🔹 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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🔹 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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🔹 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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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
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❤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
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🔹 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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🔹 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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❤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
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🔹 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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🔹 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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🔹 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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🔹 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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🔹 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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🔹 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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🔹 Title: GEM: A Gym for Agentic LLMs
🔹 Publication Date: Published on Oct 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.01051
• PDF: https://arxiv.org/pdf/2510.01051
• Github: https://github.com/axon-rl/gem
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🔹 Publication Date: Published on Oct 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.01051
• PDF: https://arxiv.org/pdf/2510.01051
• Github: https://github.com/axon-rl/gem
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🔹 Title: Beyond Log Likelihood: Probability-Based Objectives for Supervised Fine-Tuning across the Model Capability Continuum
🔹 Publication Date: Published on Oct 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00526
• PDF: https://arxiv.org/pdf/2510.00526
• Github: https://github.com/GaotangLi/Beyond-Log-Likelihood
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🔹 Publication Date: Published on Oct 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00526
• PDF: https://arxiv.org/pdf/2510.00526
• Github: https://github.com/GaotangLi/Beyond-Log-Likelihood
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🔹 Title: On Predictability of Reinforcement Learning Dynamics for Large Language Models
🔹 Publication Date: Published on Oct 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00553
• PDF: https://arxiv.org/pdf/2510.00553
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🔹 Publication Date: Published on Oct 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00553
• PDF: https://arxiv.org/pdf/2510.00553
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🔹 Title: GUI-KV: Efficient GUI Agents via KV Cache with Spatio-Temporal Awareness
🔹 Publication Date: Published on Oct 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00536
• PDF: https://arxiv.org/pdf/2510.00536
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🔹 Publication Date: Published on Oct 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00536
• PDF: https://arxiv.org/pdf/2510.00536
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🔹 Title: JoyAgent-JDGenie: Technical Report on the GAIA
🔹 Publication Date: Published on Oct 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00510
• PDF: https://arxiv.org/pdf/2510.00510
• Github: https://github.com/jd-opensource/joyagent-jdgenie
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🔹 Publication Date: Published on Oct 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00510
• PDF: https://arxiv.org/pdf/2510.00510
• Github: https://github.com/jd-opensource/joyagent-jdgenie
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🔹 Title: VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators
🔹 Publication Date: Published on Oct 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00406
• PDF: https://arxiv.org/pdf/2510.00406
• Project Page: https://vla-rft.github.io/
• Github: https://github.com/OpenHelix-Team/VLA-RFT
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🔹 Publication Date: Published on Oct 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00406
• PDF: https://arxiv.org/pdf/2510.00406
• Project Page: https://vla-rft.github.io/
• Github: https://github.com/OpenHelix-Team/VLA-RFT
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🔹 Title: Flash-Searcher: Fast and Effective Web Agents via DAG-Based Parallel Execution
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25301
• PDF: https://arxiv.org/pdf/2509.25301
• Github: https://github.com/OPPO-PersonalAI/Flash-Searcher
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25301
• PDF: https://arxiv.org/pdf/2509.25301
• Github: https://github.com/OPPO-PersonalAI/Flash-Searcher
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🔹 Title: Boolean Satisfiability via Imitation Learning
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25411
• PDF: https://arxiv.org/pdf/2509.25411
• Github: https://github.com/zewei-Zhang/ImitSAT
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25411
• PDF: https://arxiv.org/pdf/2509.25411
• Github: https://github.com/zewei-Zhang/ImitSAT
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🔹 Title: An Empirical Study of Testing Practices in Open Source AI Agent Frameworks and Agentic Applications
🔹 Publication Date: Published on Sep 23
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.19185
• PDF: https://arxiv.org/pdf/2509.19185
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🔹 Publication Date: Published on Sep 23
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.19185
• PDF: https://arxiv.org/pdf/2509.19185
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🔹 Title: DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2509.25454
• PDF: https://arxiv.org/pdf/2509.25454
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2509.25454
• PDF: https://arxiv.org/pdf/2509.25454
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