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: ExpVid: A Benchmark for Experiment Video Understanding & Reasoning

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11606
• PDF: https://arxiv.org/pdf/2510.11606
• Github: https://github.com/OpenGVLab/ExpVid

🔹 Datasets citing this paper:
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🔹 Title: Temporal Alignment Guidance: On-Manifold Sampling in Diffusion Models

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11057
• PDF: https://arxiv.org/pdf/2510.11057

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🔹 Title: MLLM as a UI Judge: Benchmarking Multimodal LLMs for Predicting Human Perception of User Interfaces

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08783
• PDF: https://arxiv.org/pdf/2510.08783

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🔹 Title: One Life to Learn: Inferring Symbolic World Models for Stochastic Environments from Unguided Exploration

🔹 Publication Date: Published on Oct 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12088
• PDF: https://arxiv.org/pdf/2510.12088
• Project Page: https://onelife-worldmodel.github.io
• Github: https://huggingface.co/papers/onelife-worldmodel.github.io

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🔹 Title: Robot Learning: A Tutorial

🔹 Publication Date: Published on Oct 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12403
• PDF: https://arxiv.org/pdf/2510.12403

🔹 Datasets citing this paper:
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🔹 Title: Information-Preserving Reformulation of Reasoning Traces for Antidistillation

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11545
• PDF: https://arxiv.org/pdf/2510.11545

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🔹 Title: ReFIne: A Framework for Trustworthy Large Reasoning Models with Reliability, Faithfulness, and Interpretability

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09062
• PDF: https://arxiv.org/pdf/2510.09062
• Github: https://github.com/Trustworthy-ML-Lab/Training_Trustworthy_LRM_with_Refine

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🔹 Title: Tensor Logic: The Language of AI

🔹 Publication Date: Published on Oct 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12269
• PDF: https://arxiv.org/pdf/2510.12269
• Project Page: https://tensor-logic.org/

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🔹 Title: SynthID-Image: Image watermarking at internet scale

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09263
• PDF: https://arxiv.org/pdf/2510.09263

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🔹 Title: R-WoM: Retrieval-augmented World Model For Computer-use Agents

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2510.11892
• PDF: https://arxiv.org/pdf/2510.11892

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🔹 Title: Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity

🔹 Publication Date: Published on Oct 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.01171
• PDF: https://arxiv.org/pdf/2510.01171
• Project Page: https://www.verbalized-sampling.com/
• Github: https://github.com/CHATS-lab/verbalized-sampling

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🔹 Title: RAG-Anything: All-in-One RAG Framework

🔹 Publication Date: Published on Oct 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12323
• PDF: https://arxiv.org/pdf/2510.12323

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🔹 Title: Deep Research Brings Deeper Harm

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11851
• PDF: https://arxiv.org/pdf/2510.11851

🔹 Datasets citing this paper:
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🔹 Title: Bag of Tricks for Subverting Reasoning-based Safety Guardrails

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11570
• PDF: https://arxiv.org/pdf/2510.11570

🔹 Datasets citing this paper:
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🔹 Title: dInfer: An Efficient Inference Framework for Diffusion Language Models

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08666
• PDF: https://arxiv.org/pdf/2510.08666

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🔹 Title: Deconstructing Attention: Investigating Design Principles for Effective Language Modeling

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11602
• PDF: https://arxiv.org/pdf/2510.11602

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🔹 Title: SR-Scientist: Scientific Equation Discovery With Agentic AI

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11661
• PDF: https://arxiv.org/pdf/2510.11661

🔹 Datasets citing this paper:
https://huggingface.co/datasets/GAIR/SR-Scientist

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🔹 Title: Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09259
• PDF: https://arxiv.org/pdf/2510.09259
• Github: https://github.com/yongding-tao/RL-Data-Contamination

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🔹 Title: Cautious Weight Decay

🔹 Publication Date: Published on Oct 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12402
• PDF: https://arxiv.org/pdf/2510.12402

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🔹 Title: Diffusion-Link: Diffusion Probabilistic Model for Bridging the Audio-Text Modality Gap

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11330
• PDF: https://arxiv.org/pdf/2510.11330

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🔹 Title: Mitigating the Noise Shift for Denoising Generative Models via Noise Awareness Guidance

🔹 Publication Date: Published on Oct 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12497
• PDF: https://arxiv.org/pdf/2510.12497

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