🔹 Title: Reinforcement Learning Foundations for Deep Research Systems: A Survey
🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06733
• PDF: https://arxiv.org/pdf/2509.06733
• Github: https://github.com/wenjunli-0/deepresearch-survey
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🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06733
• PDF: https://arxiv.org/pdf/2509.06733
• Github: https://github.com/wenjunli-0/deepresearch-survey
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🔹 Title: Easier Painting Than Thinking: Can Text-to-Image Models Set the Stage, but Not Direct the Play?
🔹 Publication Date: Published on Sep 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.03516
• PDF: https://arxiv.org/pdf/2509.03516
• Project Page: https://t2i-corebench.github.io/
• Github: https://github.com/KwaiVGI/T2I-CoReBench
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/lioooox/T2I-CoReBench
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🔹 Publication Date: Published on Sep 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.03516
• PDF: https://arxiv.org/pdf/2509.03516
• Project Page: https://t2i-corebench.github.io/
• Github: https://github.com/KwaiVGI/T2I-CoReBench
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/lioooox/T2I-CoReBench
🔹 Spaces citing this paper:
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🔹 Title: R^textbf{2AI}: Towards Resistant and Resilient AI in an Evolving World
🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06786
• PDF: https://arxiv.org/pdf/2509.06786
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🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06786
• PDF: https://arxiv.org/pdf/2509.06786
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🔹 Title: Paper2Agent: Reimagining Research Papers As Interactive and Reliable AI Agents
🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06917
• PDF: https://arxiv.org/pdf/2509.06917
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🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06917
• PDF: https://arxiv.org/pdf/2509.06917
🔹 Datasets citing this paper:
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🔹 Title: D-HUMOR: Dark Humor Understanding via Multimodal Open-ended Reasoning
🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06771
• PDF: https://arxiv.org/pdf/2509.06771
• Github: https://github.com/Sai-Kartheek-Reddy/D-Humor-Dark-Humor-Understanding-via-Multimodal-Open-ended-Reasoning/
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06771
• PDF: https://arxiv.org/pdf/2509.06771
• Github: https://github.com/Sai-Kartheek-Reddy/D-Humor-Dark-Humor-Understanding-via-Multimodal-Open-ended-Reasoning/
🔹 Datasets citing this paper:
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🔹 Title: Scaling up Multi-Turn Off-Policy RL and Multi-Agent Tree Search for LLM Step-Provers
🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06493
• PDF: https://arxiv.org/pdf/2509.06493
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06493
• PDF: https://arxiv.org/pdf/2509.06493
🔹 Datasets citing this paper:
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🔹 Title: Does DINOv3 Set a New Medical Vision Standard?
🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06467
• PDF: https://arxiv.org/pdf/2509.06467
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06467
• PDF: https://arxiv.org/pdf/2509.06467
🔹 Datasets citing this paper:
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🔹 Title: Reverse-Engineered Reasoning for Open-Ended Generation
🔹 Publication Date: Published on Sep 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06160
• PDF: https://arxiv.org/pdf/2509.06160
• Project Page: https://m-a-p.ai/REER_DeepWriter/
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06160
• PDF: https://arxiv.org/pdf/2509.06160
• Project Page: https://m-a-p.ai/REER_DeepWriter/
🔹 Datasets citing this paper:
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🔹 Title: Llama-GENBA-10B: A Trilingual Large Language Model for German, English and Bavarian
🔹 Publication Date: Published on Sep 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.05668
• PDF: https://arxiv.org/pdf/2509.05668
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.05668
• PDF: https://arxiv.org/pdf/2509.05668
🔹 Datasets citing this paper:
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❤2
🔹 Title: MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents
🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06477
• PDF: https://arxiv.org/pdf/2509.06477
• Project Page: https://pengxiang-zhao.github.io/MAS-Bench
• Github: https://pengxiang-zhao.github.io/MAS-Bench
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06477
• PDF: https://arxiv.org/pdf/2509.06477
• Project Page: https://pengxiang-zhao.github.io/MAS-Bench
• Github: https://pengxiang-zhao.github.io/MAS-Bench
🔹 Datasets citing this paper:
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🔹 Title: Focusing by Contrastive Attention: Enhancing VLMs' Visual Reasoning
🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06461
• PDF: https://arxiv.org/pdf/2509.06461
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06461
• PDF: https://arxiv.org/pdf/2509.06461
🔹 Datasets citing this paper:
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🔹 Title: Interleaving Reasoning for Better Text-to-Image Generation
🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06945
• PDF: https://arxiv.org/pdf/2509.06945
• Github: https://github.com/Osilly/Interleaving-Reasoning-Generation
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06945
• PDF: https://arxiv.org/pdf/2509.06945
• Github: https://github.com/Osilly/Interleaving-Reasoning-Generation
🔹 Datasets citing this paper:
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🔹 Title: WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents
🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06501
• PDF: https://arxiv.org/pdf/2509.06501
• Github: https://github.com/hkust-nlp/WebExplorer
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/hkust-nlp/WebExplorer-QA
🔹 Spaces citing this paper:
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🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06501
• PDF: https://arxiv.org/pdf/2509.06501
• Github: https://github.com/hkust-nlp/WebExplorer
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/hkust-nlp/WebExplorer-QA
🔹 Spaces citing this paper:
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🔹 Title: Test-Time Scaling in Reasoning Models Is Not Effective for Knowledge-Intensive Tasks Yet
🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06861
• PDF: https://arxiv.org/pdf/2509.06861
• Github: https://github.com/XuZhao0/tts-knowledge
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06861
• PDF: https://arxiv.org/pdf/2509.06861
• Github: https://github.com/XuZhao0/tts-knowledge
🔹 Datasets citing this paper:
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🔹 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
🔹 Spaces citing this paper:
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🔹 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
🔹 Spaces citing this paper:
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❤1
🔹 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
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06631
• PDF: https://arxiv.org/pdf/2509.06631
🔹 Datasets citing this paper:
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❤1
🔹 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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🔹 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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🔹 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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🔹 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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