ML Research Hub – Telegram
ML Research Hub
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Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.

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🔹 Title: SciVideoBench: Benchmarking Scientific Video Reasoning in Large Multimodal Models

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08559
• PDF: https://arxiv.org/pdf/2510.08559
• Project Page: https://scivideobench.github.io/
• Github: https://github.com/dengandong/SciVideoBench

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🔹 Title: Entropy Regularizing Activation: Boosting Continuous Control, Large Language Models, and Image Classification with Activation as Entropy Constraints

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08549
• PDF: https://arxiv.org/pdf/2510.08549
• Project Page: https://nothingbutbut.github.io/era/
• Github: https://github.com/nothingbutbut/era

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🔹 Title: Reinforcing Diffusion Models by Direct Group Preference Optimization

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08425
• PDF: https://arxiv.org/pdf/2510.08425

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🔹 Title: Training-Free Group Relative Policy Optimization

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08191
• PDF: https://arxiv.org/pdf/2510.08191
• Github: https://github.com/TencentCloudADP/youtu-agent/tree/training_free_GRPO

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🔹 Title: UniMMVSR: A Unified Multi-Modal Framework for Cascaded Video Super-Resolution

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08143
• PDF: https://arxiv.org/pdf/2510.08143
• Project Page: https://shiandu.github.io/UniMMVSR-website/

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🔹 Title: A^2Search: Ambiguity-Aware Question Answering with Reinforcement Learning

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07958
• PDF: https://arxiv.org/pdf/2510.07958
• Github: https://github.com/zfj1998/A2Search

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🔹 Title: Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07242
• PDF: https://arxiv.org/pdf/2510.07242

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🔹 Title: The Alignment Waltz: Jointly Training Agents to Collaborate for Safety

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08240
• PDF: https://arxiv.org/pdf/2510.08240

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🔹 Title: ARTDECO: Towards Efficient and High-Fidelity On-the-Fly 3D Reconstruction with Structured Scene Representation

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08551
• PDF: https://arxiv.org/pdf/2510.08551
• Github: https://city-super.github.io/artdeco/

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🔹 Title: When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07499
• PDF: https://arxiv.org/pdf/2510.07499

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🔹 Title: Beyond Turn Limits: Training Deep Search Agents with Dynamic Context Window

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08276
• PDF: https://arxiv.org/pdf/2510.08276

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🔹 Title: DexNDM: Closing the Reality Gap for Dexterous In-Hand Rotation via Joint-Wise Neural Dynamics Model

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08556
• PDF: https://arxiv.org/pdf/2510.08556
• Github: https://meowuu7.github.io/DexNDM/

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🔹 Title: LLMs Learn to Deceive Unintentionally: Emergent Misalignment in Dishonesty from Misaligned Samples to Biased Human-AI Interactions

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08211
• PDF: https://arxiv.org/pdf/2510.08211

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🔹 Title: Meta-Awareness Enhances Reasoning Models: Self-Alignment Reinforcement Learning

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.03259
• PDF: https://arxiv.org/pdf/2510.03259
• Github: https://github.com/akatigre/MASA-RL/tree/main

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🔹 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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