🔹 Title: X-Streamer: Unified Human World Modeling with Audiovisual Interaction

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21574
• PDF: https://arxiv.org/pdf/2509.21574

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🔹 Title: FlashEdit: Decoupling Speed, Structure, and Semantics for Precise Image Editing

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22244
• PDF: https://arxiv.org/pdf/2509.22244
• Github: https://github.com/JunyiWuCode/FlashEdit

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🔹 Title: D-Artemis: A Deliberative Cognitive Framework for Mobile GUI Multi-Agents

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21799
• PDF: https://arxiv.org/pdf/2509.21799

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🔹 Title: CHURRO: Making History Readable with an Open-Weight Large Vision-Language Model for High-Accuracy, Low-Cost Historical Text Recognition

🔹 Publication Date: Published on Sep 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.19768
• PDF: https://arxiv.org/pdf/2509.19768
• Github: https://github.com/stanford-oval/Churro

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🔹 Title: ReviewScore: Misinformed Peer Review Detection with Large Language Models

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21679
• PDF: https://arxiv.org/pdf/2509.21679

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🔹 Title: LucidFlux: Caption-Free Universal Image Restoration via a Large-Scale Diffusion Transformer

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22414
• PDF: https://arxiv.org/pdf/2509.22414
• Project Page: https://w2genai-lab.github.io/LucidFlux/
• Github: https://github.com/W2GenAI-Lab/LucidFlux

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🔹 Title: Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21710
• PDF: https://arxiv.org/pdf/2509.21710
• Github: https://github.com/DataArcTech/RAG-Factory

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🔹 Title: SPARK: Synergistic Policy And Reward Co-Evolving Framework

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22624
• PDF: https://arxiv.org/pdf/2509.22624
• Project Page: https://github.com/InternLM/Spark
• Github: https://github.com/InternLM/Spark

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/internlm/Spark-Data

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🔹 Title: Chasing the Tail: Effective Rubric-based Reward Modeling for Large Language Model Post-Training

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21500
• PDF: https://arxiv.org/pdf/2509.21500

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🔹 Title: StateX: Enhancing RNN Recall via Post-training State Expansion

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22630
• PDF: https://arxiv.org/pdf/2509.22630
• Github: https://github.com/thunlp/StateX

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🔹 Title: MesaTask: Towards Task-Driven Tabletop Scene Generation via 3D Spatial Reasoning

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22281
• PDF: https://arxiv.org/pdf/2509.22281
• Project Page: https://mesatask.github.io/
• Github: https://github.com/InternRobotics/MesaTask

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/InternRobotics/MesaTask-10K

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🔹 Title: No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21880
• PDF: https://arxiv.org/pdf/2509.21880

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🔹 Title: See, Point, Fly: A Learning-Free VLM Framework for Universal Unmanned Aerial Navigation

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22653
• PDF: https://arxiv.org/pdf/2509.22653
• Project Page: https://spf-web.pages.dev
• Github: https://github.com/Hu-chih-yao/see-point-fly

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🔹 Title: X-CoT: Explainable Text-to-Video Retrieval via LLM-based Chain-of-Thought Reasoning

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21559
• PDF: https://arxiv.org/pdf/2509.21559
• Project Page: https://prasannapulakurthi.github.io/X-CoT/
• Github: https://github.com/PrasannaPulakurthi/X-CoT

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/prasannareddyp/X-CoT

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🔹 Title: RefAM: Attention Magnets for Zero-Shot Referral Segmentation

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22650
• PDF: https://arxiv.org/pdf/2509.22650
• Github: https://refam-diffusion.github.io/

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🔹 Title: WoW: Towards a World omniscient World model Through Embodied Interaction

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22642
• PDF: https://arxiv.org/pdf/2509.22642

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🔹 Title: Real-Time Object Detection Meets DINOv3

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.20787
• PDF: https://arxiv.org/pdf/2509.20787
• Project Page: https://intellindust-ai-lab.github.io/projects/DEIMv2/
• Github: https://github.com/Intellindust-AI-Lab/DEIMv2

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🔹 Title: HiGS: History-Guided Sampling for Plug-and-Play Enhancement of Diffusion Models

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22300
• PDF: https://arxiv.org/pdf/2509.22300

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🔹 Title: PromptCoT 2.0: Scaling Prompt Synthesis for Large Language Model Reasoning

🔹 Publication Date: Published on Sep 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.19894
• PDF: https://arxiv.org/pdf/2509.19894
• Github: https://github.com/inclusionAI/PromptCoT

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/xl-zhao/PromptCoT-2.0-SFT-4.8M
• https://huggingface.co/datasets/xl-zhao/PromptCoT-2.0-SelfPlay-4B-48K
• https://huggingface.co/datasets/xl-zhao/PromptCoT-2.0-SelfPlay-30B-11K

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🔹 Title: Instruction-Following Evaluation in Function Calling for Large Language Models

🔹 Publication Date: Published on Sep 22

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.18420
• PDF: https://arxiv.org/pdf/2509.18420
• Github: https://github.com/Skripkon/IFEval-FC

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/NikolaiSkripko/IFEval-FC

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