✨Locality-Attending Vision Transformer

📝 Summary:
Vision transformers are enhanced for segmentation tasks through a Gaussian kernel modulation that improves local attention while maintaining classification performance. AI-generated summary Vision tra...

🔹 Publication Date: Published on Mar 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.04892
• PDF: https://arxiv.org/pdf/2603.04892
• Github: https://github.com/sinahmr/LocAtViT

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✨RealWonder: Real-Time Physical Action-Conditioned Video Generation

📝 Summary:
RealWonder enables real-time action-conditioned video generation by integrating 3D reconstruction, physics simulation, and a distilled video generator to simulate physical consequences of 3D actions. ...

🔹 Publication Date: Published on Mar 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.05449
• PDF: https://arxiv.org/pdf/2603.05449
• Project Page: https://liuwei283.github.io/RealWonder/
• Github: https://github.com/liuwei283/RealWonder

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✨KARL: Knowledge Agents via Reinforcement Learning

📝 Summary:
A reinforcement learning system for enterprise search agents achieves superior performance through diverse training data generation and multi-task learning approaches. AI-generated summary We present ...

🔹 Publication Date: Published on Mar 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.05218
• PDF: https://arxiv.org/pdf/2603.05218

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✨Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling

📝 Summary:
Timer-S1 is a scalable Mixture-of-Experts time series model with 8.3B parameters that uses serial scaling and novel TimeMoE blocks to improve long-term forecasting accuracy. AI-generated summary We in...

🔹 Publication Date: Published on Mar 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.04791
• PDF: https://arxiv.org/pdf/2603.04791

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✨DreamWorld: Unified World Modeling in Video Generation

📝 Summary:
DreamWorld introduces a unified framework for video generation that integrates multiple types of world knowledge through joint modeling of temporal dynamics, spatial geometry, and semantic consistency...

🔹 Publication Date: Published on Feb 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.00466
• PDF: https://arxiv.org/pdf/2603.00466
• Github: https://github.com/ABU121111/DreamWorld

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✨Towards Multimodal Lifelong Understanding: A Dataset and Agentic Baseline

📝 Summary:
MM-Lifelong dataset captures natural video sequences across multiple temporal scales to evaluate multimodal lifelong understanding, revealing limitations in current approaches and introducing a recurs...

🔹 Publication Date: Published on Mar 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.05484
• PDF: https://arxiv.org/pdf/2603.05484
• Project Page: https://huggingface.co/datasets/CG-Bench/MM-Lifelong
• Github: https://github.com/cg1177/Recursive-Multimodal-Agent

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✨On-Policy Self-Distillation for Reasoning Compression

📝 Summary:
OPSDC enables efficient reasoning model compression by having models distill concise behavior from their own outputs, achieving significant token reduction while maintaining accuracy. AI-generated sum...

🔹 Publication Date: Published on Mar 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.05433
• PDF: https://arxiv.org/pdf/2603.05433

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✨UltraDexGrasp: Learning Universal Dexterous Grasping for Bimanual Robots with Synthetic Data

📝 Summary:
A bimanual robotic grasping framework is presented that generates diverse grasp data through optimization and planning, enabling effective zero-shot sim-to-real transfer with high success rates on nov...

🔹 Publication Date: Published on Mar 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.05312
• PDF: https://arxiv.org/pdf/2603.05312

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

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✨Distribution-Conditioned Transport

📝 Summary:
Distribution-conditioned transport framework enables generalization to unseen distribution pairs and supports semi-supervised learning for scientific applications. AI-generated summary Learning a tran...

🔹 Publication Date: Published on Mar 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.04736
• PDF: https://arxiv.org/pdf/2603.04736

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

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✨SageBwd: A Trainable Low-bit Attention

📝 Summary:
Research investigates why low-bit attention methods like SageBwd exhibit performance gaps during pre-training and identifies key factors for stable training with reduced precision. AI-generated summar...

🔹 Publication Date: Published on Mar 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.02170
• PDF: https://arxiv.org/pdf/2603.02170
• Project Page: https://github.com/thu-ml/SageAttention

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

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✨AgentVista: Evaluating Multimodal Agents in Ultra-Challenging Realistic Visual Scenarios

📝 Summary:
AgentVista presents a comprehensive benchmark for multimodal agents requiring long-horizon tool interactions across multiple modalities and complex real-world scenarios. AI-generated summary Real-worl...

🔹 Publication Date: Published on Feb 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.23166
• PDF: https://arxiv.org/pdf/2602.23166

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

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✨RoboPocket: Improve Robot Policies Instantly with Your Phone

📝 Summary:
RoboPocket enables efficient, robot-free policy iteration via smartphones. It uses augmented reality to visualize policy weaknesses, guiding data collection, and asynchronous online finetuning to update policies quickly. This doubles data and sample efficiency.

🔹 Publication Date: Published on Mar 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.05504
• PDF: https://arxiv.org/pdf/2603.05504
• Project Page: https://robo-pocket.github.io

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

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✨Large Multimodal Models as General In-Context Classifiers

📝 Summary:
Large Multimodal Models demonstrate superior performance in closed-world classification with in-context learning and excel in open-world scenarios when equipped with the proposed CIRCLE method for pse...

🔹 Publication Date: Published on Feb 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.23229
• PDF: https://arxiv.org/pdf/2602.23229
• Project Page: https://circle-lmm.github.io/
• Github: https://github.com/marco-garosi/CIRCLE

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✨GLiNER2: An Efficient Multi-Task Information Extraction System with Schema-Driven Interface

📝 Summary:
GLiNER2 is a unified transformer-based framework that supports multiple NLP tasks with improved efficiency and accessibility compared to large language models. AI-generated summary Information extract...

🔹 Publication Date: Published on Jul 24, 2025

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2507.18546
• PDF: https://arxiv.org/pdf/2507.18546
• Github: https://github.com/fastino-ai/GLiNER2

🔹 Models citing this paper:
• https://huggingface.co/fastino/gliner2-base-v1
• https://huggingface.co/fastino/gliner2-large-v1
• https://huggingface.co/fastino/gliner2-multi-v1

✨ Spaces citing this paper:
• https://huggingface.co/spaces/sitammeur/GLiNER2-Suite
• https://huggingface.co/spaces/fastino/gliner2-official-demo
• https://huggingface.co/spaces/sohom004/testdup

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

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✨Mozi: Governed Autonomy for Drug Discovery LLM Agents

📝 Summary:
Mozi is a dual-layer framework for reliable drug discovery LLM agents, solving issues of tool-use governance and long-horizon reliability. It uses a control plane for isolated tool-use and replanning, plus a workflow plane for structured stages with human oversight, ensuring robust, auditable res...

🔹 Publication Date: Published on Mar 4

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.03655
• PDF: https://arxiv.org/pdf/2603.03655
• Project Page: https://ai4s.idea.edu.cn/ai4s/mozi

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#LLMAgents #DrugDiscovery #AI #MachineLearning #AutonomousAgents

✨MASQuant: Modality-Aware Smoothing Quantization for Multimodal Large Language Models

📝 Summary:
MASQuant improves multimodal LLM quantization by resolving smoothing misalignment and cross-modal invariance. It uses modality-aware smoothing and SVD whitening for cross-modal compensation, achieving stable, competitive performance.

🔹 Publication Date: Published on Mar 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.04800
• PDF: https://arxiv.org/pdf/2603.04800

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

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#MultimodalAI #LLM #Quantization #DeepLearning #AIResearch

✨SkillNet: Create, Evaluate, and Connect AI Skills

📝 Summary:
SkillNet is an open infrastructure that systematically creates, evaluates, and organizes AI skills using a unified ontology. This overcomes the lack of skill accumulation in current agents, significantly boosting performance by 40 percent in rewards and reducing execution steps by 30 percent.

🔹 Publication Date: Published on Feb 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.04448
• PDF: https://arxiv.org/pdf/2603.04448
• Project Page: https://skillnet.openkg.cn/
• Github: https://github.com/zjunlp/SkillNet

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#AI #AISkills #AIAgents #Ontology #MachineLearning

✨STMI: Segmentation-Guided Token Modulation with Cross-Modal Hypergraph Interaction for Multi-Modal Object Re-Identification

📝 Summary:
STMI is a novel multi-modal ReID framework that improves object re-identification. It uses segmentation-guided modulation for foreground enhancement, token reallocation for compact features, and cross-modal hypergraph interaction to capture high-order semantic relationships.

🔹 Publication Date: Published on Feb 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.00695
• PDF: https://arxiv.org/pdf/2603.00695

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#ObjectReID #ComputerVision #DeepLearning #MultiModalAI #STMI