🔹 Title: Robot Learning: A Tutorial

🔹 Publication Date: Published on Oct 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12403
• PDF: https://arxiv.org/pdf/2510.12403

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🔹 Title: Information-Preserving Reformulation of Reasoning Traces for Antidistillation

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11545
• PDF: https://arxiv.org/pdf/2510.11545

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🔹 Title: ReFIne: A Framework for Trustworthy Large Reasoning Models with Reliability, Faithfulness, and Interpretability

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09062
• PDF: https://arxiv.org/pdf/2510.09062
• Github: https://github.com/Trustworthy-ML-Lab/Training_Trustworthy_LRM_with_Refine

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🔹 Title: Tensor Logic: The Language of AI

🔹 Publication Date: Published on Oct 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12269
• PDF: https://arxiv.org/pdf/2510.12269
• Project Page: https://tensor-logic.org/

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🔹 Title: SynthID-Image: Image watermarking at internet scale

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09263
• PDF: https://arxiv.org/pdf/2510.09263

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🔹 Title: R-WoM: Retrieval-augmented World Model For Computer-use Agents

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2510.11892
• PDF: https://arxiv.org/pdf/2510.11892

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🔹 Title: Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity

🔹 Publication Date: Published on Oct 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.01171
• PDF: https://arxiv.org/pdf/2510.01171
• Project Page: https://www.verbalized-sampling.com/
• Github: https://github.com/CHATS-lab/verbalized-sampling

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🔹 Title: RAG-Anything: All-in-One RAG Framework

🔹 Publication Date: Published on Oct 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12323
• PDF: https://arxiv.org/pdf/2510.12323

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🔹 Title: Deep Research Brings Deeper Harm

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11851
• PDF: https://arxiv.org/pdf/2510.11851

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🔹 Title: Bag of Tricks for Subverting Reasoning-based Safety Guardrails

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11570
• PDF: https://arxiv.org/pdf/2510.11570

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🔹 Title: dInfer: An Efficient Inference Framework for Diffusion Language Models

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08666
• PDF: https://arxiv.org/pdf/2510.08666

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🔹 Title: Deconstructing Attention: Investigating Design Principles for Effective Language Modeling

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11602
• PDF: https://arxiv.org/pdf/2510.11602

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🔹 Title: SR-Scientist: Scientific Equation Discovery With Agentic AI

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11661
• PDF: https://arxiv.org/pdf/2510.11661

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/GAIR/SR-Scientist

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🔹 Title: Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09259
• PDF: https://arxiv.org/pdf/2510.09259
• Github: https://github.com/yongding-tao/RL-Data-Contamination

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🔹 Title: Cautious Weight Decay

🔹 Publication Date: Published on Oct 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12402
• PDF: https://arxiv.org/pdf/2510.12402

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🔹 Title: Diffusion-Link: Diffusion Probabilistic Model for Bridging the Audio-Text Modality Gap

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11330
• PDF: https://arxiv.org/pdf/2510.11330

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🔹 Title: Mitigating the Noise Shift for Denoising Generative Models via Noise Awareness Guidance

🔹 Publication Date: Published on Oct 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12497
• PDF: https://arxiv.org/pdf/2510.12497

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🔹 Title: ContextGen: Contextual Layout Anchoring for Identity-Consistent Multi-Instance Generation

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11000
• PDF: https://arxiv.org/pdf/2510.11000
• Project Page: https://nenhang.github.io/ContextGen/
• Github: https://github.com/nenhang/ContextGen

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🔹 Title: Locket: Robust Feature-Locking Technique for Language Models

🔹 Publication Date: Published on Oct 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12117
• PDF: https://arxiv.org/pdf/2510.12117

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🤖🧠 MinerU2.5 by Shanghai AI Lab, Peking University & Shanghai Jiao Tong University Sets New Standard for AI-Powered Document Parsing

🗓️ 15 Oct 2025
📚 AI News & Trends

In the world of digital transformation, the ability to accurately extract and interpret information from complex documents is becoming increasingly essential. Whether for academic research, financial analysis or enterprise automation, document parsing – the process of converting structured and unstructured document data into machine-readable formats plays a vital role. Enter MinerU2.5, a groundbreaking vision-language model ...

🔹 Title: The Geometry of Reasoning: Flowing Logics in Representation Space

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09782
• PDF: https://arxiv.org/pdf/2510.09782
• Github: https://github.com/MasterZhou1/Reasoning-Flow

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/MasterZhou/Reasoning-Flow

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