✨GeoMotionGPT: Geometry-Aligned Motion Understanding with Large Language Models

📝 Summary:
GeoMotionGPT introduces a framework aligning motion token geometry with language model embeddings using orthogonal constraints and sparse projection. This unified geometric basis enhances LLM motion reasoning, achieving a 20% performance improvement on HumanML3D.

🔹 Publication Date: Published on Jan 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.07632
• PDF: https://arxiv.org/pdf/2601.07632
• Project Page: https://huggingface.co/papers?q=sparse%20projection
• Github: https://github.com/JYe16/GeoMotionGPT

🔹 Models citing this paper:
• https://huggingface.co/zy22b/GeoMotionGPT

==================================

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✨The Agent's First Day: Benchmarking Learning, Exploration, and Scheduling in the Workplace Scenarios

📝 Summary:
EvoEnv is a new dynamic evaluation environment for MLLMs. It assesses agent robustness in real-world tasks, focusing on context-aware scheduling, active exploration, and continuous learning. Current MLLMs show significant deficiencies in these dynamic scenarios.

🔹 Publication Date: Published on Jan 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.08173
• PDF: https://arxiv.org/pdf/2601.08173
• Github: https://github.com/KnowledgeXLab/EvoEnv

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✨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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✨OpenVoxel: Training-Free Grouping and Captioning Voxels for Open-Vocabulary 3D Scene Understanding

📝 Summary:
OpenVoxel enables open-vocabulary 3D scene understanding through training-free grouping and captioning of sparse voxels using Vision Language Models and Multi-modal Large Language Models. AI-generated...

🔹 Publication Date: Published on Jan 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.09575
• PDF: https://arxiv.org/pdf/2601.09575

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✨EvoFSM: Controllable Self-Evolution for Deep Research with Finite State Machines

📝 Summary:
EvoFSM is a structured self-evolving framework for LLM agents that uses finite state machines to improve adaptability while maintaining control through constrained optimization and memory mechanisms. ...

🔹 Publication Date: Published on Jan 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.09465
• PDF: https://arxiv.org/pdf/2601.09465

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✨The AI Hippocampus: How Far are We From Human Memory?

📝 Summary:
Memory mechanisms in large language models and multi-modal language models are categorized into implicit, explicit, and agentic paradigms, supporting enhanced reasoning, adaptability, and contextual f...

🔹 Publication Date: Published on Jan 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.09113
• PDF: https://arxiv.org/pdf/2601.09113

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✨ExpSeek: Self-Triggered Experience Seeking for Web Agents

📝 Summary:
ExpSeek enables web agents to proactively seek experience during interaction using entropy-based timing and tailored content. This step-level approach significantly improves performance over passive methods, even when using smaller experience models.

🔹 Publication Date: Published on Jan 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.08605
• PDF: https://arxiv.org/pdf/2601.08605

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✨Imagine-then-Plan: Agent Learning from Adaptive Lookahead with World Models

📝 Summary:
Imagine-then-Plan framework enables agent learning through adaptive lookahead imagination, combining imagined trajectories with current observations to guide policy learning in complex task scenarios....

🔹 Publication Date: Published on Jan 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.08955
• PDF: https://arxiv.org/pdf/2601.08955

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✨Focal Guidance: Unlocking Controllability from Semantic-Weak Layers in Video Diffusion Models

📝 Summary:
Diffusion Transformer-based image-to-video models suffer from condition isolation where visual attention becomes detached from text guidance; focal guidance addresses this through fine-grained semanti...

🔹 Publication Date: Published on Jan 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.07287
• PDF: https://arxiv.org/pdf/2601.07287

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✨Distribution-Aligned Sequence Distillation for Superior Long-CoT Reasoning

📝 Summary:
DASD-4B-Thinking is a new lightweight model achieving state-of-the-art reasoning by enhancing sequence-level distillation. It addresses limitations in current teacher-student knowledge transfer by better capturing the teachers full output distribution, using significantly fewer training samples.

🔹 Publication Date: Published on Jan 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.09088
• PDF: https://arxiv.org/pdf/2601.09088
• Project Page: https://github.com/D2I-ai/dasd-thinking
• Github: https://github.com/D2I-ai/dasd-thinking

🔹 Models citing this paper:
• https://huggingface.co/Alibaba-Apsara/DASD-4B-Thinking
• https://huggingface.co/Alibaba-Apsara/DASD-30B-A3B-Thinking-Preview

✨ Datasets citing this paper:
• https://huggingface.co/datasets/Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b
• https://huggingface.co/datasets/Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b-Logprob

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✨Geometric Stability: The Missing Axis of Representations

📝 Summary:
This paper introduces geometric stability, a new metric quantifying how reliably representational geometry holds under perturbation. It is distinct from similarity, offering complementary insights for safety monitoring, controllability, and model selection across diverse systems.

🔹 Publication Date: Published on Jan 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.09173
• PDF: https://arxiv.org/pdf/2601.09173
• Github: https://github.com/prashantcraju/geometric-stability

🔹 Models citing this paper:
• https://huggingface.co/pcr2120/shesha-geometry

==================================

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