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: From Spatial to Actions: Grounding Vision-Language-Action Model in Spatial Foundation Priors

🔹 Publication Date: Published on Oct 20

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17439
• PDF: https://arxiv.org/pdf/2510.17439
• Github: https://falcon-vla.github.io/

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🔹 Title: UltraHR-100K: Enhancing UHR Image Synthesis with A Large-Scale High-Quality Dataset

🔹 Publication Date: Published on Oct 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.20661
• PDF: https://arxiv.org/pdf/2510.20661

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⚡️ OpenAI presents gpt-oss-safeguard - open models for flexible and transparent content moderation

Instead of a rigidly trained classifier, the model takes your own security policy as input and reasons whether the message complies with this policy.

The result is not just "safe/unsafe," but a chain of reasoning that you can verify and improve.

The models are available in two sizes: 120B and 20B.
• gpt-oss-safeguard-120B
• gpt-oss-safeguard-20B

💡 Why they are needed:
• Policies can be changed without retraining the model
• Suitable for niche or rapidly changing risks (e.g., cheating in games or fake reviews)
• Does not require thousands of labeled examples
• Ideal when explainability is important rather than minimal latency

Both are available under the Apache 2.0 license - they can be freely used, modified, and deployed.

🔗 Official announcement
🤗 Hugging Face

#openai #chatgpt #opensource
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🔹 Title: Optimize Any Topology: A Foundation Model for Shape- and Resolution-Free Structural Topology Optimization

🔹 Publication Date: Published on Oct 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.23667
• PDF: https://arxiv.org/pdf/2510.23667

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🔹 Title: Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents

🔹 Publication Date: Published on Oct 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.24702
• PDF: https://arxiv.org/pdf/2510.24702
• Project Page: https://agentdataprotocol.com/
• Github: https://github.com/neulab/agent-data-protocol

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🔹 Title: SPICE: Self-Play In Corpus Environments Improves Reasoning

🔹 Publication Date: Published on Oct 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.24684
• PDF: https://arxiv.org/pdf/2510.24684

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🔹 Title: SAO-Instruct: Free-form Audio Editing using Natural Language Instructions

🔹 Publication Date: Published on Oct 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.22795
• PDF: https://arxiv.org/pdf/2510.22795
• Project Page: https://eth-disco.github.io/sao-instruct/
• Github: https://github.com/eth-disco/sao-instruct

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🔹 Title: GRPO-Guard: Mitigating Implicit Over-Optimization in Flow Matching via Regulated Clipping

🔹 Publication Date: Published on Oct 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.22319
• PDF: https://arxiv.org/pdf/2510.22319
• Project Page: https://jingw193.github.io/GRPO-Guard

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🔹 Title: MMPersuade: A Dataset and Evaluation Framework for Multimodal Persuasion

🔹 Publication Date: Published on Oct 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.22768
• PDF: https://arxiv.org/pdf/2510.22768

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🔹 Title: Global PIQA: Evaluating Physical Commonsense Reasoning Across 100+ Languages and Cultures

🔹 Publication Date: Published on Oct 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.24081
• PDF: https://arxiv.org/pdf/2510.24081

🔹 Datasets citing this paper:
https://huggingface.co/datasets/mrlbenchmarks/global-piqa-nonparallel

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🔹 Title: Beyond Reasoning Gains: Mitigating General Capabilities Forgetting in Large Reasoning Models

🔹 Publication Date: Published on Oct 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.21978
• PDF: https://arxiv.org/pdf/2510.21978

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🔹 Title: Latent Chain-of-Thought for Visual Reasoning

🔹 Publication Date: Published on Oct 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.23925
• PDF: https://arxiv.org/pdf/2510.23925
• Github: https://github.com/heliossun/LaCoT

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🔹 Title: Batch Speculative Decoding Done Right

🔹 Publication Date: Published on Oct 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.22876
• PDF: https://arxiv.org/pdf/2510.22876

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🔹 Title: S-Chain: Structured Visual Chain-of-Thought For Medicine

🔹 Publication Date: Published on Oct 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.22728
• PDF: https://arxiv.org/pdf/2510.22728
• Project Page: https://s-chain.github.io/
• Github: https://github.com/leduckhai/S-Chain

🔹 Datasets citing this paper:
https://huggingface.co/datasets/leduckhai/S-Chain

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🔹 Title: ATOM: AdapTive and OptiMized dynamic temporal knowledge graph construction using LLMs

🔹 Publication Date: Published on Oct 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.22590
• PDF: https://arxiv.org/pdf/2510.22590
• Github: https://github.com/AuvaLab/itext2kg

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🔹 Title: Beyond Understanding: Evaluating the Pragmatic Gap in LLMs' Cultural Processing of Figurative Language

🔹 Publication Date: Published on Oct 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.23828
• PDF: https://arxiv.org/pdf/2510.23828

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🔹 Title: The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution

🔹 Publication Date: Published on Oct 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.25726
• PDF: https://arxiv.org/pdf/2510.25726
• Project Page: https://toolathlon.xyz/introduction
• Github: https://github.com/hkust-nlp/Toolathlon

🔹 Datasets citing this paper:
https://huggingface.co/datasets/hkust-nlp/Toolathlon-Trajectories

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🔹 Title: Scaling Latent Reasoning via Looped Language Models

🔹 Publication Date: Published on Oct 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.25741
• PDF: https://arxiv.org/pdf/2510.25741
• Project Page: https://ouro-llm.github.io/

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🔹 Title: RegionE: Adaptive Region-Aware Generation for Efficient Image Editing

🔹 Publication Date: Published on Oct 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.25590
• PDF: https://arxiv.org/pdf/2510.25590
• Github: https://github.com/Peyton-Chen/RegionE

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