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: LLMSQL: Upgrading WikiSQL for the LLM Era of Text-to-SQL

🔹 Publication Date: Published on Sep 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.02350
• PDF: https://arxiv.org/pdf/2510.02350
• Project Page: https://llmsql.github.io/llmsql-benchmark/
• Github: https://github.com/LLMSQL/llmsql-benchmark

🔹 Datasets citing this paper:
https://huggingface.co/datasets/llmsql-bench/llmsql-benchmark

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🔹 Title: Optimal Scaling Needs Optimal Norm

🔹 Publication Date: Published on Oct 4

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.03871
• PDF: https://arxiv.org/pdf/2510.03871

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🔹 Title: Character Mixing for Video Generation

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05093
• PDF: https://arxiv.org/pdf/2510.05093
• Project Page: https://tingtingliao.github.io/mimix/
• Github: https://tingtingliao.github.io/mimix/

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🔹 Title: Learning on the Job: Test-Time Curricula for Targeted Reinforcement Learning

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04786
• PDF: https://arxiv.org/pdf/2510.04786
• Github: https://github.com/jonhue/ttc

🔹 Datasets citing this paper:
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🔹 Title: Test-Time Scaling in Diffusion LLMs via Hidden Semi-Autoregressive Experts

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05040
• PDF: https://arxiv.org/pdf/2510.05040

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🔹 Title: Power Transform Revisited: Numerically Stable, and Federated

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04995
• PDF: https://arxiv.org/pdf/2510.04995
• Project Page: https://xuefeng-xu.github.io/powertf.html
• Github: https://github.com/xuefeng-xu/powertf

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🔹 Title: Federated Computation of ROC and PR Curves

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04979
• PDF: https://arxiv.org/pdf/2510.04979
• Project Page: https://xuefeng-xu.github.io/fedcurve.html
• Github: https://github.com/xuefeng-xu/fedcurve

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🔹 Title: Fine-Tuning on Noisy Instructions: Effects on Generalization and Performance

🔹 Publication Date: Published on Oct 3

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.03528
• PDF: https://arxiv.org/pdf/2510.03528

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🔹 Title: Slow-Fast Policy Optimization: Reposition-Before-Update for LLM Reasoning

🔹 Publication Date: Published on Oct 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04072
• PDF: https://arxiv.org/pdf/2510.04072
• Project Page: https://zkbig.github.io/Slow_Fast_Policy_Optimization.github.io/
• Github: https://zkbig.github.io/Slow_Fast_Policy_Optimization.github.io/

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🔹 Title: Prosperity before Collapse: How Far Can Off-Policy RL Reach with Stale Data on LLMs?

🔹 Publication Date: Published on Oct 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.01161
• PDF: https://arxiv.org/pdf/2510.01161

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🔹 Title: Position: Privacy Is Not Just Memorization!

🔹 Publication Date: Published on Oct 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.01645
• PDF: https://arxiv.org/pdf/2510.01645

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🔹 Title: Paris: A Decentralized Trained Open-Weight Diffusion Model

🔹 Publication Date: Published on Oct 3

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.03434
• PDF: https://arxiv.org/pdf/2510.03434

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🔹 Title: CWM: An Open-Weights LLM for Research on Code Generation with World Models

🔹 Publication Date: Published on Sep 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.02387
• PDF: https://arxiv.org/pdf/2510.02387

🔹 Datasets citing this paper:
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🔹 Title: Optimized Minimal 4D Gaussian Splatting

🔹 Publication Date: Published on Oct 4

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.03857
• PDF: https://arxiv.org/pdf/2510.03857
• Project Page: https://minshirley.github.io/OMG4/
• Github: https://minshirley.github.io/OMG4/

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🔹 Title: Multilingual Routing in Mixture-of-Experts

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04694
• PDF: https://arxiv.org/pdf/2510.04694

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🔹 Title: TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2510.06217
• PDF: https://arxiv.org/pdf/2510.06217

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🔹 Title: EgoNight: Towards Egocentric Vision Understanding at Night with a Challenging Benchmark

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06218
• PDF: https://arxiv.org/pdf/2510.06218

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🔹 Title: Deforming Videos to Masks: Flow Matching for Referring Video Segmentation

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06139
• PDF: https://arxiv.org/pdf/2510.06139

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🔹 Title: AInstein: Assessing the Feasibility of AI-Generated Approaches to Research Problems

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05432
• PDF: https://arxiv.org/pdf/2510.05432

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🔹 Title: Fast-dLLM v2: Efficient Block-Diffusion LLM

🔹 Publication Date: Published on Sep 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26328
• PDF: https://arxiv.org/pdf/2509.26328

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🔹 Title: Margin Adaptive DPO: Leveraging Reward Model for Granular Control in Preference Optimization

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05342
• PDF: https://arxiv.org/pdf/2510.05342
• Github: https://github.com/sirano1004/Margin-Apative-Direct-Preference-Optimization

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