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✨Meissa: Multi-modal Medical Agentic Intelligence

📝 Summary:
Meissa is a lightweight 4B medical MM-LLM that achieves offline agentic capabilities by distilling trajectories from frontier models. It resolves high cost, latency, and privacy issues, matching or exceeding proprietary agents on 13 medical benchmarks with 25x fewer parameters and 22x lower latency.

🔹 Publication Date: Published on Mar 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.09018
• PDF: https://arxiv.org/pdf/2603.09018
• Github: https://github.com/Schuture/Meissa

🔹 Models citing this paper:
• https://huggingface.co/CYX1998/Meissa-4B

✨ Datasets citing this paper:
• https://huggingface.co/datasets/CYX1998/Meissa-SFT

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

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#MedicalAI #LLM #AIagents #MultiModalAI #Healthcare

✨SVG-EAR: Parameter-Free Linear Compensation for Sparse Video Generation via Error-aware Routing

📝 Summary:
SVG-EAR introduces a parameter-free method for video diffusion transformers to reduce quadratic attention cost. It recovers missing contributions via centroid approximation and uses error-aware routing to prioritize high-error blocks. This improves efficiency and quality, achieving significant sp...

🔹 Publication Date: Published on Mar 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.08982
• PDF: https://arxiv.org/pdf/2603.08982

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

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#VideoGeneration #DiffusionModels #Transformers #AIResearch #MachineLearning

✨Coarse-Guided Visual Generation via Weighted h-Transform Sampling

📝 Summary:
This paper presents a novel training-free method for coarse-guided visual generation using h-transform to guide diffusion models. It modifies sampling transition probabilities with a drift function and employs a noise-level-aware schedule. This balances guidance adherence and high-quality synthes...

🔹 Publication Date: Published on Mar 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.12057
• PDF: https://arxiv.org/pdf/2603.12057
• Github: https://github.com/HKUST-LongGroup/Coarse-guided-Gen

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✨NerVE: Nonlinear Eigenspectrum Dynamics in LLM Feed-Forward Networks

📝 Summary:
NerVE provides a unified framework for analyzing feed-forward network dynamics in large language models through spectral analysis metrics that reveal information flow organization and optimization imp...

🔹 Publication Date: Published on Mar 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.06922
• PDF: https://arxiv.org/pdf/2603.06922
• Project Page: https://nerve-eigenspectrum.github.io

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

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✨ShotVerse: Advancing Cinematic Camera Control for Text-Driven Multi-Shot Video Creation

📝 Summary:
ShotVerse introduces a plan-then-control framework for text-driven cinematic multi-shot video generation. It uses a VLM-based planner to generate camera trajectories and a controller for rendering them into video. Supported by a new calibrated dataset, ShotVerse-Bench, it achieves precise, consis...

🔹 Publication Date: Published on Mar 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.11421
• PDF: https://arxiv.org/pdf/2603.11421
• Project Page: https://shotverse.github.io/
• Github: https://github.com/Songlin1998/ShotVerse

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨WeEdit: A Dataset, Benchmark and Glyph-Guided Framework for Text-centric Image Editing

📝 Summary:
WeEdit presents a systematic approach for text-centric image editing with a scalable data pipeline, multi-language benchmarks, and a two-stage training strategy combining supervised fine-tuning and re...

🔹 Publication Date: Published on Mar 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.11593
• PDF: https://arxiv.org/pdf/2603.11593

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

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✨OmniStream: Mastering Perception, Reconstruction and Action in Continuous Streams

📝 Summary:
OmniStream is a unified visual backbone that processes streaming video data through causal spatiotemporal attention and 3D rotary positional embeddings, enabling general-purpose visual understanding a...

🔹 Publication Date: Published on Mar 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.12265
• PDF: https://arxiv.org/pdf/2603.12265
• Project Page: https://go2heart.github.io/omnistream/
• Github: https://github.com/Go2Heart/OmniStream

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

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✨Trust Your Critic: Robust Reward Modeling and Reinforcement Learning for Faithful Image Editing and Generation

📝 Summary:
Reinforcement learning framework with novel reward modeling and benchmarking approaches improves fidelity and instruction adherence in image editing and text-to-image generation. AI-generated summary ...

🔹 Publication Date: Published on Mar 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.12247
• PDF: https://arxiv.org/pdf/2603.12247
• Project Page: https://firm-reward.github.io/
• Github: https://github.com/VisionXLab/FIRM-Reward

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✨Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections

📝 Summary:
MADQA benchmark evaluates multimodal agents' strategic reasoning capabilities through diverse PDF document questions, revealing gaps between human-level accuracy and efficient reasoning performance. A...

🔹 Publication Date: Published on Mar 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.12180
• PDF: https://arxiv.org/pdf/2603.12180
• Project Page: https://huggingface.co/spaces/Snowflake/MADQA-Leaderboard
• Github: https://github.com/OxRML/MADQA

✨ Datasets citing this paper:
• https://huggingface.co/datasets/OxRML/MADQA

✨ Spaces citing this paper:
• https://huggingface.co/spaces/Snowflake/MADQA-Leaderboard

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

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✨GRADE: Benchmarking Discipline-Informed Reasoning in Image Editing

📝 Summary:
GRADE is introduced as the first benchmark for assessing discipline-informed knowledge and reasoning in image editing, revealing significant limitations in current models under knowledge-intensive edi...

🔹 Publication Date: Published on Mar 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.12264
• PDF: https://arxiv.org/pdf/2603.12264
• Project Page: https://grade-bench.github.io/
• Github: https://github.com/VisionXLab/GRADE

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

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✨EndoCoT: Scaling Endogenous Chain-of-Thought Reasoning in Diffusion Models

📝 Summary:
A novel framework called Endogenous Chain-of-Thought is proposed to enhance multimodal large language models' reasoning capabilities in diffusion frameworks by enabling iterative thought refinement an...

🔹 Publication Date: Published on Mar 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.12252
• PDF: https://arxiv.org/pdf/2603.12252
• Project Page: https://internlm.github.io/EndoCoT/
• Github: https://github.com/InternLM/EndoCoT

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✨Spatial-TTT: Streaming Visual-based Spatial Intelligence with Test-Time Training

📝 Summary:
Spatial-TTT enables streaming visual-based spatial intelligence through test-time training that adapts parameters to capture spatial evidence over long video sequences using hybrid architecture and 3D...

🔹 Publication Date: Published on Mar 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.12255
• PDF: https://arxiv.org/pdf/2603.12255
• Project Page: https://liuff19.github.io/Spatial-TTT/
• Github: https://github.com/THU-SI/Spatial-TTT

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

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✨Tiny Aya: Bridging Scale and Multilingual Depth

📝 Summary:
Tiny Aya demonstrates high-quality multilingual capabilities with 3.35 billion parameters through region-aware posttraining and balanced language performance. AI-generated summary Tiny Aya redefines w...

🔹 Publication Date: Published on Mar 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.11510
• PDF: https://arxiv.org/pdf/2603.11510

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

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✨Are Video Reasoning Models Ready to Go Outside?

📝 Summary:
ROVA is a training framework that enhances vision-language model robustness under real-world disturbances through spatio-temporal corruption modeling and adaptive sample difficulty assessment. AI-gene...

🔹 Publication Date: Published on Mar 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.10652
• PDF: https://arxiv.org/pdf/2603.10652
• Project Page: https://robust-video-reason.github.io/
• Github: https://github.com/codepassionor/ROVA

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

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✨Geometric Autoencoder for Diffusion Models

📝 Summary:
Geometric Autoencoder (GAE) presents a principled approach to latent diffusion modeling by optimizing semantic supervision, latent manifold stability, and reconstruction robustness through geometric a...

🔹 Publication Date: Published on Mar 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.10365
• PDF: https://arxiv.org/pdf/2603.10365
• Project Page: https://huggingface.co/sii-research/gae-imagenet256-f16d32
• Github: https://github.com/sii-research/GAE

🔹 Models citing this paper:
• https://huggingface.co/GK50/GAE-Checkpoints
• https://huggingface.co/sii-research/gae-imagenet256-f16d32

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

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✨Video-Based Reward Modeling for Computer-Use Agents

📝 Summary:
Video-execution reward modeling enables scalable evaluation of computer-using agents by predicting task success from user instructions and execution videos, outperforming proprietary models across mul...

🔹 Publication Date: Published on Mar 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.10178
• PDF: https://arxiv.org/pdf/2603.10178
• Github: https://github.com/limenlp/ExeVRM

🔹 Models citing this paper:
• https://huggingface.co/lime-nlp/ExeVRM-8B

✨ Datasets citing this paper:
• https://huggingface.co/datasets/lime-nlp/ExeVR-53k

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

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✨TeamHOI: Learning a Unified Policy for Cooperative Human-Object Interactions with Any Team Size

📝 Summary:
TeamHOI enables decentralized cooperative human-object interaction using a Transformer-based policy with teammate tokens and a masked adversarial motion prior for realistic multi-agent coordination. A...

🔹 Publication Date: Published on Mar 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.07988
• PDF: https://arxiv.org/pdf/2603.07988
• Project Page: https://splionar.github.io/TeamHOI/
• Github: https://github.com/sail-sg/TeamHOI

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✨SoundWeaver: Semantic Warm-Starting for Text-to-Audio Diffusion Serving

📝 Summary:
SoundWeaver accelerates text-to-audio diffusion generation by caching semantically similar audio and dynamically skipping function evaluations, achieving significant latency reduction with minimal qua...

🔹 Publication Date: Published on Mar 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.07865
• PDF: https://arxiv.org/pdf/2603.07865

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

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✨DreamVideo-Omni: Omni-Motion Controlled Multi-Subject Video Customization with Latent Identity Reinforcement Learning

📝 Summary:
DreamVideo-Omni is a unified framework for video synthesis that enables precise multi-subject identity control and multi-granularity motion manipulation through a two-stage training approach combining...

🔹 Publication Date: Published on Mar 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.12257
• PDF: https://arxiv.org/pdf/2603.12257
• Project Page: https://dreamvideo-omni.github.io/
• Github: https://dreamvideo-omni.github.io/

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✨Examining Reasoning LLMs-as-Judges in Non-Verifiable LLM Post-Training

📝 Summary:
Research examines the effectiveness of reasoning versus non-reasoning large language model judges in reinforcement learning-based alignment, revealing that reasoning judges prevent reward hacking but ...

🔹 Publication Date: Published on Mar 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.12246
• PDF: https://arxiv.org/pdf/2603.12246

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

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