✨Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning

📝 Summary:
Fast-ThinkAct is an efficient vision-language-action framework that reduces inference latency by 89.3% through compact latent reasoning while maintaining long-horizon planning and few-shot adaptation ...

🔹 Publication Date: Published on Jan 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.09708
• PDF: https://arxiv.org/pdf/2601.09708
• Project Page: https://jasper0314-huang.github.io/fast-thinkact/
• Github: https://jasper0314-huang.github.io/fast-thinkact/

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✨A^3-Bench: Benchmarking Memory-Driven Scientific Reasoning via Anchor and Attractor Activation

📝 Summary:
Scientific reasoning relies not only on logical inference but also on activating prior knowledge and experiential structures. Memory can efficiently reuse knowledge and enhance reasoning consistency a...

🔹 Publication Date: Published on Jan 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.09274
• PDF: https://arxiv.org/pdf/2601.09274

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✨MAXS: Meta-Adaptive Exploration with LLM Agents

📝 Summary:
MAXS is a meta-adaptive reasoning framework for LLM agents that improves multi-tool reasoning through lookahead strategies and trajectory convergence mechanisms, balancing global effectiveness and com...

🔹 Publication Date: Published on Jan 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.09259
• PDF: https://arxiv.org/pdf/2601.09259

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✨Controlled Self-Evolution for Algorithmic Code Optimization

📝 Summary:
Controlled Self-Evolution method improves code generation through diversified initialization, feedback-guided genetic evolution, and hierarchical memory to enhance exploration efficiency and solution ...

🔹 Publication Date: Published on Jan 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.07348
• PDF: https://arxiv.org/pdf/2601.07348

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✨SkinFlow: Efficient Information Transmission for Open Dermatological Diagnosis via Dynamic Visual Encoding and Staged RL

📝 Summary:
SkinFlow optimizes dermatological diagnosis by enhancing visual information transmission efficiency, addressing 'diffuse attention' in large models. It uses a Dynamic Vision Encoder and two-stage RL to significantly outperform massive general-purpose models, proving efficiency beats raw parameter...

🔹 Publication Date: Published on Jan 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.09136
• PDF: https://arxiv.org/pdf/2601.09136

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✨Are LLMs Vulnerable to Preference-Undermining Attacks (PUA)? A Factorial Analysis Methodology for Diagnosing the Trade-off between Preference Alignment and Real-World Validity

📝 Summary:
Research examines how large language models can be manipulated through preference-undermining attacks that exploit alignment objectives, revealing model vulnerabilities and proposing a factorial evalu...

🔹 Publication Date: Published on Jan 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.06596
• PDF: https://arxiv.org/pdf/2601.06596

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✨FocusUI: Efficient UI Grounding via Position-Preserving Visual Token Selection

📝 Summary:
FocusUI is an efficient UI grounding framework that reduces computational overhead by selecting relevant visual tokens while preserving positional continuity through a novel PosPad strategy. AI-genera...

🔹 Publication Date: Published on Jan 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2601.03928
• PDF: https://arxiv.org/pdf/2601.03928
• Github: https://github.com/showlab/FocusUI

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✨Efficient Camera-Controlled Video Generation of Static Scenes via Sparse Diffusion and 3D Rendering

📝 Summary:
Diffusion-based video generation is made more efficient through keyframe-based 3D reconstruction and rendering, enabling faster synthesis with maintained visual quality. AI-generated summary Modern vi...

🔹 Publication Date: Published on Jan 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.09697
• PDF: https://arxiv.org/pdf/2601.09697

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✨DeepResearchEval: An Automated Framework for Deep Research Task Construction and Agentic Evaluation

📝 Summary:
DeepResearchEval presents an automated framework for creating complex research tasks and evaluating them through agent-based methods that adapt to task specifics and verify facts without relying on ci...

🔹 Publication Date: Published on Jan 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.09688
• PDF: https://arxiv.org/pdf/2601.09688
• Github: https://github.com/Infinity-AILab/DeepResearchEval

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✨TranslateGemma Technical Report

📝 Summary:
TranslateGemma enhances Gemma 3's multilingual capabilities through two-stage fine-tuning with synthetic and human-translated data, achieving superior translation quality with improved efficiency. AI-...

🔹 Publication Date: Published on Jan 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.09012
• PDF: https://arxiv.org/pdf/2601.09012

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