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

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🔹 Title: Revisiting Long-context Modeling from Context Denoising Perspective

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05862
• PDF: https://arxiv.org/pdf/2510.05862
• Github: https://github.com/LCM-Lab/context-denoising-training

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🔹 Title: Bridging Text and Video Generation: A Survey

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04999
• PDF: https://arxiv.org/pdf/2510.04999

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🔹 Title: MATRIX: Mask Track Alignment for Interaction-aware Video Generation

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07310
• PDF: https://arxiv.org/pdf/2510.07310
• Project Page: https://cvlab-kaist.github.io/MATRIX/
• Github: https://github.com/cvlab-kaist/MATRIX

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🔹 Title: MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent Pipeline

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07307
• PDF: https://arxiv.org/pdf/2510.07307

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🔹 Title: U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07041
• PDF: https://arxiv.org/pdf/2510.07041
• Project Page: https://fenghetan9.github.io/ubench/
• Github: https://github.com/FengheTan9/U-Bench

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🔹 Title: TTRV: Test-Time Reinforcement Learning for Vision Language Models

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06783
• PDF: https://arxiv.org/pdf/2510.06783
• Project Page: https://akshit21112002.github.io/ttrvproject/
• Github: https://github.com/Akshit21112002/TTRV

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🔹 Title: D^3QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05891
• PDF: https://arxiv.org/pdf/2510.05891
• Project Page: https://ivg-yanranzhang.github.io/D3QE/
• Github: https://ivg-yanranzhang.github.io/D3QE/

🔹 Datasets citing this paper:
https://huggingface.co/datasets/Yanran21/ARForensics

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🔹 Title: AlphaApollo: Orchestrating Foundation Models and Professional Tools into a Self-Evolving System for Deep Agentic Reasoning

🔹 Publication Date: Published on Oct 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06261
• PDF: https://arxiv.org/pdf/2510.06261
• Github: https://github.com/tmlr-group/AlphaApollo

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🔹 Title: When Benchmarks Age: Temporal Misalignment through Large Language Model Factuality Evaluation

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07238
• PDF: https://arxiv.org/pdf/2510.07238
• Github: https://github.com/JiangXunyi/BenchAge

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🔹 Title: G^2RPO: Granular GRPO for Precise Reward in Flow Models

🔹 Publication Date: Published on Oct 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.01982
• PDF: https://arxiv.org/pdf/2510.01982
• Project Page: https://bujiazi.github.io/g2rpo.github.io/
• Github: https://github.com/bcmi/Granular-GRPO

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🔹 Title: Beyond Monolingual Assumptions: A Survey of Code-Switched NLP in the Era of Large Language Models

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07037
• PDF: https://arxiv.org/pdf/2510.07037
• Github: https://github.com/lingo-iitgn/awesome-code-mixing/

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🔹 Title: StaMo: Unsupervised Learning of Generalizable Robot Motion from Compact State Representation

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05057
• PDF: https://arxiv.org/pdf/2510.05057
• Github: https://aim-uofa.github.io/StaMo/

🔹 Datasets citing this paper:
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🔹 Title: Are We Using the Right Benchmark: An Evaluation Framework for Visual Token Compression Methods

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07143
• PDF: https://arxiv.org/pdf/2510.07143
• Github: https://github.com/Chenfei-Liao/VTC-Bench

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🔹 Title: Online Generic Event Boundary Detection

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06855
• PDF: https://arxiv.org/pdf/2510.06855
• Project Page: https://carpedkm.github.io/projects/online_gebd/index.html

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🔹 Title: Heptapod: Language Modeling on Visual Signals

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06673
• PDF: https://arxiv.org/pdf/2510.06673

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🔹 Title: NorMuon: Making Muon more efficient and scalable

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05491
• PDF: https://arxiv.org/pdf/2510.05491

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🔹 Title: RLinf-VLA: A Unified and Efficient Framework for VLA+RL Training

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06710
• PDF: https://arxiv.org/pdf/2510.06710
• Project Page: https://rlinf.readthedocs.io/en/latest/
• Github: https://github.com/RLinf/RLinf

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🔹 Title: Patch-as-Decodable-Token: Towards Unified Multi-Modal Vision Tasks in MLLMs

🔹 Publication Date: Published on Oct 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.01954
• PDF: https://arxiv.org/pdf/2510.01954
• Github: https://github.com/Gorilla-Lab-SCUT/PaDT

🔹 Datasets citing this paper:
https://huggingface.co/datasets/PaDT-MLLM/RefCOCO
https://huggingface.co/datasets/PaDT-MLLM/COCO
https://huggingface.co/datasets/PaDT-MLLM/ReferringImageCaptioning

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🔹 Title: The African Languages Lab: A Collaborative Approach to Advancing Low-Resource African NLP

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05644
• PDF: https://arxiv.org/pdf/2510.05644

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🔹 Title: Native Hybrid Attention for Efficient Sequence Modeling

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07019
• PDF: https://arxiv.org/pdf/2510.07019
• Project Page: https://github.com/JusenD/NHA
• Github: https://github.com/JusenD/NHA

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🔹 Title: DeepTravel: An End-to-End Agentic Reinforcement Learning Framework for Autonomous Travel Planning Agents

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21842
• PDF: https://arxiv.org/pdf/2509.21842

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