ML Research Hub – Telegram
ML Research Hub
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🔹 Title: Direct Multi-Token Decoding

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11958
• PDF: https://arxiv.org/pdf/2510.11958

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🔹 Title: Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization

🔹 Publication Date: Published on Oct 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.13554
• PDF: https://arxiv.org/pdf/2510.13554

🔹 Datasets citing this paper:
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🔹 Title: FG-CLIP 2: A Bilingual Fine-grained Vision-Language Alignment Model

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.10921
• PDF: https://arxiv.org/pdf/2510.10921
• Project Page: https://360cvgroup.github.io/FG-CLIP/

🔹 Datasets citing this paper:
https://huggingface.co/datasets/qihoo360/DCI-CN
https://huggingface.co/datasets/qihoo360/BoxClass-CN
https://huggingface.co/datasets/qihoo360/LIT-CN
https://huggingface.co/datasets/qihoo360/DOCCI-CN

🔹 Spaces citing this paper:
https://huggingface.co/spaces/qihoo360/FG-CLIP2-Retrieval-demo
https://huggingface.co/spaces/qihoo360/FG-CLIP2-Densefeature-demo
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🔹 Title: X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model

🔹 Publication Date: Published on Oct 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.10274
• PDF: https://arxiv.org/pdf/2510.10274
• Project Page: https://thu-air-dream.github.io/X-VLA/
• Github: https://github.com/2toinf/X-VLA.git

🔹 Datasets citing this paper:
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🔹 Title: Universal Image Restoration Pre-training via Masked Degradation Classification

🔹 Publication Date: Published on Oct 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.13282
• PDF: https://arxiv.org/pdf/2510.13282
• Project Page: https://github.com/MILab-PKU/MaskDCPT
• Github: https://github.com/MILab-PKU/MaskDCPT

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Contribute with us to expand the services offered in our channel

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This requires preparing an infrastructure for our server and purchasing an API for an AI model.

Contribute to the development of our community with us

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ML Research Hub pinned «Contribute with us to expand the services offered in our channel We plan to use an advanced AI model to add more information about the most prominent events, models, and articles released and provide explanations. This requires preparing an infrastructure…»
🔹 Title: Stronger Together: On-Policy Reinforcement Learning for Collaborative LLMs

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11062
• PDF: https://arxiv.org/pdf/2510.11062
• Project Page: https://pettingllms-ai.github.io/
• Github: https://github.com/pettingllms-ai/PettingLLMs

🔹 Datasets citing this paper:
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🔹 Title: Reasoning in Space via Grounding in the World

🔹 Publication Date: Published on Oct 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.13800
• PDF: https://arxiv.org/pdf/2510.13800
• Project Page: https://yiming-cc.github.io/gs-reasoner/
• Github: https://github.com/WU-CVGL/GS-Reasoner

🔹 Datasets citing this paper:
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🔹 Title: Hierarchical Frequency Tagging Probe (HFTP): A Unified Approach to Investigate Syntactic Structure Representations in Large Language Models and the Human Brain

🔹 Publication Date: Published on Oct 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.13255
• PDF: https://arxiv.org/pdf/2510.13255
• Github: https://github.com/LilTiger/HFTP

🔹 Datasets citing this paper:
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🔹 Title: MATH-Beyond: A Benchmark for RL to Expand Beyond the Base Model

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11653
• PDF: https://arxiv.org/pdf/2510.11653

🔹 Datasets citing this paper:
https://huggingface.co/datasets/brendel-group/MATH-Beyond

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🔹 Title: EAGER: Entropy-Aware GEneRation for Adaptive Inference-Time Scaling

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11170
• PDF: https://arxiv.org/pdf/2510.11170

🔹 Datasets citing this paper:
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🔹 Title: The Art of Scaling Reinforcement Learning Compute for LLMs

🔹 Publication Date: Published on Oct 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.13786
• PDF: https://arxiv.org/pdf/2510.13786

🔹 Datasets citing this paper:
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🔹 Title: Dedelayed: Deleting remote inference delay via on-device correction

🔹 Publication Date: Published on Oct 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.13714
• PDF: https://arxiv.org/pdf/2510.13714

🔹 Datasets citing this paper:
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🔹 Title: What Generative Search Engines Like and How to Optimize Web Content Cooperatively

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2510.11438
• PDF: https://arxiv.org/pdf/2510.11438
• Github: https://github.com/cxcscmu/AutoGEO

🔹 Datasets citing this paper:
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🔹 Title: Evaluating Language Models' Evaluations of Games

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.10930
• PDF: https://arxiv.org/pdf/2510.10930

🔹 Datasets citing this paper:
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🔹 Title: Tracing the Traces: Latent Temporal Signals for Efficient and Accurate Reasoning

🔹 Publication Date: Published on Oct 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.10494
• PDF: https://arxiv.org/pdf/2510.10494

🔹 Datasets citing this paper:
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🔹 Title: Haystack Engineering: Context Engineering for Heterogeneous and Agentic Long-Context Evaluation

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07414
• PDF: https://arxiv.org/pdf/2510.07414
• Github: https://github.com/Graph-COM/HaystackCraft

🔹 Datasets citing this paper:
https://huggingface.co/datasets/Graph-COM/HaystackCraft

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🔹 Title: Learning to Grasp Anything by Playing with Random Toys

🔹 Publication Date: Published on Oct 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12866
• PDF: https://arxiv.org/pdf/2510.12866

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🔹 Title: Don't Throw Away Your Pretrained Model

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09913
• PDF: https://arxiv.org/pdf/2510.09913
• Github: https://github.com/BunsenFeng/switch_generation

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🔹 Title: Less is More: Improving LLM Reasoning with Minimal Test-Time Intervention

🔹 Publication Date: Published on Oct 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.13940
• PDF: https://arxiv.org/pdf/2510.13940
• Github: https://github.com/EnVision-Research/MTI

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