✨Omnilingual MT: Machine Translation for 1,600 Languages

📝 Summary:
Omnilingual MT OMT is the first system to support over 1,600 languages. It uses specialized smaller LLMs 1B-8B to outperform 70B baselines, achieving high-quality translation and coherent generation in low-compute settings.

🔹 Publication Date: Published on Mar 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.16309
• PDF: https://arxiv.org/pdf/2603.16309

✨ Datasets citing this paper:
• https://huggingface.co/datasets/facebook/bouquet

✨ Spaces citing this paper:
• https://huggingface.co/spaces/facebook/bouquet

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✨Sparking Scientific Creativity via LLM-Driven Interdisciplinary Inspiration

📝 Summary:
Idea-Catalyst is a framework that supports interdisciplinary research by identifying insights across domains to enhance creative reasoning in scientific discovery. AI-generated summary Despite interdi...

🔹 Publication Date: Published on Mar 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.12226
• PDF: https://arxiv.org/pdf/2603.12226
• Project Page: https://pkargupta.github.io/idea_catalyst.html
• Github: https://pkargupta.github.io/idea_catalyst.html

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✨HistoAtlas: A Pan-Cancer Morphology Atlas Linking Histomics to Molecular Programs and Clinical Outcomes

📝 Summary:
HistoAtlas is a pan-cancer computational map linking 38 H&E histomic features to patient outcomes and molecular profiles across 21 cancer types. It reveals new biology and allows biomarker discovery from routine slides.

🔹 Publication Date: Published on Mar 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.16587
• PDF: https://arxiv.org/pdf/2603.16587
• Project Page: https://histoatlas.com
• Github: https://github.com/HistoAtlas/HistoAtlas

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✨SparkVSR: Interactive Video Super-Resolution via Sparse Keyframe Propagation

📝 Summary:
SparkVSR offers interactive video super-resolution using sparse keyframes as user control. It propagates high-resolution keyframe information through the video, guided by motion, enhancing temporal consistency and restoration quality.

🔹 Publication Date: Published on Mar 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.16864
• PDF: https://arxiv.org/pdf/2603.16864
• Project Page: https://sparkvsr.github.io/
• Github: https://github.com/taco-group/SparkVSR

🔹 Models citing this paper:
• https://huggingface.co/JiongzeYu/SparkVSR

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

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✨MEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM Games

📝 Summary:
MEMO, a memory-augmented model context optimization framework, improves multi-agent LLM game performance and stability through retained insights and exploratory prompt evolution with uncertainty-aware...

🔹 Publication Date: Published on Mar 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.09022
• PDF: https://arxiv.org/pdf/2603.09022
• Project Page: https://yunfeixie233.github.io/MEMO/
• Github: https://github.com/openverse-ai/MEMO

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✨V-Co: A Closer Look at Visual Representation Alignment via Co-Denoising

📝 Summary:
Pixel-space diffusion models can be enhanced through visual co-denoising techniques that incorporate pretrained visual features, with systematic analysis revealing key architectural and training compo...

🔹 Publication Date: Published on Mar 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.16792
• PDF: https://arxiv.org/pdf/2603.16792

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

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✨ECG-Reasoning-Benchmark: A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation

📝 Summary:
W h i l e M u l t i m o d a l L a r g e L a n g u a g e M o d e l s ( M L L M s ) s h o w p r o m i s i n g p e r f o r m a n c e i n a u t o m a t e d e l e c t r o c a r d i o g r a m i n t e r p r ...

🔹 Publication Date: Published on Mar 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.14326
• PDF: https://arxiv.org/pdf/2603.14326

✨ Datasets citing this paper:
• https://huggingface.co/datasets/Jwoo5/ECG-Reasoning-Benchmark

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

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✨Residual Stream Duality in Modern Transformer Architectures

📝 Summary:
The residual stream in Transformers can be viewed through a two-axis framework where sequence position and layer depth provide different pathways for information flow, with causal depth-wise residual ...

🔹 Publication Date: Published on Mar 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.16039
• PDF: https://arxiv.org/pdf/2603.16039
• Project Page: https://github.com/yifanzhang-pro/residual-stream-duality
• Github: https://github.com/yifanzhang-pro/residual-stream-duality

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✨ARISE: Agent Reasoning with Intrinsic Skill Evolution in Hierarchical Reinforcement Learning

📝 Summary:
A hierarchical reinforcement learning framework named ARISE employs a skill management system to improve mathematical reasoning in language models through reusable strategies and structured skill libr...

🔹 Publication Date: Published on Mar 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.16060
• PDF: https://arxiv.org/pdf/2603.16060
• Github: https://github.com/Skylanding/ARISE

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

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✨MDM-Prime-v2: Binary Encoding and Index Shuffling Enable Compute-optimal Scaling of Diffusion Language Models

📝 Summary:
MDM-Prime-v2 enhances masked diffusion language models with Binary Encoding and Index Shuffling. It is 21.8 times more compute-efficient than autoregressive models, achieving significantly better perplexity and zero-shot accuracy.

🔹 Publication Date: Published on Mar 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.16077
• PDF: https://arxiv.org/pdf/2603.16077
• Project Page: https://chen-hao-chao.github.io/mdm-prime-v2/
• Github: https://github.com/chen-hao-chao/mdm-prime-v2

🔹 Models citing this paper:
• https://huggingface.co/chen-hao-chao/mdm-prime-v2-c4
• https://huggingface.co/chen-hao-chao/mdm-prime-v2-slimpajama

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