🔹 Title: Bridging Reasoning to Learning: Unmasking Illusions using Complexity Out of Distribution Generalization

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06274
• PDF: https://arxiv.org/pdf/2510.06274

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🔹 Title: Adaptive Attacks on Trusted Monitors Subvert AI Control Protocols

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09462
• PDF: https://arxiv.org/pdf/2510.09462

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🔹 Title: KORMo: Korean Open Reasoning Model for Everyone

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09426
• PDF: https://arxiv.org/pdf/2510.09426

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/KORMo-Team/IF-bilingual-sft
• https://huggingface.co/datasets/KORMo-Team/Cosmopedia-ko-synth
• https://huggingface.co/datasets/KORMo-Team/UltraFineWeb-ko-synth
• https://huggingface.co/datasets/KORMo-Team/OpenCodeReasoning-ko-synth

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🔹 Title: Which Heads Matter for Reasoning? RL-Guided KV Cache Compression

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08525
• PDF: https://arxiv.org/pdf/2510.08525

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🔹 Title: Hybrid-grained Feature Aggregation with Coarse-to-fine Language Guidance for Self-supervised Monocular Depth Estimation

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2510.09320%5D
• PDF: https://arxiv.org/pdf/2510.09320
• Github: https://github.com/Zhangwenyao1/Hybrid-depth%5D

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🔹 Title: Formalizing Style in Personal Narratives

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08649
• PDF: https://arxiv.org/pdf/2510.08649

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🔹 Title: LLM4Cell: A Survey of Large Language and Agentic Models for Single-Cell Biology

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07793
• PDF: https://arxiv.org/pdf/2510.07793

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🔹 Title: ELMUR: External Layer Memory with Update/Rewrite for Long-Horizon RL

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07151
• PDF: https://arxiv.org/pdf/2510.07151
• Project Page: https://elmur-paper.github.io/
• Github: https://github.com/CognitiveAISystems/RATE

🔹 Datasets citing this paper:
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🔹 Title: LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07962
• PDF: https://arxiv.org/pdf/2510.07962

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🔹 Title: MONKEY: Masking ON KEY-Value Activation Adapter for Personalization

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07656
• PDF: https://arxiv.org/pdf/2510.07656

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🤖🧠 Ultimate OpenTSLM: Stanford’s Open-Source Framework Bridging LLMs and Medical Time-Series Data

🗓️ 13 Oct 2025
📚 AI News & Trends

In recent years, artificial intelligence (AI) has made remarkable strides in transforming healthcare. From medical imaging to patient monitoring systems, AI-driven solutions are reshaping how clinicians diagnose, treat and manage diseases. One of the most promising developments in this space is the integration of large language models (LLMs) with time-series data, a combination that holds ...

#OpenTSLM #LLMs #MedicalAI #TimeSeriesData #ArtificialIntelligence #OpenSourceFramework

🔹 Title: BEAR: Benchmarking and Enhancing Multimodal Language Models for Atomic Embodied Capabilities

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08759
• PDF: https://arxiv.org/pdf/2510.08759
• Project Page: https://bear-official66.github.io/
• Github: https://github.com/yqi19/BEAR-official

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🔹 Title: ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix Factorization

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05528
• PDF: https://arxiv.org/pdf/2510.05528

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🔹 Title: How to Teach Large Multimodal Models New Skills

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08564
• PDF: https://arxiv.org/pdf/2510.08564
• Project Page: https://huggingface.co/papers?q=Down%20projection
• Github: https://github.com/jessemelpolio/LMM_CL

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🤖🧠 Jio AI Classroom: Learn Artificial Intelligence for Free with Jio Institute & JioPC App

🗓️ 13 Oct 2025
📚 AI News & Trends

Artificial Intelligence (AI) is redefining industries across the globe from healthcare to education, finance and beyond. But for millions of learners in India, access to high-quality AI education has often been limited by cost and technical barriers. Bridging this gap, Jio Institute in collaboration with JioPC App has launched a unique free online AI learning ...

#JioAIClassroom #ArtificialIntelligence #FreeAIEducation #JioInstitute #JioPCApp #AILearning

🔹 Title: FinAuditing: A Financial Taxonomy-Structured Multi-Document Benchmark for Evaluating LLMs

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08886
• PDF: https://arxiv.org/pdf/2510.08886

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🔹 Title: AdaViewPlanner: Adapting Video Diffusion Models for Viewpoint Planning in 4D Scenes

🔹 Publication Date: Published on Oct 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.10670
• PDF: https://arxiv.org/pdf/2510.10670
• Project Page: https://yuli0103.github.io/AdaViewPlanner/

🔹 Datasets citing this paper:
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🔹 Title: Self-Improving LLM Agents at Test-Time

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07841
• PDF: https://arxiv.org/pdf/2510.07841

🔹 Datasets citing this paper:
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🔹 Title: PEAR: Phase Entropy Aware Reward for Efficient Reasoning

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08026
• PDF: https://arxiv.org/pdf/2510.08026
• Github: https://github.com/iNLP-Lab/PEAR

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🔹 Title: Pathology-CoT: Learning Visual Chain-of-Thought Agent from Expert Whole Slide Image Diagnosis Behavior

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04587
• PDF: https://arxiv.org/pdf/2510.04587

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🔹 Title: Demystifying Reinforcement Learning in Agentic Reasoning

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11701
• PDF: https://arxiv.org/pdf/2510.11701
• Project Page: https://huggingface.co/collections/Gen-Verse/open-agentrl-68eda4c05755ca5a8c663656
• Github: https://github.com/Gen-Verse/Open-AgentRL

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/Gen-Verse/Open-AgentRL-SFT-3K
• https://huggingface.co/datasets/Gen-Verse/Open-AgentRL-30K

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