πΉ Title: FG-CLIP 2: A Bilingual Fine-grained Vision-Language Alignment Model
πΉ Publication Date: Published on Oct 13
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.10921
β’ PDF: https://arxiv.org/pdf/2510.10921
β’ Project Page: https://360cvgroup.github.io/FG-CLIP/
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/qihoo360/DCI-CN
β’ https://huggingface.co/datasets/qihoo360/BoxClass-CN
β’ https://huggingface.co/datasets/qihoo360/LIT-CN
β’ https://huggingface.co/datasets/qihoo360/DOCCI-CN
πΉ Spaces citing this paper:
β’ https://huggingface.co/spaces/qihoo360/FG-CLIP2-Retrieval-demo
β’ https://huggingface.co/spaces/qihoo360/FG-CLIP2-Densefeature-demo
==================================
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πΉ Publication Date: Published on Oct 13
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.10921
β’ PDF: https://arxiv.org/pdf/2510.10921
β’ Project Page: https://360cvgroup.github.io/FG-CLIP/
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/qihoo360/DCI-CN
β’ https://huggingface.co/datasets/qihoo360/BoxClass-CN
β’ https://huggingface.co/datasets/qihoo360/LIT-CN
β’ https://huggingface.co/datasets/qihoo360/DOCCI-CN
πΉ Spaces citing this paper:
β’ https://huggingface.co/spaces/qihoo360/FG-CLIP2-Retrieval-demo
β’ https://huggingface.co/spaces/qihoo360/FG-CLIP2-Densefeature-demo
==================================
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πΉ Title: X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model
πΉ Publication Date: Published on Oct 11
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.10274
β’ PDF: https://arxiv.org/pdf/2510.10274
β’ Project Page: https://thu-air-dream.github.io/X-VLA/
β’ Github: https://github.com/2toinf/X-VLA.git
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 11
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.10274
β’ PDF: https://arxiv.org/pdf/2510.10274
β’ Project Page: https://thu-air-dream.github.io/X-VLA/
β’ Github: https://github.com/2toinf/X-VLA.git
πΉ Datasets citing this paper:
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πΉ Title: Universal Image Restoration Pre-training via Masked Degradation Classification
πΉ Publication Date: Published on Oct 15
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.13282
β’ PDF: https://arxiv.org/pdf/2510.13282
β’ Project Page: https://github.com/MILab-PKU/MaskDCPT
β’ Github: https://github.com/MILab-PKU/MaskDCPT
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 15
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.13282
β’ PDF: https://arxiv.org/pdf/2510.13282
β’ Project Page: https://github.com/MILab-PKU/MaskDCPT
β’ Github: https://github.com/MILab-PKU/MaskDCPT
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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==================================
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β€1
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 for our server and purchasing an API for an AI model.
Contribute to the development of our community with us
Contact me @husseinsheikho
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 for our server and purchasing an API for an AI model.
Contribute to the development of our community with us
Contact me @husseinsheikho
ML Research Hub pinned Β«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 infrastructureβ¦Β»
πΉ Title: Stronger Together: On-Policy Reinforcement Learning for Collaborative LLMs
πΉ Publication Date: Published on Oct 13
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.11062
β’ PDF: https://arxiv.org/pdf/2510.11062
β’ Project Page: https://pettingllms-ai.github.io/
β’ Github: https://github.com/pettingllms-ai/PettingLLMs
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 13
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.11062
β’ PDF: https://arxiv.org/pdf/2510.11062
β’ Project Page: https://pettingllms-ai.github.io/
β’ Github: https://github.com/pettingllms-ai/PettingLLMs
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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πΉ Title: Reasoning in Space via Grounding in the World
πΉ Publication Date: Published on Oct 15
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.13800
β’ PDF: https://arxiv.org/pdf/2510.13800
β’ Project Page: https://yiming-cc.github.io/gs-reasoner/
β’ Github: https://github.com/WU-CVGL/GS-Reasoner
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 15
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.13800
β’ PDF: https://arxiv.org/pdf/2510.13800
β’ Project Page: https://yiming-cc.github.io/gs-reasoner/
β’ Github: https://github.com/WU-CVGL/GS-Reasoner
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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πΉ Title: Hierarchical Frequency Tagging Probe (HFTP): A Unified Approach to Investigate Syntactic Structure Representations in Large Language Models and the Human Brain
πΉ Publication Date: Published on Oct 15
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.13255
β’ PDF: https://arxiv.org/pdf/2510.13255
β’ Github: https://github.com/LilTiger/HFTP
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 15
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.13255
β’ PDF: https://arxiv.org/pdf/2510.13255
β’ Github: https://github.com/LilTiger/HFTP
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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πΉ Title: MATH-Beyond: A Benchmark for RL to Expand Beyond the Base Model
πΉ Publication Date: Published on Oct 13
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.11653
β’ PDF: https://arxiv.org/pdf/2510.11653
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/brendel-group/MATH-Beyond
πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 13
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.11653
β’ PDF: https://arxiv.org/pdf/2510.11653
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/brendel-group/MATH-Beyond
πΉ Spaces citing this paper:
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πΉ Title: EAGER: Entropy-Aware GEneRation for Adaptive Inference-Time Scaling
πΉ Publication Date: Published on Oct 13
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.11170
β’ PDF: https://arxiv.org/pdf/2510.11170
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 13
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.11170
β’ PDF: https://arxiv.org/pdf/2510.11170
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
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πΉ Title: The Art of Scaling Reinforcement Learning Compute for LLMs
πΉ Publication Date: Published on Oct 15
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.13786
β’ PDF: https://arxiv.org/pdf/2510.13786
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 15
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.13786
β’ PDF: https://arxiv.org/pdf/2510.13786
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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πΉ Title: Dedelayed: Deleting remote inference delay via on-device correction
πΉ Publication Date: Published on Oct 15
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.13714
β’ PDF: https://arxiv.org/pdf/2510.13714
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 15
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.13714
β’ PDF: https://arxiv.org/pdf/2510.13714
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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πΉ Title: What Generative Search Engines Like and How to Optimize Web Content Cooperatively
πΉ Publication Date: Published on Oct 13
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/pdf/2510.11438
β’ PDF: https://arxiv.org/pdf/2510.11438
β’ Github: https://github.com/cxcscmu/AutoGEO
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 13
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/pdf/2510.11438
β’ PDF: https://arxiv.org/pdf/2510.11438
β’ Github: https://github.com/cxcscmu/AutoGEO
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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β€1
πΉ Title: Evaluating Language Models' Evaluations of Games
πΉ Publication Date: Published on Oct 13
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.10930
β’ PDF: https://arxiv.org/pdf/2510.10930
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 13
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.10930
β’ PDF: https://arxiv.org/pdf/2510.10930
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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πΉ Title: Tracing the Traces: Latent Temporal Signals for Efficient and Accurate Reasoning
πΉ Publication Date: Published on Oct 12
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.10494
β’ PDF: https://arxiv.org/pdf/2510.10494
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 12
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.10494
β’ PDF: https://arxiv.org/pdf/2510.10494
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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πΉ Title: Haystack Engineering: Context Engineering for Heterogeneous and Agentic Long-Context Evaluation
πΉ Publication Date: Published on Oct 8
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.07414
β’ PDF: https://arxiv.org/pdf/2510.07414
β’ Github: https://github.com/Graph-COM/HaystackCraft
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/Graph-COM/HaystackCraft
πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 8
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.07414
β’ PDF: https://arxiv.org/pdf/2510.07414
β’ Github: https://github.com/Graph-COM/HaystackCraft
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/Graph-COM/HaystackCraft
πΉ Spaces citing this paper:
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πΉ Title: Learning to Grasp Anything by Playing with Random Toys
πΉ Publication Date: Published on Oct 14
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.12866
β’ PDF: https://arxiv.org/pdf/2510.12866
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 14
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.12866
β’ PDF: https://arxiv.org/pdf/2510.12866
πΉ Datasets citing this paper:
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πΉ Title: Don't Throw Away Your Pretrained Model
πΉ Publication Date: Published on Oct 10
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.09913
β’ PDF: https://arxiv.org/pdf/2510.09913
β’ Github: https://github.com/BunsenFeng/switch_generation
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 10
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.09913
β’ PDF: https://arxiv.org/pdf/2510.09913
β’ Github: https://github.com/BunsenFeng/switch_generation
πΉ Datasets citing this paper:
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πΉ Title: Less is More: Improving LLM Reasoning with Minimal Test-Time Intervention
πΉ Publication Date: Published on Oct 15
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.13940
β’ PDF: https://arxiv.org/pdf/2510.13940
β’ Github: https://github.com/EnVision-Research/MTI
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 15
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.13940
β’ PDF: https://arxiv.org/pdf/2510.13940
β’ Github: https://github.com/EnVision-Research/MTI
πΉ Datasets citing this paper:
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πΉ Title: Information Gain-based Policy Optimization: A Simple and Effective Approach for Multi-Turn LLM Agents
πΉ Publication Date: Published on Oct 16
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.14967
β’ PDF: https://arxiv.org/pdf/2510.14967
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 16
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.14967
β’ PDF: https://arxiv.org/pdf/2510.14967
πΉ Datasets citing this paper:
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