.ai/p/xlstm

🤖🧠 Qwen3-VL-8B-Instruct — The Next Generation of Vision-Language Intelligence by Qwen

🗓️ 27 Oct 2025
📚 AI News & Trends

In the rapidly evolving landscape of multimodal AI, Qwen3-VL-8B-Instruct stands out as a groundbreaking leap forward. Developed by Qwen, this model represents the most advanced vision-language (VL) system in the Qwen series to date. As artificial intelligence continues to bridge the gap between text and vision, Qwen3-VL-8B-Instruct emerges as a powerful engine capable of comprehending ...

#Qwen3VL #VisionLanguageAI #MultimodalAI #AISystems #QwenSeries #NextGenAI

🔹 Title: Redefining Retrieval Evaluation in the Era of LLMs

🔹 Publication Date: Published on Oct 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.21440
• PDF: https://arxiv.org/pdf/2510.21440
• Github: https://github.com/GiovanniTRA/UDCG

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🤖🧠 LangExtract by Google: Transforming Unstructured Text into Structured Data with LLM Precision

🗓️ 27 Oct 2025
📚 AI News & Trends

In the world of data-driven decision-making, one of the biggest challenges lies in extracting meaningful insights from unstructured text — documents, reports, emails or articles that lack consistent structure. Manually organizing this information is both time-consuming and prone to errors. Enter LangExtract, an advanced Python library by Google that leverages Large Language Models (LLMs) like ...

#LangExtract #LLM #StructuredData #UnstructuredText #PythonLibrary #GoogleAI

🤖🧠 AI Projects : A Comprehensive Showcase of Machine Learning, Deep Learning and Generative AI

🗓️ 27 Oct 2025
📚 AI News & Trends

Artificial Intelligence (AI) is transforming industries across the globe, driving innovation through automation, data-driven insights and intelligent decision-making. Whether it’s predicting house prices, detecting diseases or building conversational chatbots, AI is at the core of modern digital solutions. The AI Project Gallery by Hema Kalyan Murapaka is an exceptional GitHub repository that curates a wide ...

#AI #MachineLearning #DeepLearning #GenerativeAI #ArtificialIntelligence #GitHub

🤖🧠 Reinforcement Learning for Large Language Models: A Complete Guide from Foundations to Frontiers Arun Shankar, AI Engineer at Google

🗓️ 27 Oct 2025
📚 AI News & Trends

Artificial Intelligence is evolving rapidly and at the center of this evolution is Reinforcement Learning (RL), the science of teaching machines to make better decisions through experience and feedback. In “Reinforcement Learning for Large Language Models: A Complete Guide from Foundations to Frontiers”, Arun Shankar, an Applied AI Engineer at Google presents one of the ...

#ReinforcementLearning #LargeLanguageModels #ArtificialIntelligence #MachineLearning #AIEngineer #Google

🔹 Title: VITA-E: Natural Embodied Interaction with Concurrent Seeing, Hearing, Speaking, and Acting

🔹 Publication Date: Published on Oct 21

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.21817
• PDF: https://arxiv.org/pdf/2510.21817
• Project Page: https://lxysl.github.io/VITA-E/
• Github: https://github.com/Tencent/VITA/tree/VITA-E

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