Data Science | Machine Learning with Python for Researchers
32.6K subscribers
3.25K photos
117 videos
23 files
3.45K links
ads: @HusseinSheikho

The Data Science and Python channel is for researchers and advanced programmers

Buy ads: https://telega.io/c/dataScienceT
Download Telegram
🔹 Title: Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld's Episode Theory

🔹 Publication Date: Published on Sep 18

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.14662
• PDF: https://arxiv.org/pdf/2509.14662

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.iss.one/DataScienceT
🔹 Title: Interactive Recommendation Agent with Active User Commands

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21317
• PDF: https://arxiv.org/pdf/2509.21317

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.iss.one/DataScienceT
🔹 Title: MMR1: Enhancing Multimodal Reasoning with Variance-Aware Sampling and Open Resources

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21268
• PDF: https://arxiv.org/pdf/2509.21268
• Github: https://github.com/LengSicong/MMR1

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.iss.one/DataScienceT
🔹 Title: SciReasoner: Laying the Scientific Reasoning Ground Across Disciplines

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21320
• PDF: https://arxiv.org/pdf/2509.21320
• Github: https://github.com/open-sciencelab/SciReason

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.iss.one/DataScienceT
🔹 Title: CHARM: Control-point-based 3D Anime Hairstyle Auto-Regressive Modeling

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21114
• PDF: https://arxiv.org/pdf/2509.21114
• Project Page: https://hyzcluster.github.io/charm/
• Github: https://github.com/hyz317/CHARM

🔹 Datasets citing this paper:
https://huggingface.co/datasets/hyz317/CHARM

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

For more data science resources:
https://t.iss.one/DataScienceT
🔹 Title: Thinking Augmented Pre-training

🔹 Publication Date: Published on Sep 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.20186
• PDF: https://arxiv.org/pdf/2509.20186

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.iss.one/DataScienceT
🔹 Title: SD3.5-Flash: Distribution-Guided Distillation of Generative Flows

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21318
• PDF: https://arxiv.org/pdf/2509.21318

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.iss.one/DataScienceT
🔹 Title: ScaleDiff: Scaling Difficult Problems for Advanced Mathematical Reasoning

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21070
• PDF: https://arxiv.org/pdf/2509.21070
• Github: https://github.com/QizhiPei/ScaleDiff

🔹 Datasets citing this paper:
https://huggingface.co/datasets/QizhiPei/ScaleDiff-Math

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

For more data science resources:
https://t.iss.one/DataScienceT
🔹 Title: StyleBench: Evaluating thinking styles in Large Language Models

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.20868
• PDF: https://arxiv.org/pdf/2509.20868
• Github: https://github.com/JamesJunyuGuo/Style_Bench

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.iss.one/DataScienceT
🔹 Title: Tree Search for LLM Agent Reinforcement Learning

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21240
• PDF: https://arxiv.org/pdf/2509.21240
• Github: https://github.com/AMAP-ML/Tree-GRPO

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.iss.one/DataScienceT
🔹 Title: VCRL: Variance-based Curriculum Reinforcement Learning for Large Language Models

🔹 Publication Date: Published on Sep 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.19803
• PDF: https://arxiv.org/pdf/2509.19803

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.iss.one/DataScienceT
🔹 Title: MOSS-ChatV: Reinforcement Learning with Process Reasoning Reward for Video Temporal Reasoning

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21113
• PDF: https://arxiv.org/pdf/2509.21113

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.iss.one/DataScienceT
🔹 Title: Does FLUX Already Know How to Perform Physically Plausible Image Composition?

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21278
• PDF: https://arxiv.org/pdf/2509.21278

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.iss.one/DataScienceT
🔹 Title: V-GameGym: Visual Game Generation for Code Large Language Models

🔹 Publication Date: Published on Sep 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.20136
• PDF: https://arxiv.org/pdf/2509.20136
• Github: https://v-gamegym.github.io/leaderboard.html

🔹 Datasets citing this paper:
https://huggingface.co/datasets/alibabagroup/SKYLENAGE-GameCodeGym

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

For more data science resources:
https://t.iss.one/DataScienceT
🔹 Title: The Unanticipated Asymmetry Between Perceptual Optimization and Assessment

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.20878
• PDF: https://arxiv.org/pdf/2509.20878
• Github: https://github.com/Oreki1999/AsymmetryIQA

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.iss.one/DataScienceT
🔹 Title: Behind RoPE: How Does Causal Mask Encode Positional Information?

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21042
• PDF: https://arxiv.org/pdf/2509.21042

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.iss.one/DataScienceT
🔹 Title: Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving

🔹 Publication Date: Published on Sep 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.20109
• PDF: https://arxiv.org/pdf/2509.20109
• Github: https://github.com/pixeli99/ReflectDrive

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.iss.one/DataScienceT
🔹 Title: TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21117
• PDF: https://arxiv.org/pdf/2509.21117

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.iss.one/DataScienceT
🔹 Title: Blueprints of Trust: AI System Cards for End to End Transparency and Governance

🔹 Publication Date: Published on Sep 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.20394
• PDF: https://arxiv.org/pdf/2509.20394
• Github: https://github.com/RedHatProductSecurity/ai-system-card

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.iss.one/DataScienceT
1
🔹 Title: Residual Off-Policy RL for Finetuning Behavior Cloning Policies

🔹 Publication Date: Published on Sep 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.19301
• PDF: https://arxiv.org/pdf/2509.19301
• Project Page: https://residual-offpolicy-rl.github.io/

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.iss.one/DataScienceT