🔹 Title: Euclid's Gift: Enhancing Spatial Perception and Reasoning in Vision-Language Models via Geometric Surrogate Tasks
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24473
• PDF: https://arxiv.org/pdf/2509.24473
• Project Page: https://zgca-ai4edu.github.io/Euclids_Gift/
• Github: https://github.com/LiamLian0727/Euclids_Gift
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24473
• PDF: https://arxiv.org/pdf/2509.24473
• Project Page: https://zgca-ai4edu.github.io/Euclids_Gift/
• Github: https://github.com/LiamLian0727/Euclids_Gift
🔹 Datasets citing this paper:
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🔹 Title: Hyperspherical Latents Improve Continuous-Token Autoregressive Generation
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24335
• PDF: https://arxiv.org/pdf/2509.24335
• Github: https://github.com/guolinke/SphereAR
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24335
• PDF: https://arxiv.org/pdf/2509.24335
• Github: https://github.com/guolinke/SphereAR
🔹 Datasets citing this paper:
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🔹 Title: ChatInject: Abusing Chat Templates for Prompt Injection in LLM Agents
🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22830
• PDF: https://arxiv.org/pdf/2509.22830
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22830
• PDF: https://arxiv.org/pdf/2509.22830
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❤1
🔹 Title: RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmark
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24897
• PDF: https://arxiv.org/pdf/2509.24897
• Github: https://github.com/FrankYang-17/RealUnify
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24897
• PDF: https://arxiv.org/pdf/2509.24897
• Github: https://github.com/FrankYang-17/RealUnify
🔹 Datasets citing this paper:
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🔹 Title: OpenGPT-4o-Image: A Comprehensive Dataset for Advanced Image Generation and Editing
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24900
• PDF: https://arxiv.org/pdf/2509.24900
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/WINDop/OpenGPT-4o-Image
🔹 Spaces citing this paper:
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24900
• PDF: https://arxiv.org/pdf/2509.24900
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/WINDop/OpenGPT-4o-Image
🔹 Spaces citing this paper:
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🔹 Title: SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24695
• PDF: https://arxiv.org/pdf/2509.24695
• Project Page: https://nvlabs.github.io/Sana/Video
• Github: https://nvlabs.github.io/Sana/Video
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24695
• PDF: https://arxiv.org/pdf/2509.24695
• Project Page: https://nvlabs.github.io/Sana/Video
• Github: https://nvlabs.github.io/Sana/Video
🔹 Datasets citing this paper:
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🔹 Title: SIRI: Scaling Iterative Reinforcement Learning with Interleaved Compression
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25176
• PDF: https://arxiv.org/pdf/2509.25176
• Project Page: https://huggingface.co/collections/THU-KEG/siri-68d65a4ecf9f20dac7322dfe
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25176
• PDF: https://arxiv.org/pdf/2509.25176
• Project Page: https://huggingface.co/collections/THU-KEG/siri-68d65a4ecf9f20dac7322dfe
🔹 Datasets citing this paper:
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🔹 Title: EasySteer: A Unified Framework for High-Performance and Extensible LLM Steering
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25175
• PDF: https://arxiv.org/pdf/2509.25175
• Github: https://github.com/ZJU-REAL/EasySteer
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25175
• PDF: https://arxiv.org/pdf/2509.25175
• Github: https://github.com/ZJU-REAL/EasySteer
🔹 Datasets citing this paper:
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🔹 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
🔹 Datasets citing this paper:
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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
🔹 Datasets citing this paper:
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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/
🔹 Datasets citing this paper:
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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/
🔹 Datasets citing this paper:
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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
🔹 Datasets citing this paper:
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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
🔹 Datasets citing this paper:
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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
🔹 Datasets citing this paper:
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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
🔹 Datasets citing this paper:
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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
🔹 Spaces citing this paper:
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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
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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
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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
🔹 Datasets citing this paper:
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