ML Research Hub – Telegram
ML Research Hub
32.9K subscribers
4.45K photos
273 videos
23 files
4.81K links
Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.

Admin: @HusseinSheikho || @Hussein_Sheikho
Download Telegram
🔹 Title: EvolProver: Advancing Automated Theorem Proving by Evolving Formalized Problems via Symmetry and Difficulty

🔹 Publication Date: Published on Oct 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2510.00732
• PDF: https://arxiv.org/pdf/2510.00732

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 Title: Alignment Tipping Process: How Self-Evolution Pushes LLM Agents Off the Rails

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04860
• PDF: https://arxiv.org/pdf/2510.04860
• Github: https://github.com/aiming-lab/ATP

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 Title: Epistemic Diversity and Knowledge Collapse in Large Language Models

🔹 Publication Date: Published on Oct 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04226
• PDF: https://arxiv.org/pdf/2510.04226

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 Title: Self-Reflective Generation at Test Time

🔹 Publication Date: Published on Oct 3

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.02919
• PDF: https://arxiv.org/pdf/2510.02919

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 Title: Imperceptible Jailbreaking against Large Language Models

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05025
• PDF: https://arxiv.org/pdf/2510.05025

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 Title: MoME: Mixture of Matryoshka Experts for Audio-Visual Speech Recognition

🔹 Publication Date: Published on Oct 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04136
• PDF: https://arxiv.org/pdf/2510.04136

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
1
🔹 Title: SAEdit: Token-level control for continuous image editing via Sparse AutoEncoder

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05081
• PDF: https://arxiv.org/pdf/2510.05081
• Github: https://ronen94.github.io/SAEdit/

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 Title: Code4MeV2: a Research-oriented Code-completion Platform

🔹 Publication Date: Published on Oct 4

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.03755
• PDF: https://arxiv.org/pdf/2510.03755
• Project Page: https://app.code4me.me/
• Github: https://github.com/AISE-TUDelft/code4me2-server

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 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

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 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

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 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/

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 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:
https://huggingface.co/datasets/lasgroup/verifiable-corpus

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 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

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 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

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 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

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 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

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
1
🔹 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/

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 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

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 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

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 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

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT
🔹 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:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
https://news.1rj.ru/str/DataScienceT