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: VLM-FO1: Bridging the Gap Between High-Level Reasoning and Fine-Grained Perception in VLMs

🔹 Publication Date: Published on Sep 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25916
• PDF: https://arxiv.org/pdf/2509.25916

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🔹 Title: Hyperdimensional Probe: Decoding LLM Representations via Vector Symbolic Architectures

🔹 Publication Date: Published on Sep 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25045
• PDF: https://arxiv.org/pdf/2509.25045
• Github: https://github.com/Ipazia-AI/hyperprobe

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🔹 Title: PIPer: On-Device Environment Setup via Online Reinforcement Learning

🔹 Publication Date: Published on Sep 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25455
• PDF: https://arxiv.org/pdf/2509.25455
• Github: https://github.com/JetBrains-Research/PIPer

🔹 Datasets citing this paper:
https://huggingface.co/datasets/JetBrains-Research/PIPer-envbench-zeroshot-rl
https://huggingface.co/datasets/JetBrains-Research/PIPer-SFT-2500-sharegpt

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🔹 Title: BindWeave: Subject-Consistent Video Generation via Cross-Modal Integration

🔹 Publication Date: Published on Oct 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00438
• PDF: https://arxiv.org/pdf/2510.00438
• Project Page: https://lzy-dot.github.io/BindWeave/
• Github: https://lzy-dot.github.io/BindWeave

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🔹 Title: It Takes Two: Your GRPO Is Secretly DPO

🔹 Publication Date: Published on Oct 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00977
• PDF: https://arxiv.org/pdf/2510.00977

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🔹 Title: SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22944
• PDF: https://arxiv.org/pdf/2509.22944
• Project Page: https://github.com/huawei-csl/SINQ
• Github: https://github.com/huawei-csl/SINQ

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🔹 Title: QUASAR: Quantum Assembly Code Generation Using Tool-Augmented LLMs via Agentic RL

🔹 Publication Date: Published on Oct 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00967
• PDF: https://arxiv.org/pdf/2510.00967
• Github: https://github.com/benyucong/QUASAR

🔹 Datasets citing this paper:
https://huggingface.co/datasets/Benyucong/graph-data-quantum-rl

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🔹 Title: EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing

🔹 Publication Date: Published on Sep 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26346
• PDF: https://arxiv.org/pdf/2509.26346

🔹 Datasets citing this paper:
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🔹 Title: TGPO: Temporal Grounded Policy Optimization for Signal Temporal Logic Tasks

🔹 Publication Date: Published on Sep 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00225
• PDF: https://arxiv.org/pdf/2510.00225

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🔹 Title: MixtureVitae: Open Web-Scale Pretraining Dataset With High Quality Instruction and Reasoning Data Built from Permissive-First Text Sources

🔹 Publication Date: Published on Sep 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25531
• PDF: https://arxiv.org/pdf/2509.25531

🔹 Datasets citing this paper:
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🔹 Title: BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs

🔹 Publication Date: Published on Sep 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26514
• PDF: https://arxiv.org/pdf/2509.26514
• Github: https://github.com/Tencent/digitalhuman/tree/main/BatonVoice

🔹 Datasets citing this paper:
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🔹 Spaces citing this paper:
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🔹 Title: Pay-Per-Search Models are Abstention Models

🔹 Publication Date: Published on Oct 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.01152
• PDF: https://arxiv.org/pdf/2510.01152

🔹 Datasets citing this paper:
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🔹 Title: Aligning Visual Foundation Encoders to Tokenizers for Diffusion Models

🔹 Publication Date: Published on Sep 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25162
• PDF: https://arxiv.org/pdf/2509.25162
• Github: https://aligntok.github.io/

🔹 Datasets citing this paper:
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🔹 Title: Interactive Training: Feedback-Driven Neural Network Optimization

🔹 Publication Date: Published on Oct 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.02297
• PDF: https://arxiv.org/pdf/2510.02297

🔹 Datasets citing this paper:
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🔹 Title: CLUE: Non-parametric Verification from Experience via Hidden-State Clustering

🔹 Publication Date: Published on Oct 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.01591
• PDF: https://arxiv.org/pdf/2510.01591

🔹 Datasets citing this paper:
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🔹 Title: DragFlow: Unleashing DiT Priors with Region Based Supervision for Drag Editing

🔹 Publication Date: Published on Oct 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.02253
• PDF: https://arxiv.org/pdf/2510.02253

🔹 Datasets citing this paper:
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🔹 Title: VIRTUE: Visual-Interactive Text-Image Universal Embedder

🔹 Publication Date: Published on Oct 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00523
• PDF: https://arxiv.org/pdf/2510.00523

🔹 Datasets citing this paper:
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🔹 Title: MedQ-Bench: Evaluating and Exploring Medical Image Quality Assessment Abilities in MLLMs

🔹 Publication Date: Published on Oct 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.01691
• PDF: https://arxiv.org/pdf/2510.01691

🔹 Datasets citing this paper:
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🔹 Title: TOUCAN: Synthesizing 1.5M Tool-Agentic Data from Real-World MCP Environments

🔹 Publication Date: Published on Oct 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.01179
• PDF: https://arxiv.org/pdf/2510.01179
• Github: https://github.com/TheAgentArk/Toucan

🔹 Datasets citing this paper:
https://huggingface.co/datasets/Agent-Ark/Toucan-1.5M

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🔹 Title: Transformers Discover Molecular Structure Without Graph Priors

🔹 Publication Date: Published on Oct 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.02259
• PDF: https://arxiv.org/pdf/2510.02259
• Project Page: https://tkreiman.github.io/projects/graph-free-transformers/

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