🔹 Title: Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24510
• PDF: https://arxiv.org/pdf/2509.24510
• Github: https://github.com/patrikwolf/ttt_theory
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24510
• PDF: https://arxiv.org/pdf/2509.24510
• Github: https://github.com/patrikwolf/ttt_theory
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: Context Is What You Need: The Maximum Effective Context Window for Real World Limits of LLMs
🔹 Publication Date: Published on Sep 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21361
• PDF: https://arxiv.org/pdf/2509.21361
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21361
• PDF: https://arxiv.org/pdf/2509.21361
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: Video Object Segmentation-Aware Audio Generation
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26604
• PDF: https://arxiv.org/pdf/2509.26604
• Project Page: https://saganet.notion.site
• Github: https://github.com/ilpoviertola/SAGANet
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26604
• PDF: https://arxiv.org/pdf/2509.26604
• Project Page: https://saganet.notion.site
• Github: https://github.com/ilpoviertola/SAGANet
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26226
• PDF: https://arxiv.org/pdf/2509.26226
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26226
• PDF: https://arxiv.org/pdf/2509.26226
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: Convolutional Set Transformer
🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22889
• PDF: https://arxiv.org/pdf/2509.22889
• Project Page: https://github.com/chinefed/convolutional-set-transformer
• Github: https://github.com/chinefed/convolutional-set-transformer
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22889
• PDF: https://arxiv.org/pdf/2509.22889
• Project Page: https://github.com/chinefed/convolutional-set-transformer
• Github: https://github.com/chinefed/convolutional-set-transformer
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: GeoRemover: Removing Objects and Their Causal Visual Artifacts
🔹 Publication Date: Published on Sep 23
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.18538
• PDF: https://arxiv.org/pdf/2509.18538
• Github: https://github.com/buxiangzhiren/GeoRemover
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 23
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.18538
• PDF: https://arxiv.org/pdf/2509.18538
• Github: https://github.com/buxiangzhiren/GeoRemover
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: Muon Outperforms Adam in Tail-End Associative Memory Learning
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26030
• PDF: https://arxiv.org/pdf/2509.26030
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26030
• PDF: https://arxiv.org/pdf/2509.26030
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: Nudging the Boundaries of LLM Reasoning
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25666
• PDF: https://arxiv.org/pdf/2509.25666
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25666
• PDF: https://arxiv.org/pdf/2509.25666
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
❤1
🔹 Title: DeepCodeSeek: Real-Time API Retrieval for Context-Aware Code Generation
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25716
• PDF: https://arxiv.org/pdf/2509.25716
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25716
• PDF: https://arxiv.org/pdf/2509.25716
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: LLM Watermark Evasion via Bias Inversion
🔹 Publication Date: Published on Sep 27
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23019
• PDF: https://arxiv.org/pdf/2509.23019
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 27
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23019
• PDF: https://arxiv.org/pdf/2509.23019
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: Learning to Reason as Action Abstractions with Scalable Mid-Training RL
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25810
• PDF: https://arxiv.org/pdf/2509.25810
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25810
• PDF: https://arxiv.org/pdf/2509.25810
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
Forwarded from Machine Learning with Python
Today I am 3️⃣ 0️⃣ years old, I am excited to make more successes and achievements
My previous year was full of exciting events and economic, political and programmatic noise, but I kept moving forward
Best regards
Eng. @HusseinSheikho🔤
My previous year was full of exciting events and economic, political and programmatic noise, but I kept moving forward
Best regards
Eng. @HusseinSheikho
Please open Telegram to view this post
VIEW IN TELEGRAM
❤1
🔹 Title: CORRECT: COndensed eRror RECognition via knowledge Transfer in multi-agent systems
🔹 Publication Date: Published on Sep 28
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24088
• PDF: https://arxiv.org/pdf/2509.24088
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 28
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24088
• PDF: https://arxiv.org/pdf/2509.24088
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
❤1
🔹 Title: Swift: An Autoregressive Consistency Model for Efficient Weather Forecasting
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25631
• PDF: https://arxiv.org/pdf/2509.25631
• Github: https://github.com/stockeh/swift
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25631
• PDF: https://arxiv.org/pdf/2509.25631
• Github: https://github.com/stockeh/swift
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
❤1
🔹 Title: Catching the Details: Self-Distilled RoI Predictors for Fine-Grained MLLM Perception
🔹 Publication Date: Published on Sep 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.16944
• PDF: https://arxiv.org/pdf/2509.16944
• Github: https://github.com/YuHengsss/SD-RPN
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.16944
• PDF: https://arxiv.org/pdf/2509.16944
• Github: https://github.com/YuHengsss/SD-RPN
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: Why Can't Transformers Learn Multiplication? Reverse-Engineering Reveals Long-Range Dependency Pitfalls
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00184
• PDF: https://arxiv.org/pdf/2510.00184
• Github: https://github.com/ajyl/icot
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00184
• PDF: https://arxiv.org/pdf/2510.00184
• Github: https://github.com/ajyl/icot
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: Code2Video: A Code-centric Paradigm for Educational Video Generation
🔹 Publication Date: Published on Oct 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.01174
• PDF: https://arxiv.org/pdf/2510.01174
• Project Page: https://showlab.github.io/Code2Video/
• Github: https://github.com/showlab/Code2Video
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Oct 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.01174
• PDF: https://arxiv.org/pdf/2510.01174
• Project Page: https://showlab.github.io/Code2Video/
• Github: https://github.com/showlab/Code2Video
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: In-Place Feedback: A New Paradigm for Guiding LLMs in Multi-Turn Reasoning
🔹 Publication Date: Published on Oct 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00777
• PDF: https://arxiv.org/pdf/2510.00777
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Oct 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00777
• PDF: https://arxiv.org/pdf/2510.00777
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00232
• PDF: https://arxiv.org/pdf/2510.00232
• Github: https://github.com/xxupiano/BiasFreeBench
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00232
• PDF: https://arxiv.org/pdf/2510.00232
• Github: https://github.com/xxupiano/BiasFreeBench
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: Training Vision-Language Process Reward Models for Test-Time Scaling in Multimodal Reasoning: Key Insights and Lessons Learned
🔹 Publication Date: Published on Sep 27
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23250
• PDF: https://arxiv.org/pdf/2509.23250
• Github: https://github.com/theogbrand/vlprm
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/ob11/VL-PRM-Evaluation-Results
• https://huggingface.co/datasets/ob11/VL-PRM300K
• https://huggingface.co/datasets/ob11/VL-PRM300K-train
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 27
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23250
• PDF: https://arxiv.org/pdf/2509.23250
• Github: https://github.com/theogbrand/vlprm
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/ob11/VL-PRM-Evaluation-Results
• https://huggingface.co/datasets/ob11/VL-PRM300K
• https://huggingface.co/datasets/ob11/VL-PRM300K-train
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT