🔹 Title: ConsistEdit: Highly Consistent and Precise Training-free Visual Editing
🔹 Publication Date: Published on Oct 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17803
• PDF: https://arxiv.org/pdf/2510.17803
• Project Page: https://zxyin.github.io/ConsistEdit
• Github: https://github.com/zxYin/ConsistEdit_Code
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🔹 Publication Date: Published on Oct 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17803
• PDF: https://arxiv.org/pdf/2510.17803
• Project Page: https://zxyin.github.io/ConsistEdit
• Github: https://github.com/zxYin/ConsistEdit_Code
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🔹 Title: Distractor Injection Attacks on Large Reasoning Models: Characterization and Defense
🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16259
• PDF: https://arxiv.org/pdf/2510.16259
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/groupfairnessllm/tulu-3-preference-data-with-distraction
• https://huggingface.co/datasets/groupfairnessllm/tulu-3-sft-personas-instruction-following-with-distraction
• https://huggingface.co/datasets/groupfairnessllm/tulu-3-preference-personas-math-with-distraction
• https://huggingface.co/datasets/groupfairnessllm/tulu-3-preference-personas-instruction-following-with-distraction
🔹 Spaces citing this paper:
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🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16259
• PDF: https://arxiv.org/pdf/2510.16259
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/groupfairnessllm/tulu-3-preference-data-with-distraction
• https://huggingface.co/datasets/groupfairnessllm/tulu-3-sft-personas-instruction-following-with-distraction
• https://huggingface.co/datasets/groupfairnessllm/tulu-3-preference-personas-math-with-distraction
• https://huggingface.co/datasets/groupfairnessllm/tulu-3-preference-personas-instruction-following-with-distraction
🔹 Spaces citing this paper:
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🔹 Title: FineVision: Open Data Is All You Need
🔹 Publication Date: Published on Oct 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17269
• PDF: https://arxiv.org/pdf/2510.17269
• Project Page: https://huggingface.co/spaces/HuggingFaceM4/FineVision
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17269
• PDF: https://arxiv.org/pdf/2510.17269
• Project Page: https://huggingface.co/spaces/HuggingFaceM4/FineVision
🔹 Datasets citing this paper:
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🔹 Title: Visual Autoregressive Models Beat Diffusion Models on Inference Time Scaling
🔹 Publication Date: Published on Oct 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16751
• PDF: https://arxiv.org/pdf/2510.16751
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16751
• PDF: https://arxiv.org/pdf/2510.16751
🔹 Datasets citing this paper:
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🔹 Title: Beyond Pipelines: A Survey of the Paradigm Shift toward Model-Native Agentic AI
🔹 Publication Date: Published on Oct 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16720
• PDF: https://arxiv.org/pdf/2510.16720
• Project Page: https://github.com/ADaM-BJTU/model-native-agentic-ai
• Github: https://github.com/ADaM-BJTU/model-native-agentic-ai
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🔹 Publication Date: Published on Oct 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16720
• PDF: https://arxiv.org/pdf/2510.16720
• Project Page: https://github.com/ADaM-BJTU/model-native-agentic-ai
• Github: https://github.com/ADaM-BJTU/model-native-agentic-ai
🔹 Datasets citing this paper:
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🔹 Title: Enterprise Deep Research: Steerable Multi-Agent Deep Research for Enterprise Analytics
🔹 Publication Date: Published on Oct 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17797
• PDF: https://arxiv.org/pdf/2510.17797
• Github: https://huggingface.co/papers?q=github
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17797
• PDF: https://arxiv.org/pdf/2510.17797
• Github: https://huggingface.co/papers?q=github
🔹 Datasets citing this paper:
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🔹 Title: Deep Self-Evolving Reasoning
🔹 Publication Date: Published on Oct 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17498
• PDF: https://arxiv.org/pdf/2510.17498
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17498
• PDF: https://arxiv.org/pdf/2510.17498
🔹 Datasets citing this paper:
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🔹 Title: Balanced Multi-Task Attention for Satellite Image Classification: A Systematic Approach to Achieving 97.23% Accuracy on EuroSAT Without Pre-Training
🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15527
• PDF: https://arxiv.org/pdf/2510.15527
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15527
• PDF: https://arxiv.org/pdf/2510.15527
🔹 Datasets citing this paper:
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🔹 Title: Knowledge-based Visual Question Answer with Multimodal Processing, Retrieval and Filtering
🔹 Publication Date: Published on Oct 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14605
• PDF: https://arxiv.org/pdf/2510.14605
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14605
• PDF: https://arxiv.org/pdf/2510.14605
🔹 Datasets citing this paper:
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🔹 Title: AsyncVoice Agent: Real-Time Explanation for LLM Planning and Reasoning
🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16156
• PDF: https://arxiv.org/pdf/2510.16156
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16156
• PDF: https://arxiv.org/pdf/2510.16156
🔹 Datasets citing this paper:
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🔹 Title: Glyph: Scaling Context Windows via Visual-Text Compression
🔹 Publication Date: Published on Oct 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17800
• PDF: https://arxiv.org/pdf/2510.17800
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17800
• PDF: https://arxiv.org/pdf/2510.17800
🔹 Datasets citing this paper:
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🔹 Title: Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback
🔹 Publication Date: Published on Oct 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16888
• PDF: https://arxiv.org/pdf/2510.16888
• Github: https://github.com/PKU-YuanGroup/UniWorld-V2
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16888
• PDF: https://arxiv.org/pdf/2510.16888
• Github: https://github.com/PKU-YuanGroup/UniWorld-V2
🔹 Datasets citing this paper:
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🔹 Title: Annotation-Efficient Universal Honesty Alignment
🔹 Publication Date: Published on Oct 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17509
• PDF: https://arxiv.org/pdf/2510.17509
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17509
• PDF: https://arxiv.org/pdf/2510.17509
🔹 Datasets citing this paper:
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🔹 Title: RL makes MLLMs see better than SFT
🔹 Publication Date: Published on Oct 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16333
• PDF: https://arxiv.org/pdf/2510.16333
• Project Page: https://june-page.github.io/pivot/
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16333
• PDF: https://arxiv.org/pdf/2510.16333
• Project Page: https://june-page.github.io/pivot/
🔹 Datasets citing this paper:
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🔹 Title: UltraCUA: A Foundation Model for Computer Use Agents with Hybrid Action
🔹 Publication Date: Published on Oct 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17790
• PDF: https://arxiv.org/pdf/2510.17790
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17790
• PDF: https://arxiv.org/pdf/2510.17790
🔹 Datasets citing this paper:
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🔹 Title: Embody 3D: A Large-scale Multimodal Motion and Behavior Dataset
🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16258
• PDF: https://arxiv.org/pdf/2510.16258
• Project Page: https://www.meta.com/emerging-tech/codec-avatars/embody-3d/
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16258
• PDF: https://arxiv.org/pdf/2510.16258
• Project Page: https://www.meta.com/emerging-tech/codec-avatars/embody-3d/
🔹 Datasets citing this paper:
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❤1
🔹 Title: When to Ensemble: Identifying Token-Level Points for Stable and Fast LLM Ensembling
🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15346
• PDF: https://arxiv.org/pdf/2510.15346
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15346
• PDF: https://arxiv.org/pdf/2510.15346
🔹 Datasets citing this paper:
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🔹 Title: Constantly Improving Image Models Need Constantly Improving Benchmarks
🔹 Publication Date: Published on Oct 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15021
• PDF: https://arxiv.org/pdf/2510.15021
• Project Page: https://echo-bench.github.io/
• Github: https://github.com/para-lost/ECHO
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/echo-bench/echo2025
🔹 Spaces citing this paper:
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🔹 Publication Date: Published on Oct 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15021
• PDF: https://arxiv.org/pdf/2510.15021
• Project Page: https://echo-bench.github.io/
• Github: https://github.com/para-lost/ECHO
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/echo-bench/echo2025
🔹 Spaces citing this paper:
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🔹 Title: Foundational Automatic Evaluators: Scaling Multi-Task Generative Evaluator Training for Reasoning-Centric Domains
🔹 Publication Date: Published on Oct 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17793
• PDF: https://arxiv.org/pdf/2510.17793
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17793
• PDF: https://arxiv.org/pdf/2510.17793
🔹 Datasets citing this paper:
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❤1
🔹 Title: Chronos-2: From Univariate to Universal Forecasting
🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15821
• PDF: https://arxiv.org/pdf/2510.15821
• Github: https://github.com/amazon-science/chronos-forecasting
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15821
• PDF: https://arxiv.org/pdf/2510.15821
• Github: https://github.com/amazon-science/chronos-forecasting
🔹 Datasets citing this paper:
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🔹 Title: GuideFlow3D: Optimization-Guided Rectified Flow For Appearance Transfer
🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16136
• PDF: https://arxiv.org/pdf/2510.16136
• Github: https://github.com/GradientSpaces/GuideFlow3D
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16136
• PDF: https://arxiv.org/pdf/2510.16136
• Github: https://github.com/GradientSpaces/GuideFlow3D
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