✨MiroThinker-1.7 & H1: Towards Heavy-Duty Research Agents via Verification

📝 Summary:
MiroThinker-1.7 and MiroThinker-H1 are research agents that enhance complex reasoning through structured planning, contextual reasoning, and tool interaction, with MiroThinker-H1 incorporating verific...

🔹 Publication Date: Published on Mar 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.15726
• PDF: https://arxiv.org/pdf/2603.15726
• Project Page: https://www.miromind.ai/

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✨M^3: Dense Matching Meets Multi-View Foundation Models for Monocular Gaussian Splatting SLAM

📝 Summary:
Multi-view foundation model enhanced with matching head and monocular Gaussian splatting SLAM achieves improved pose estimation and scene reconstruction accuracy. AI-generated summary Streaming recons...

🔹 Publication Date: Published on Mar 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.16844
• PDF: https://arxiv.org/pdf/2603.16844
• Project Page: https://city-super.github.io/M3/
• Github: https://github.com/InternRobotics/M3

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✨Learning Human-Object Interaction for 3D Human Pose Estimation from LiDAR Point Clouds

📝 Summary:
Human-Object Interaction Learning framework addresses challenges in 3D human pose estimation from LiDAR point clouds by mitigating spatial ambiguity and class imbalance through contrastive learning an...

🔹 Publication Date: Published on Mar 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.16343
• PDF: https://arxiv.org/pdf/2603.16343
• Project Page: https://hoil-release.github.io/

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

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✨Polyglot-Lion: Efficient Multilingual ASR for Singapore via Balanced Fine-Tuning of Qwen3-ASR

📝 Summary:
Polyglot-Lion, a compact multilingual ASR model family for Singapore's linguistic diversity, achieves competitive performance with significantly reduced training cost and improved inference speed thro...

🔹 Publication Date: Published on Mar 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.16184
• PDF: https://arxiv.org/pdf/2603.16184
• Project Page: https://knoveleng.github.io/polyglot-lion/
• Github: https://github.com/knoveleng/polyglot-lion

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✨CCTU: A Benchmark for Tool Use under Complex Constraints

📝 Summary:
Solving problems through tool use under explicit constraints constitutes a highly challenging yet unavoidable scenario for large language models (LLMs), requiring capabilities such as function calling...

🔹 Publication Date: Published on Mar 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.15309
• PDF: https://arxiv.org/pdf/2603.15309
• Github: https://github.com/Junjie-Ye/CCTU

✨ Datasets citing this paper:
• https://huggingface.co/datasets/Junjie-Ye/CCTU

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

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✨Efficient Reasoning on the Edge

📝 Summary:
Lightweight reasoning in small language models is enabled through LoRA adapters, budget forcing via reinforcement learning, parallel test-time scaling, and dynamic adapter switching under strict resou...

🔹 Publication Date: Published on Mar 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.16867
• PDF: https://arxiv.org/pdf/2603.16867
• Project Page: https://qualcomm-ai-research.github.io/llm-reasoning-on-edge/

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✨MolmoB0T: Large-Scale Simulation Enables Zero-Shot Manipulation

📝 Summary:
Zero-shot sim-to-real transfer is demonstrated for robotic manipulation using large-scale synthetic data and vision-language models with flow-matching action heads, achieving high success rates withou...

🔹 Publication Date: Published on Mar 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.16861
• PDF: https://arxiv.org/pdf/2603.16861
• Project Page: https://allenai.org/blog/molmobot-robot-manipulation

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

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✨OneWorld: Taming Scene Generation with 3D Unified Representation Autoencoder

📝 Summary:
OneWorld enables 3D scene generation by performing diffusion in a unified 3D representation space using a 3D Unified Representation Autoencoder and specialized consistency losses. AI-generated summary...

🔹 Publication Date: Published on Mar 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.16099
• PDF: https://arxiv.org/pdf/2603.16099
• Github: https://github.com/SensenGao/OneWorld

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

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✨TRUST-SQL: Tool-Integrated Multi-Turn Reinforcement Learning for Text-to-SQL over Unknown Schemas

📝 Summary:
TRUST-SQL addresses unknown schema Text-to-SQL by employing a four-phase protocol and a Dual-Track GRPO strategy. This resolves credit assignment, achieving significant performance gains and matching baselines without pre-loaded metadata.

🔹 Publication Date: Published on Mar 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.16448
• PDF: https://arxiv.org/pdf/2603.16448

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

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✨Thinking in Uncertainty: Mitigating Hallucinations in MLRMs with Latent Entropy-Aware Decoding

📝 Summary:
Recent advancements in multimodal large reasoning models (MLRMs) have significantly improved performance in visual question answering. However, we observe that transition words (e.g., because, however...

🔹 Publication Date: Published on Mar 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.13366
• PDF: https://arxiv.org/pdf/2603.13366
• Project Page: https://mlrm-lead.github.io/
• Github: https://github.com/mlrm-LEAD/mlrm-LEAD

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

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✨FinToolBench: Evaluating LLM Agents for Real-World Financial Tool Use

📝 Summary:
FinToolBench presents the first real-world benchmark for evaluating financial tool learning agents, featuring 760 executable tools and comprehensive evaluation criteria beyond simple execution success...

🔹 Publication Date: Published on Mar 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.08262
• PDF: https://arxiv.org/pdf/2603.08262
• Github: https://github.com/Double-wk/FinToolBench

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

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✨One-Eval: An Agentic System for Automated and Traceable LLM Evaluation

📝 Summary:
One-Eval is an agentic evaluation system that automates large language model assessment by converting natural-language requests into executable workflows with integrated benchmark planning, dataset ha...

🔹 Publication Date: Published on Mar 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.09821
• PDF: https://arxiv.org/pdf/2603.09821
• Project Page: https://github.com/OpenDCAI/One-Eval
• Github: https://github.com/OpenDCAI/One-Eval

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

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✨SK-Adapter: Skeleton-Based Structural Control for Native 3D Generation

📝 Summary:
SK-Adapter enables precise 3D structural control by treating skeletons as direct inputs through a lightweight adapter network that injects learnable tokens into frozen 3D generation models via cross-a...

🔹 Publication Date: Published on Mar 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.14152
• PDF: https://arxiv.org/pdf/2603.14152
• Project Page: https://sk-adapter.github.io/
• Github: https://github.com/sk-adapter/SK-Adapter

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✨InCoder-32B: Code Foundation Model for Industrial Scenarios

📝 Summary:
InCoder-32B is a 32-billion-parameter code model for industrial programming tasks like chip design and GPU optimization. It was trained with extended context and execution verification, achieving strong performance on industrial benchmarks and competitive results on general tasks.

🔹 Publication Date: Published on Mar 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.16790
• PDF: https://arxiv.org/pdf/2603.16790
• Project Page: https://huggingface.co/Multilingual-Multimodal-NLP/IndustrialCoder
• Github: https://github.com/CSJianYang/Industrial-Coder

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✨Semi-Autonomous Formalization of the Vlasov-Maxwell-Landau Equilibrium

📝 Summary:
We present a complete Lean 4 formalization of the equilibrium characterization in the Vlasov-Maxwell-Landau (VML) system, which describes the motion of charged plasma. The project demonstrates the ful...

🔹 Publication Date: Published on Mar 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.15929
• PDF: https://arxiv.org/pdf/2603.15929
• Project Page: https://github.com/Vilin97/Clawristotle
• Github: https://github.com/Vilin97/Clawristotle

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

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✨From Passive Observer to Active Critic: Reinforcement Learning Elicits Process Reasoning for Robotic Manipulation

📝 Summary:
Accurate process supervision remains a critical challenge for long-horizon robotic manipulation. A primary bottleneck is that current video MLLMs, trained primarily under a Supervised Fine-Tuning (SFT...

🔹 Publication Date: Published on Mar 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.15600
• PDF: https://arxiv.org/pdf/2603.15600
• Project Page: https://huggingface.co/collections/LeonOverload/primo-r1

🔹 Models citing this paper:
• https://huggingface.co/LeonOverload/PRIMO-R1-7B
• https://huggingface.co/LeonOverload/PRIMO-COT-SFT-7B

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✨Kinema4D: Kinematic 4D World Modeling for Spatiotemporal Embodied Simulation

📝 Summary:
Kinema4D is a 4D generative robotic simulator for precise robot-world interactions. It combines kinematic robot control with spatiotemporal environmental reaction synthesis. This enables physically plausible, embodiment-agnostic simulations with zero-shot transfer capability.

🔹 Publication Date: Published on Mar 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.16669
• PDF: https://arxiv.org/pdf/2603.16669
• Project Page: https://mutianxu.github.io/Kinema4D-project-page/
• Github: https://github.com/mutianxu/Kinema4D

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#Robotics #Simulation #GenerativeAI #Kinematics #EmbodiedAI

✨Rethinking UMM Visual Generation: Masked Modeling for Efficient Image-Only Pre-training

📝 Summary:
IOMM is a data-efficient framework for UMM visual generation. It pre-trains with image-only data then fine-tunes with mixed data, achieving SOTA performance while significantly reducing computational costs.

🔹 Publication Date: Published on Mar 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.16139
• PDF: https://arxiv.org/pdf/2603.16139
• Github: https://github.com/LINs-lab/IOMM

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

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#UMMVisualGeneration #MaskedModeling #EfficientAI #ComputerVision #GenerativeAI

✨Anticipatory Planning for Multimodal AI Agents

📝 Summary:
TraceR1 is a two-stage reinforcement learning framework for multimodal AI agents. It enhances planning by training anticipatory trajectory reasoning to forecast future actions and refine them with execution feedback. This significantly improves planning stability, execution robustness, and genera...

🔹 Publication Date: Published on Mar 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.16777
• PDF: https://arxiv.org/pdf/2603.16777

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

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#AIAgents #MultimodalAI #ReinforcementLearning #AIPlanning #MachineLearning

✨ViT-AdaLA: Adapting Vision Transformers with Linear Attention

📝 Summary:
ViT-AdaLA adapts vision foundation models to linear attention Vision Transformers through attention alignment, feature alignment, and supervised fine-tuning to overcome quadratic complexity limitation...

🔹 Publication Date: Published on Mar 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.16063
• PDF: https://arxiv.org/pdf/2603.16063

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

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✨Test-Time Strategies for More Efficient and Accurate Agentic RAG

📝 Summary:
Test-time modifications to the Search-R1 pipeline improve retrieval efficiency and answer accuracy through contextualization and de-duplication modules. AI-generated summary Retrieval-Augmented Genera...

🔹 Publication Date: Published on Mar 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.12396
• PDF: https://arxiv.org/pdf/2603.12396

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

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