πΉ Title: Uni-MMMU: A Massive Multi-discipline Multimodal Unified Benchmark
πΉ Publication Date: Published on Oct 15
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.13759
β’ PDF: https://arxiv.org/pdf/2510.13759
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πΉ Publication Date: Published on Oct 15
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.13759
β’ PDF: https://arxiv.org/pdf/2510.13759
πΉ Datasets citing this paper:
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πΉ Title: LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models
πΉ Publication Date: Published on Oct 15
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.13626
β’ PDF: https://arxiv.org/pdf/2510.13626
β’ Project Page: https://sylvestf.github.io/LIBERO-plus/
β’ Github: https://github.com/sylvestf/LIBERO-plus
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/2510.13626
β’ PDF: https://arxiv.org/pdf/2510.13626
β’ Project Page: https://sylvestf.github.io/LIBERO-plus/
β’ Github: https://github.com/sylvestf/LIBERO-plus
πΉ Datasets citing this paper:
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πΉ Title: UniMoE-Audio: Unified Speech and Music Generation with Dynamic-Capacity MoE
πΉ Publication Date: Published on Oct 15
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.13344
β’ PDF: https://arxiv.org/pdf/2510.13344
β’ Github: https://github.com/HITsz-TMG/Uni-MoE/blob/master/UniMoE-Audio
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/2510.13344
β’ PDF: https://arxiv.org/pdf/2510.13344
β’ Github: https://github.com/HITsz-TMG/Uni-MoE/blob/master/UniMoE-Audio
πΉ Datasets citing this paper:
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πΉ Title: Direct Multi-Token Decoding
πΉ Publication Date: Published on Oct 13
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.11958
β’ PDF: https://arxiv.org/pdf/2510.11958
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 13
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.11958
β’ PDF: https://arxiv.org/pdf/2510.11958
πΉ Datasets citing this paper:
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πΉ Title: Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization
πΉ Publication Date: Published on Oct 15
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.13554
β’ PDF: https://arxiv.org/pdf/2510.13554
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/2510.13554
β’ PDF: https://arxiv.org/pdf/2510.13554
πΉ Datasets citing this paper:
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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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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 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 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 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 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 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:
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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:
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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 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 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 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 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 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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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 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 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 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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