🔹 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

🔹 Datasets citing this paper:
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🔹 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

🔹 Spaces citing this paper:
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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

🔹 Spaces citing this paper:
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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

🔹 Datasets citing this paper:
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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

🔹 Datasets citing this paper:
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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

🔹 Datasets citing this paper:
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🔹 Title: Information Gain-based Policy Optimization: A Simple and Effective Approach for Multi-Turn LLM Agents

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14967
• PDF: https://arxiv.org/pdf/2510.14967

🔹 Datasets citing this paper:
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🔹 Title: LaSeR: Reinforcement Learning with Last-Token Self-Rewarding

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14943
• PDF: https://arxiv.org/pdf/2510.14943
• Github: https://github.com/RUCBM/LaSeR

🔹 Datasets citing this paper:
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