🔹 Title: Sequential Diffusion Language Models
🔹 Publication Date: Published on Sep 28
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24007
• PDF: https://arxiv.org/pdf/2509.24007
• Github: https://github.com/OpenGVLab/SDLM
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🔹 Publication Date: Published on Sep 28
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24007
• PDF: https://arxiv.org/pdf/2509.24007
• Github: https://github.com/OpenGVLab/SDLM
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🔹 Title: Rolling Forcing: Autoregressive Long Video Diffusion in Real Time
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25161
• PDF: https://arxiv.org/pdf/2509.25161
• Project Page: https://kunhao-liu.github.io/Rolling_Forcing_Webpage/
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25161
• PDF: https://arxiv.org/pdf/2509.25161
• Project Page: https://kunhao-liu.github.io/Rolling_Forcing_Webpage/
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🔹 Title: Critique-Coder: Enhancing Coder Models by Critique Reinforcement Learning
🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22824
• PDF: https://arxiv.org/pdf/2509.22824
• Project Page: https://tiger-ai-lab.github.io/Critique-Coder/
• Github: https://github.com/TIGER-AI-Lab/Critique-Coder
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🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22824
• PDF: https://arxiv.org/pdf/2509.22824
• Project Page: https://tiger-ai-lab.github.io/Critique-Coder/
• Github: https://github.com/TIGER-AI-Lab/Critique-Coder
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🔹 Title: From Harm to Help: Turning Reasoning In-Context Demos into Assets for Reasoning LMs
🔹 Publication Date: Published on Sep 27
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23196
• PDF: https://arxiv.org/pdf/2509.23196
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🔹 Publication Date: Published on Sep 27
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23196
• PDF: https://arxiv.org/pdf/2509.23196
🔹 Datasets citing this paper:
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🔹 Title: VideoScore2: Think before You Score in Generative Video Evaluation
🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22799
• PDF: https://arxiv.org/pdf/2509.22799
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22799
• PDF: https://arxiv.org/pdf/2509.22799
🔹 Datasets citing this paper:
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🔹 Title: PixelCraft: A Multi-Agent System for High-Fidelity Visual Reasoning on Structured Images
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25185
• PDF: https://arxiv.org/pdf/2509.25185
• Github: https://github.com/microsoft/PixelCraft
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25185
• PDF: https://arxiv.org/pdf/2509.25185
• Github: https://github.com/microsoft/PixelCraft
🔹 Datasets citing this paper:
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🔹 Title: GSM8K-V: Can Vision Language Models Solve Grade School Math Word Problems in Visual Contexts
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25160
• PDF: https://arxiv.org/pdf/2509.25160
• Project Page: https://zju-real.github.io/GSM8K-V/
• Github: https://github.com/ZJU-REAL/GSM8K-V
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/ZJU-REAL/GSM8K-V
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25160
• PDF: https://arxiv.org/pdf/2509.25160
• Project Page: https://zju-real.github.io/GSM8K-V/
• Github: https://github.com/ZJU-REAL/GSM8K-V
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/ZJU-REAL/GSM8K-V
🔹 Spaces citing this paper:
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🔹 Title: AdvChain: Adversarial Chain-of-Thought Tuning for Robust Safety Alignment of Large Reasoning Models
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24269
• PDF: https://arxiv.org/pdf/2509.24269
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24269
• PDF: https://arxiv.org/pdf/2509.24269
🔹 Datasets citing this paper:
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🔹 Title: MathBode: Frequency-Domain Fingerprints of LLM Mathematical Reasoning
🔹 Publication Date: Published on Sep 27
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23143
• PDF: https://arxiv.org/pdf/2509.23143
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/cognitive-metrology-lab/MathBode
🔹 Spaces citing this paper:
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🔹 Publication Date: Published on Sep 27
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23143
• PDF: https://arxiv.org/pdf/2509.23143
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/cognitive-metrology-lab/MathBode
🔹 Spaces citing this paper:
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🔹 Title: Dynamic Experts Search: Enhancing Reasoning in Mixture-of-Experts LLMs at Test Time
🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22572
• PDF: https://arxiv.org/pdf/2509.22572
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22572
• PDF: https://arxiv.org/pdf/2509.22572
🔹 Datasets citing this paper:
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🔹 Title: UniMIC: Token-Based Multimodal Interactive Coding for Human-AI Collaboration
🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22570
• PDF: https://arxiv.org/pdf/2509.22570
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22570
• PDF: https://arxiv.org/pdf/2509.22570
🔹 Datasets citing this paper:
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🔹 Title: IWR-Bench: Can LVLMs reconstruct interactive webpage from a user interaction video?
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24709
• PDF: https://arxiv.org/pdf/2509.24709
• Github: https://github.com/L-O-I/IWR-Bench
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24709
• PDF: https://arxiv.org/pdf/2509.24709
• Github: https://github.com/L-O-I/IWR-Bench
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🔹 Title: Efficient Multi-turn RL for GUI Agents via Decoupled Training and Adaptive Data Curation
🔹 Publication Date: Published on Sep 28
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23866
• PDF: https://arxiv.org/pdf/2509.23866
• Project Page: https://computer-use-agents.github.io/dart-gui/
• Github: https://github.com/computer-use-agents/dart-gui
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 28
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23866
• PDF: https://arxiv.org/pdf/2509.23866
• Project Page: https://computer-use-agents.github.io/dart-gui/
• Github: https://github.com/computer-use-agents/dart-gui
🔹 Datasets citing this paper:
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🔹 Title: RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility
🔹 Publication Date: Published on Sep 27
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23115
• PDF: https://arxiv.org/pdf/2509.23115
• Github: https://github.com/he-h/rhythm/tree/main
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 27
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23115
• PDF: https://arxiv.org/pdf/2509.23115
• Github: https://github.com/he-h/rhythm/tree/main
🔹 Datasets citing this paper:
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🔹 Title: REMA: A Unified Reasoning Manifold Framework for Interpreting Large Language Model
🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22518
• PDF: https://arxiv.org/pdf/2509.22518
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22518
• PDF: https://arxiv.org/pdf/2509.22518
🔹 Datasets citing this paper:
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🔹 Title: InfLLM-V2: Dense-Sparse Switchable Attention for Seamless Short-to-Long Adaptation
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24663
• PDF: https://arxiv.org/pdf/2509.24663
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24663
• PDF: https://arxiv.org/pdf/2509.24663
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🔹 Title: VGGT-X: When VGGT Meets Dense Novel View Synthesis
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25191
• PDF: https://arxiv.org/pdf/2509.25191
• Project Page: https://dekuliutesla.github.io/vggt-x.github.io/
• Github: https://github.com/Linketic/VGGT-X
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25191
• PDF: https://arxiv.org/pdf/2509.25191
• Project Page: https://dekuliutesla.github.io/vggt-x.github.io/
• Github: https://github.com/Linketic/VGGT-X
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🔹 Title: Pretraining Large Language Models with NVFP4
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25149
• PDF: https://arxiv.org/pdf/2509.25149
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25149
• PDF: https://arxiv.org/pdf/2509.25149
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🔹 Title: BRIDGE - Building Reinforcement-Learning Depth-to-Image Data Generation Engine for Monocular Depth Estimation
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25077
• PDF: https://arxiv.org/pdf/2509.25077
• Project Page: https://dingning-liu.github.io/bridge.github.io/
• Github: https://github.com/lnbxldn/BRIDGE
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25077
• PDF: https://arxiv.org/pdf/2509.25077
• Project Page: https://dingning-liu.github.io/bridge.github.io/
• Github: https://github.com/lnbxldn/BRIDGE
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🔹 Title: Cogito, Ergo Ludo: An Agent that Learns to Play by Reasoning and Planning
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25052
• PDF: https://arxiv.org/pdf/2509.25052
• Project Page: https://zhongwenxu.notion.site/Cogito-Ergo-Ludo-An-Agent-that-Learns-to-Play-by-Reasoning-and-Planning-27a1c4e140e3808f8470fb059bb44f0e
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25052
• PDF: https://arxiv.org/pdf/2509.25052
• Project Page: https://zhongwenxu.notion.site/Cogito-Ergo-Ludo-An-Agent-that-Learns-to-Play-by-Reasoning-and-Planning-27a1c4e140e3808f8470fb059bb44f0e
🔹 Datasets citing this paper:
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