🔹 Title: Detect Anything via Next Point Prediction
🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12798
• PDF: https://arxiv.org/pdf/2510.12798
• Project Page: https://rex-omni.github.io/
• Github: https://github.com/IDEA-Research/Rex-Omni
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🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12798
• PDF: https://arxiv.org/pdf/2510.12798
• Project Page: https://rex-omni.github.io/
• Github: https://github.com/IDEA-Research/Rex-Omni
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🔹 Title: UniFusion: Vision-Language Model as Unified Encoder in Image Generation
🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12789
• PDF: https://arxiv.org/pdf/2510.12789
• Project Page: https://thekevinli.github.io/unifusion/
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🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12789
• PDF: https://arxiv.org/pdf/2510.12789
• Project Page: https://thekevinli.github.io/unifusion/
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🔹 Title: DITING: A Multi-Agent Evaluation Framework for Benchmarking Web Novel Translation
🔹 Publication Date: Published on Oct 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09116
• PDF: https://arxiv.org/pdf/2510.09116
• Github: https://github.com/WHUNextGen/DITING
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/NextGenWhu/DITING
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🔹 Publication Date: Published on Oct 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09116
• PDF: https://arxiv.org/pdf/2510.09116
• Github: https://github.com/WHUNextGen/DITING
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/NextGenWhu/DITING
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🔹 Title: Scaling Language-Centric Omnimodal Representation Learning
🔹 Publication Date: Published on Oct 13
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11693
• PDF: https://arxiv.org/pdf/2510.11693
• Project Page: https://huggingface.co/LCO-Embedding
• Github: https://github.com/LCO-Embedding/LCO-Embedding
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🔹 Publication Date: Published on Oct 13
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11693
• PDF: https://arxiv.org/pdf/2510.11693
• Project Page: https://huggingface.co/LCO-Embedding
• Github: https://github.com/LCO-Embedding/LCO-Embedding
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🔹 Title: A Survey of Vibe Coding with Large Language Models
🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12399
• PDF: https://arxiv.org/pdf/2510.12399
• Github: https://github.com/YuyaoGe/Awesome-Vibe-Coding
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🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12399
• PDF: https://arxiv.org/pdf/2510.12399
• Github: https://github.com/YuyaoGe/Awesome-Vibe-Coding
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🔹 Title: ERA: Transforming VLMs into Embodied Agents via Embodied Prior Learning and Online Reinforcement Learning
🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12693
• PDF: https://arxiv.org/pdf/2510.12693
• Project Page: https://embodied-reasoning-agent.github.io
• Github: https://embodied-reasoning-agent.github.io
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🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12693
• PDF: https://arxiv.org/pdf/2510.12693
• Project Page: https://embodied-reasoning-agent.github.io
• Github: https://embodied-reasoning-agent.github.io
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🔹 Title: Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models
🔹 Publication Date: Published on Oct 13
🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2510.11683
• PDF: https://arxiv.org/pdf/2510.11683
• Github: https://github.com/THU-KEG/BGPO
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🔹 Publication Date: Published on Oct 13
🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2510.11683
• PDF: https://arxiv.org/pdf/2510.11683
• Github: https://github.com/THU-KEG/BGPO
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🔹 Title: SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models
🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12784
• PDF: https://arxiv.org/pdf/2510.12784
• Project Page: https://waynejin0918.github.io/srum_web/
• Github: https://github.com/WayneJin0918/SRUM
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🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12784
• PDF: https://arxiv.org/pdf/2510.12784
• Project Page: https://waynejin0918.github.io/srum_web/
• Github: https://github.com/WayneJin0918/SRUM
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🔹 Title: Dr.LLM: Dynamic Layer Routing in LLMs
🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12773
• PDF: https://arxiv.org/pdf/2510.12773
• Github: https://github.com/parameterlab/dr-llm
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🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12773
• PDF: https://arxiv.org/pdf/2510.12773
• Github: https://github.com/parameterlab/dr-llm
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❤1
🔹 Title: Spatial Forcing: Implicit Spatial Representation Alignment for Vision-language-action Model
🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: http://arxiv.org/abs/2510.12276
• PDF: https://arxiv.org/pdf/2510.12276
• Github: https://github.com/OpenHelix-Team/Spatial-Forcing
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🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: http://arxiv.org/abs/2510.12276
• PDF: https://arxiv.org/pdf/2510.12276
• Github: https://github.com/OpenHelix-Team/Spatial-Forcing
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🔹 Title: What If : Understanding Motion Through Sparse Interactions
🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12777
• PDF: https://arxiv.org/pdf/2510.12777
• Project Page: https://compvis.github.io/flow-poke-transformer/
• Github: https://github.com/CompVis/flow-poke-transformer
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🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12777
• PDF: https://arxiv.org/pdf/2510.12777
• Project Page: https://compvis.github.io/flow-poke-transformer/
• Github: https://github.com/CompVis/flow-poke-transformer
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🔹 Title: SAIL-Embedding Technical Report: Omni-modal Embedding Foundation Model
🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12709
• PDF: https://arxiv.org/pdf/2510.12709
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12709
• PDF: https://arxiv.org/pdf/2510.12709
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🔹 Title: HoneyBee: Data Recipes for Vision-Language Reasoners
🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12225
• PDF: https://arxiv.org/pdf/2510.12225
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🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12225
• PDF: https://arxiv.org/pdf/2510.12225
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🔹 Title: ViCO: A Training Strategy towards Semantic Aware Dynamic High-Resolution
🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12793
• PDF: https://arxiv.org/pdf/2510.12793
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🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12793
• PDF: https://arxiv.org/pdf/2510.12793
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🔹 Title: ExpVid: A Benchmark for Experiment Video Understanding & Reasoning
🔹 Publication Date: Published on Oct 13
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11606
• PDF: https://arxiv.org/pdf/2510.11606
• Github: https://github.com/OpenGVLab/ExpVid
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/OpenGVLab/ExpVid
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🔹 Publication Date: Published on Oct 13
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11606
• PDF: https://arxiv.org/pdf/2510.11606
• Github: https://github.com/OpenGVLab/ExpVid
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/OpenGVLab/ExpVid
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🔹 Title: Temporal Alignment Guidance: On-Manifold Sampling in Diffusion Models
🔹 Publication Date: Published on Oct 13
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11057
• PDF: https://arxiv.org/pdf/2510.11057
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🔹 Publication Date: Published on Oct 13
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11057
• PDF: https://arxiv.org/pdf/2510.11057
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🔹 Title: MLLM as a UI Judge: Benchmarking Multimodal LLMs for Predicting Human Perception of User Interfaces
🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08783
• PDF: https://arxiv.org/pdf/2510.08783
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🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08783
• PDF: https://arxiv.org/pdf/2510.08783
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🔹 Title: One Life to Learn: Inferring Symbolic World Models for Stochastic Environments from Unguided Exploration
🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12088
• PDF: https://arxiv.org/pdf/2510.12088
• Project Page: https://onelife-worldmodel.github.io
• Github: https://huggingface.co/papers/onelife-worldmodel.github.io
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🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12088
• PDF: https://arxiv.org/pdf/2510.12088
• Project Page: https://onelife-worldmodel.github.io
• Github: https://huggingface.co/papers/onelife-worldmodel.github.io
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🔹 Title: Robot Learning: A Tutorial
🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12403
• PDF: https://arxiv.org/pdf/2510.12403
🔹 Datasets citing this paper:
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• https://huggingface.co/spaces/lerobot/robot-learning-tutorial
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🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12403
• PDF: https://arxiv.org/pdf/2510.12403
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🔹 Title: Information-Preserving Reformulation of Reasoning Traces for Antidistillation
🔹 Publication Date: Published on Oct 13
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11545
• PDF: https://arxiv.org/pdf/2510.11545
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🔹 Publication Date: Published on Oct 13
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11545
• PDF: https://arxiv.org/pdf/2510.11545
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🔹 Title: ReFIne: A Framework for Trustworthy Large Reasoning Models with Reliability, Faithfulness, and Interpretability
🔹 Publication Date: Published on Oct 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09062
• PDF: https://arxiv.org/pdf/2510.09062
• Github: https://github.com/Trustworthy-ML-Lab/Training_Trustworthy_LRM_with_Refine
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🔹 Publication Date: Published on Oct 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09062
• PDF: https://arxiv.org/pdf/2510.09062
• Github: https://github.com/Trustworthy-ML-Lab/Training_Trustworthy_LRM_with_Refine
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