🔹 Title: InstructX: Towards Unified Visual Editing with MLLM Guidance

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2510.08485
• PDF: https://arxiv.org/pdf/2510.08485
• Project Page: https://mc-e.github.io/project/InstructX/
• Github: https://github.com/MC-E/InstructX

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🔹 Title: From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning

🔹 Publication Date: Published on Sep 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23768
• PDF: https://arxiv.org/pdf/2509.23768

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🔹 Title: MemMamba: Rethinking Memory Patterns in State Space Model

🔹 Publication Date: Published on Sep 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.03279
• PDF: https://arxiv.org/pdf/2510.03279

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🔹 Title: Towards Scalable and Consistent 3D Editing

🔹 Publication Date: Published on Oct 3

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.02994
• PDF: https://arxiv.org/pdf/2510.02994
• Project Page: https://www.lv-lab.org/3DEditFormer/
• Github: https://github.com/LVLab-SMU/3DEditFormer

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🔹 Title: CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08529
• PDF: https://arxiv.org/pdf/2510.08529
• Github: https://github.com/xxyQwQ/CoMAS

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🔹 Title: Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08002
• PDF: https://arxiv.org/pdf/2510.08002

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🔹 Title: Memory Retrieval and Consolidation in Large Language Models through Function Tokens

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08203
• PDF: https://arxiv.org/pdf/2510.08203

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🔹 Title: Fidelity-Aware Data Composition for Robust Robot Generalization

🔹 Publication Date: Published on Sep 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24797
• PDF: https://arxiv.org/pdf/2509.24797

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🔹 Title: Beyond Outliers: A Study of Optimizers Under Quantization

🔹 Publication Date: Published on Sep 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23500
• PDF: https://arxiv.org/pdf/2509.23500

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🔹 Title: Taming Text-to-Sounding Video Generation via Advanced Modality Condition and Interaction

🔹 Publication Date: Published on Oct 3

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.03117
• PDF: https://arxiv.org/pdf/2510.03117
• Project Page: https://bridgedit-t2sv.github.io/

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🔹 Title: Search-R3: Unifying Reasoning and Embedding Generation in Large Language Models

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07048
• PDF: https://arxiv.org/pdf/2510.07048
• Github: https://github.com/ytgui/Search-R3

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🔹 Title: GCPO: When Contrast Fails, Go Gold

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07790
• PDF: https://arxiv.org/pdf/2510.07790
• Github: https://github.com/AchoWu/GCPO

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🔹 Title: SViM3D: Stable Video Material Diffusion for Single Image 3D Generation

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08271
• PDF: https://arxiv.org/pdf/2510.08271

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🔹 Title: GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07314
• PDF: https://arxiv.org/pdf/2510.07314

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🔹 Title: Drive&Gen: Co-Evaluating End-to-End Driving and Video Generation Models

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06209
• PDF: https://arxiv.org/pdf/2510.06209

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🔹 Title: OmniRetarget: Interaction-Preserving Data Generation for Humanoid Whole-Body Loco-Manipulation and Scene Interaction

🔹 Publication Date: Published on Sep 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26633
• PDF: https://arxiv.org/pdf/2509.26633
• Project Page: https://omniretarget.github.io/

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🔹 Title: DreamOmni2: Multimodal Instruction-based Editing and Generation

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06679
• PDF: https://arxiv.org/pdf/2510.06679
• Project Page: https://pbihao.github.io/projects/DreamOmni2/index.html
• Github: https://github.com/dvlab-research/DreamOmni2

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🔹 Title: Use the Online Network If You Can: Towards Fast and Stable Reinforcement Learning

🔹 Publication Date: Published on Oct 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.02590
• PDF: https://arxiv.org/pdf/2510.02590

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🔹 Title: OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07743
• PDF: https://arxiv.org/pdf/2510.07743

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🤖🧠 Join the 5-Day AI Agents Intensive Course with Google

🗓️ 07 Oct 2025
📚 AI News & Trends

Artificial Intelligence is rapidly evolving beyond chatbots and text generation. The next frontier is AI agents — intelligent, autonomous systems that can reason, take action and collaborate with tools and other agents. To help developers and practitioners build these next-generation systems, Google is launching the 5-Day AI Agents Intensive, a no-cost, online program running from ...

#aiagents #dayai #googleartificial #agentsintelligent #ai #evolvingchatbots

🤖🧠 Cognee: Powerful Memory for AI Agents in Just 6 Lines of Code

🗓️ 07 Oct 2025
📚 AI News & Trends

Artificial Intelligence is evolving rapidly, but one of the biggest challenges for developers is building agents that remember, reason and adapt. Traditional RAG (Retrieval-Augmented Generation) systems often fall short when handling context, scalability and precision. That’s where Cognee comes in. It is an open-source framework designed to provide AI agents with memory using a unique ...

#AI #Memory #AIAgents #OpenSource #RAG #ArtificialIntelligence