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🔹 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

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🔹 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

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🔹 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

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🔹 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

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🔹 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

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🔹 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

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🔹 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

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🔹 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

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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

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🔹 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

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🔹 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

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Today I am 3️⃣0️⃣ 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

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Eng. @HusseinSheikho 🔤
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🔹 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

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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

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🔹 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

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🔹 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

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🔹 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

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🔹 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

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🔹 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

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🔹 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

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