🔹 Title: SKYLENAGE Technical Report: Mathematical Reasoning and Contest-Innovation Benchmarks for Multi-Level Math Evaluation

🔹 Publication Date: Published on Sep 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.01241
• PDF: https://arxiv.org/pdf/2510.01241

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🔹 Title: Parallel Scaling Law: Unveiling Reasoning Generalization through A Cross-Linguistic Perspective

🔹 Publication Date: Published on Oct 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.02272
• PDF: https://arxiv.org/pdf/2510.02272

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🔹 Title: Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness

🔹 Publication Date: Published on Oct 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.01670
• PDF: https://arxiv.org/pdf/2510.01670

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🔹 Title: Automated Structured Radiology Report Generation with Rich Clinical Context

🔹 Publication Date: Published on Oct 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00428
• PDF: https://arxiv.org/pdf/2510.00428
• Github: https://github.com/vuno/contextualized-srrg

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🔹 Title: Go with Your Gut: Scaling Confidence for Autoregressive Image Generation

🔹 Publication Date: Published on Sep 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26376
• PDF: https://arxiv.org/pdf/2509.26376
• Github: https://github.com/EnVision-Research/ScalingAR

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🔹 Title: FrameThinker: Learning to Think with Long Videos via Multi-Turn Frame Spotlighting

🔹 Publication Date: Published on Sep 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24304
• PDF: https://arxiv.org/pdf/2509.24304
• Project Page: https://github.com/lcqysl/FrameThinker-RL
• Github: https://github.com/lcqysl/FrameThinker-RL

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🔹 Title: VLA-R1: Enhancing Reasoning in Vision-Language-Action Models

🔹 Publication Date: Published on Oct 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.01623
• PDF: https://arxiv.org/pdf/2510.01623
• Project Page: https://gigaai-research.github.io/VLA-R1
• Github: https://github.com/GigaAI-research/VLA-R1

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🔹 Title: RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learning

🔹 Publication Date: Published on Oct 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.02240
• PDF: https://arxiv.org/pdf/2510.02240
• Project Page: https://fscdc.github.io/RewardMap
• Github: https://fscdc.github.io/RewardMap

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🔹 Title: Optimal Control Meets Flow Matching: A Principled Route to Multi-Subject Fidelity

🔹 Publication Date: Published on Oct 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.02315
• PDF: https://arxiv.org/pdf/2510.02315
• Github: https://github.com/ericbill21/FOCUS/

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🔹 Title: ExGRPO: Learning to Reason from Experience

🔹 Publication Date: Published on Oct 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.02245
• PDF: https://arxiv.org/pdf/2510.02245

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🔹 Title: TimeSeriesScientist: A General-Purpose AI Agent for Time Series Analysis

🔹 Publication Date: Published on Oct 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.01538
• PDF: https://arxiv.org/pdf/2510.01538

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🔹 Title: Spectral Scaling Laws in Language Models: How Effectively Do Feed-Forward Networks Use Their Latent Space?

🔹 Publication Date: Published on Oct 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00537
• PDF: https://arxiv.org/pdf/2510.00537

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🔹 Title: Agentic Jigsaw Interaction Learning for Enhancing Visual Perception and Reasoning in Vision-Language Models

🔹 Publication Date: Published on Oct 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.01304
• PDF: https://arxiv.org/pdf/2510.01304
• Project Page: https://yuzeng0-0.github.io/AGILE/
• Github: https://github.com/yuzeng0-0/AGILE

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🔹 Title: Learning to Reason for Hallucination Span Detection

🔹 Publication Date: Published on Oct 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.02173
• PDF: https://arxiv.org/pdf/2510.02173

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🔹 Title: Visual Multi-Agent System: Mitigating Hallucination Snowballing via Visual Flow

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21789
• PDF: https://arxiv.org/pdf/2509.21789

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🔹 Title: VideoNSA: Native Sparse Attention Scales Video Understanding

🔹 Publication Date: Published on Oct 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.02295
• PDF: https://arxiv.org/pdf/2510.02295
• Project Page: https://enxinsong.com/VideoNSA-web/
• Github: https://github.com/Espere-1119-Song/VideoNSA

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🔹 Title: Tree-based Dialogue Reinforced Policy Optimization for Red-Teaming Attacks

🔹 Publication Date: Published on Oct 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.02286
• PDF: https://arxiv.org/pdf/2510.02286

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🔹 Title: SQUARE: Semantic Query-Augmented Fusion and Efficient Batch Reranking for Training-free Zero-Shot Composed Image Retrieval

🔹 Publication Date: Published on Sep 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26330
• PDF: https://arxiv.org/pdf/2509.26330

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🔹 Title: RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems

🔹 Publication Date: Published on Oct 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.02263
• PDF: https://arxiv.org/pdf/2510.02263

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🔹 Title: Generalized Parallel Scaling with Interdependent Generations

🔹 Publication Date: Published on Oct 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.01143
• PDF: https://arxiv.org/pdf/2510.01143

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🔹 Title: The Rogue Scalpel: Activation Steering Compromises LLM Safety

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22067
• PDF: https://arxiv.org/pdf/2509.22067

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