🔹 Title: Saturation-Driven Dataset Generation for LLM Mathematical Reasoning in the TPTP Ecosystem

🔹 Publication Date: Published on Sep 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06809
• PDF: https://arxiv.org/pdf/2509.06809

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/reasoning-core/tptp_math_reasoning

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🔹 Title: Guided Decoding and Its Critical Role in Retrieval-Augmented Generation

🔹 Publication Date: Published on Sep 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06631
• PDF: https://arxiv.org/pdf/2509.06631

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🔹 Title: DCReg: Decoupled Characterization for Efficient Degenerate LiDAR Registration

🔹 Publication Date: Published on Sep 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06285
• PDF: https://arxiv.org/pdf/2509.06285
• Project Page: https://github.com/JokerJohn/DCReg
• Github: https://github.com/JokerJohn/DCReg

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🔹 Title: Inpaint4Drag: Repurposing Inpainting Models for Drag-Based Image Editing via Bidirectional Warping

🔹 Publication Date: Published on Sep 4

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.04582
• PDF: https://arxiv.org/pdf/2509.04582
• Project Page: https://visual-ai.github.io/inpaint4drag/
• Github: https://github.com/Visual-AI/Inpaint4Drag

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/LuJingyi/DragBench

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🔹 Title: Singular Value Few-shot Adaptation of Vision-Language Models

🔹 Publication Date: Published on Sep 3

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.03740
• PDF: https://arxiv.org/pdf/2509.03740
• Github: https://github.com/HealthX-Lab/CLIP-SVD

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🔹 Title: DivMerge: A divergence-based model merging method for multi-tasking

🔹 Publication Date: Published on Sep 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.02108
• PDF: https://arxiv.org/pdf/2509.02108

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🔹 Title: Mechanistic interpretability for steering vision-language-action models

🔹 Publication Date: Published on Aug 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.00328
• PDF: https://arxiv.org/pdf/2509.00328

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🔹 Title: SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously Reasoning Single Agents

🔹 Publication Date: Published on Sep 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06283
• PDF: https://arxiv.org/pdf/2509.06283

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🔹 Title: Staying in the Sweet Spot: Responsive Reasoning Evolution via Capability-Adaptive Hint Scaffolding

🔹 Publication Date: Published on Sep 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06923
• PDF: https://arxiv.org/pdf/2509.06923
• Github: https://github.com/ChillingDream/seele

🔹 Datasets citing this paper:
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🔹 Title: Parallel-R1: Towards Parallel Thinking via Reinforcement Learning

🔹 Publication Date: Published on Sep 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.07980
• PDF: https://arxiv.org/pdf/2509.07980
• Github: https://github.com/zhengkid/Parallel-R1

🔹 Datasets citing this paper:
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🔹 Title: Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search

🔹 Publication Date: Published on Sep 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.07969
• PDF: https://arxiv.org/pdf/2509.07969
• Project Page: https://mini-o3.github.io/
• Github: https://github.com/Mini-o3/Mini-o3

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🔹 Title: Visual Representation Alignment for Multimodal Large Language Models

🔹 Publication Date: Published on Sep 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.07979
• PDF: https://arxiv.org/pdf/2509.07979
• Project Page: https://cvlab-kaist.github.io/VIRAL/

🔹 Datasets citing this paper:
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🔹 Title: SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric Knowledge

🔹 Publication Date: Published on Sep 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.07968
• PDF: https://arxiv.org/pdf/2509.07968
• Project Page: https://www.kaggle.com/benchmarks/deepmind/simpleqa-verified

🔹 Datasets citing this paper:
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🔹 Title: F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions

🔹 Publication Date: Published on Sep 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06951
• PDF: https://arxiv.org/pdf/2509.06951
• Github: https://github.com/InternRobotics/F1-VLA

🔹 Datasets citing this paper:
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🔹 Title: Reconstruction Alignment Improves Unified Multimodal Models

🔹 Publication Date: Published on Sep 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.07295
• PDF: https://arxiv.org/pdf/2509.07295
• Project Page: https://reconstruction-alignment.github.io/
• Github: https://github.com/HorizonWind2004/reconstruction-alignment

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🔹 Title: Language Self-Play For Data-Free Training

🔹 Publication Date: Published on Sep 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.07414
• PDF: https://arxiv.org/pdf/2509.07414

🔹 Datasets citing this paper:
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🔹 Title: UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward

🔹 Publication Date: Published on Sep 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06818
• PDF: https://arxiv.org/pdf/2509.06818
• Project Page: https://bytedance.github.io/UMO/
• Github: https://bytedance.github.io/UMO/

🔹 Datasets citing this paper:
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🔹 Spaces citing this paper:
• https://huggingface.co/spaces/bytedance-research/UMO_OmniGen2
• https://huggingface.co/spaces/bytedance-research/UMO_UNO
==================================

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🔹 Title: Causal Attention with Lookahead Keys

🔹 Publication Date: Published on Sep 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.07301
• PDF: https://arxiv.org/pdf/2509.07301

🔹 Datasets citing this paper:
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🔹 Title: Q-Sched: Pushing the Boundaries of Few-Step Diffusion Models with Quantization-Aware Scheduling

🔹 Publication Date: Published on Sep 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.01624
• PDF: https://arxiv.org/pdf/2509.01624
• Github: https://github.com/enyac-group/q-sched

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🔹 Title: Curia: A Multi-Modal Foundation Model for Radiology

🔹 Publication Date: Published on Sep 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06830
• PDF: https://arxiv.org/pdf/2509.06830
• Project Page: https://huggingface.co/raidium/curia

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