ML Research Hub
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Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.

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TAPESTRY: From Geometry to Appearance via Consistent Turntable Videos

📝 Summary:
TAPESTRY generates high-fidelity 360-degree turntable videos conditioned on 3D geometry, enabling consistent texture synthesis and neural rendering for complete 3D asset creation. AI-generated summary...

🔹 Publication Date: Published on Mar 18

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.17735
• PDF: https://arxiv.org/pdf/2603.17735
• Project Page: https://zerone182.github.io/TAPESTRY/

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#AI #DataScience #MachineLearning #HuggingFace #Research
Reasoning as Compression: Unifying Budget Forcing via the Conditional Information Bottleneck

📝 Summary:
This paper reformulates efficient LLM reasoning as a lossy compression problem using the Conditional Information Bottleneck. This models reasoning as a computational bridge containing only essential information, maximizing task reward while compressing completions. The method prunes cognitive blo...

🔹 Publication Date: Published on Mar 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.08462
• PDF: https://arxiv.org/pdf/2603.08462

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Probing Cultural Signals in Large Language Models through Author Profiling

📝 Summary:
Large language models exhibit systematic cultural biases when performing author profiling from song lyrics, with varying degrees of ethnic alignment across different models. AI-generated summary Large...

🔹 Publication Date: Published on Mar 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.16749
• PDF: https://arxiv.org/pdf/2603.16749
• Github: https://github.com/ValentinLafargue/CulturalProbingLLM

Datasets citing this paper:
https://huggingface.co/datasets/ValentinLAFARGUE/AuthorProfilingResults

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#AI #DataScience #MachineLearning #HuggingFace #Research
ReLi3D: Relightable Multi-view 3D Reconstruction with Disentangled Illumination

📝 Summary:
ReLi3D is a unified pipeline that reconstructs 3D geometry, materials, and illumination from multi-view images. It uses a transformer and two-path prediction to disentangle these elements, enabling near-instantaneous generation of relightable 3D assets.

🔹 Publication Date: Published on Mar 20

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.19753
• PDF: https://arxiv.org/pdf/2603.19753
• Project Page: https://reli3d.jdihlmann.com/
• Github: https://github.com/Stability-AI/ReLi3D

🔹 Models citing this paper:
https://huggingface.co/StabilityLabs/ReLi3D

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#AI #DataScience #MachineLearning #HuggingFace #Research
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DROID-SLAM in the Wild

📝 Summary:
A real-time RGB SLAM system handles dynamic and cluttered environments. It estimates per-pixel uncertainty from multi-view visual features via differentiable bundle adjustment. This enables state-of-the-art performance at real-time speeds.

🔹 Publication Date: Published on Mar 19

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.19076
• PDF: https://arxiv.org/pdf/2603.19076
• Project Page: https://moyangli00.github.io/droid-w/
• Github: https://github.com/MoyangLi00/DROID-W

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ReLMXEL: Adaptive RL-Based Memory Controller with Explainable Energy and Latency Optimization

📝 Summary:
R e d u c i n g l a t e n c y a n d e n e r g y c o n s u m p t i o n i s c r i t i c a l t o i m p r o v i n g t h e e f f i c i e n c y o f m e m o r y s y s t e m s i n m o d e r n c o m p u t i n ...

🔹 Publication Date: Published on Mar 18

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.17309
• PDF: https://arxiv.org/pdf/2603.17309
• Project Page: https://github.com/Chirag-Sai-Panuganti/ReLMXEL
• Github: https://github.com/Chirag-Sai-Panuganti/ReLMXEL

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Human-AI Synergy in Agentic Code Review

📝 Summary:
C o d e r e v i e w i s a c r i t i c a l s o f t w a r e e n g i n e e r i n g p r a c t i c e w h e r e d e v e l o p e r s r e v i e w c o d e c h a n g e s b e f o r e i n t e g r a t i o n t o e ...

🔹 Publication Date: Published on Mar 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.15911
• PDF: https://arxiv.org/pdf/2603.15911
• Github: https://github.com/Software-Evolution-Analytics-Lab-SEAL/AI_Vs_Human_Codereview

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Breaking the Capability Ceiling of LLM Post-Training by Reintroducing Markov States

📝 Summary:
LLM post-training hits a capability ceiling by using expanding action histories instead of compact Markov states. This work reintroduces explicit Markov states, significantly reducing sample complexity and breaking performance boundaries to unlock new reasoning capabilities.

🔹 Publication Date: Published on Mar 20

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.19987
• PDF: https://arxiv.org/pdf/2603.19987

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Automatic detection of Gen-AI texts: A comparative framework of neural models

📝 Summary:
This paper compares neural models for detecting AI-generated text. It found that supervised machine learning detectors achieved more stable and robust performance than commercial tools across different languages and domains.

🔹 Publication Date: Published on Mar 19

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.18750
• PDF: https://arxiv.org/pdf/2603.18750
• Project Page: https://huggingface.co/datasets/cristian03/ARTandMH
• Github: https://github.com/cristian03git/DETECTION_GENAI

Datasets citing this paper:
https://huggingface.co/datasets/cristian03/ARTandMH

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#GenAI #AIDetection #MachineLearning #NeuralNetworks #NLP
LongCat-Flash-Prover: Advancing Native Formal Reasoning via Agentic Tool-Integrated Reinforcement Learning

📝 Summary:
LongCat-Flash-Prover is a 560B MoE model advancing Lean4 formal reasoning using agentic tool integration. It employs a hybrid framework and hierarchical policy optimization for stable training. It achieves state-of-the-art results, including 97.1% on MiniF2F-Test and improved performance on Prove...

🔹 Publication Date: Published on Mar 22

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.21065
• PDF: https://arxiv.org/pdf/2603.21065
• Project Page: https://github.com/meituan-longcat/LongCat-Flash-Prover
• Github: https://github.com/meituan-longcat/LongCat-Flash-Prover

🔹 Models citing this paper:
https://huggingface.co/meituan-longcat/LongCat-Flash-Prover

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#AI #DataScience #MachineLearning #HuggingFace #Research