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: Real-Time Object Detection Meets DINOv3

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.20787
• PDF: https://arxiv.org/pdf/2509.20787
• Project Page: https://intellindust-ai-lab.github.io/projects/DEIMv2/
• Github: https://github.com/Intellindust-AI-Lab/DEIMv2

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🔹 Title: HiGS: History-Guided Sampling for Plug-and-Play Enhancement of Diffusion Models

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22300
• PDF: https://arxiv.org/pdf/2509.22300

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🔹 Title: PromptCoT 2.0: Scaling Prompt Synthesis for Large Language Model Reasoning

🔹 Publication Date: Published on Sep 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.19894
• PDF: https://arxiv.org/pdf/2509.19894
• Github: https://github.com/inclusionAI/PromptCoT

🔹 Datasets citing this paper:
https://huggingface.co/datasets/xl-zhao/PromptCoT-2.0-SFT-4.8M
https://huggingface.co/datasets/xl-zhao/PromptCoT-2.0-SelfPlay-4B-48K
https://huggingface.co/datasets/xl-zhao/PromptCoT-2.0-SelfPlay-30B-11K

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🔹 Title: Instruction-Following Evaluation in Function Calling for Large Language Models

🔹 Publication Date: Published on Sep 22

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.18420
• PDF: https://arxiv.org/pdf/2509.18420
• Github: https://github.com/Skripkon/IFEval-FC

🔹 Datasets citing this paper:
https://huggingface.co/datasets/NikolaiSkripko/IFEval-FC

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🔹 Title: TUN3D: Towards Real-World Scene Understanding from Unposed Images

🔹 Publication Date: Published on Sep 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21388
• PDF: https://arxiv.org/pdf/2509.21388
• Project Page: https://bulatko.github.io/tun3d/
• Github: https://github.com/col14m/TUN3D

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🔹 Title: ERGO: Efficient High-Resolution Visual Understanding for Vision-Language Models

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21991
• PDF: https://arxiv.org/pdf/2509.21991
• Github: https://github.com/nota-github/ERGO

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🔹 Title: Fine-tuning Done Right in Model Editing

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22072
• PDF: https://arxiv.org/pdf/2509.22072

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🔹 Title: Finding 3D Positions of Distant Objects from Noisy Camera Movement and Semantic Segmentation Sequences

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.20906
• PDF: https://arxiv.org/pdf/2509.20906

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🔹 Title: CAD-Tokenizer: Towards Text-based CAD Prototyping via Modality-Specific Tokenization

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21150
• PDF: https://arxiv.org/pdf/2509.21150

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🔹 Title: Scale-Wise VAR is Secretly Discrete Diffusion

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22636
• PDF: https://arxiv.org/pdf/2509.22636
• Project Page: https://virobo-15.github.io/srdd.github.io/

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🔹 Title: COSPADI: Compressing LLMs via Calibration-Guided Sparse Dictionary Learning

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22075
• PDF: https://arxiv.org/pdf/2509.22075

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🔹 Title: The role of synthetic data in Multilingual, Multi-cultural AI systems: Lessons from Indic Languages

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21294
• PDF: https://arxiv.org/pdf/2509.21294

🔹 Datasets citing this paper:
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🔹 Title: RLBFF: Binary Flexible Feedback to bridge between Human Feedback & Verifiable Rewards

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21319
• PDF: https://arxiv.org/pdf/2509.21319

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🔹 Title: Alignment through Meta-Weighted Online Sampling: Bridging the Gap between Data Generation and Preference Optimization

🔹 Publication Date: Published on Sep 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23371
• PDF: https://arxiv.org/pdf/2509.23371

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🔹 Title: SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention

🔹 Publication Date: Published on Sep 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24006
• PDF: https://arxiv.org/pdf/2509.24006
• Github: https://github.com/thu-ml/SLA

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🔹 Title: Multiplayer Nash Preference Optimization

🔹 Publication Date: Published on Sep 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23102
• PDF: https://arxiv.org/pdf/2509.23102
• Github: https://github.com/smiles724/MNPO

🔹 Datasets citing this paper:
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🔹 Title: EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward Modeling

🔹 Publication Date: Published on Sep 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23909
• PDF: https://arxiv.org/pdf/2509.23909
• Github: https://github.com/VectorSpaceLab/EditScore

🔹 Datasets citing this paper:
https://huggingface.co/datasets/EditScore/EditReward-Bench

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🔹 Title: SparseD: Sparse Attention for Diffusion Language Models

🔹 Publication Date: Published on Sep 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24014
• PDF: https://arxiv.org/pdf/2509.24014
• Github: https://github.com/INV-WZQ/SparseD

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🔹 Title: AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play

🔹 Publication Date: Published on Sep 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24193
• PDF: https://arxiv.org/pdf/2509.24193
• Github: https://github.com/ritaranx/AceSearcher/

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🔹 Title: MultiCrafter: High-Fidelity Multi-Subject Generation via Spatially Disentangled Attention and Identity-Aware Reinforcement Learning

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21953
• PDF: https://arxiv.org/pdf/2509.21953
• Project Page: https://wutao-cs.github.io/MultiCrafter/
• Github: https://wutao-cs.github.io/MultiCrafter/

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