ML Research Hub
32.8K subscribers
4.38K photos
270 videos
23 files
4.74K links
Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.

Admin: @HusseinSheikho || @Hussein_Sheikho
Download Telegram
🔹 Title: Evaluating Language Models' Evaluations of Games

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.10930
• PDF: https://arxiv.org/pdf/2510.10930

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.me/DataScienceT
🔹 Title: Tracing the Traces: Latent Temporal Signals for Efficient and Accurate Reasoning

🔹 Publication Date: Published on Oct 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.10494
• PDF: https://arxiv.org/pdf/2510.10494

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.me/DataScienceT
🔹 Title: Haystack Engineering: Context Engineering for Heterogeneous and Agentic Long-Context Evaluation

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07414
• PDF: https://arxiv.org/pdf/2510.07414
• Github: https://github.com/Graph-COM/HaystackCraft

🔹 Datasets citing this paper:
https://huggingface.co/datasets/Graph-COM/HaystackCraft

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

For more data science resources:
https://t.me/DataScienceT
🔹 Title: Learning to Grasp Anything by Playing with Random Toys

🔹 Publication Date: Published on Oct 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12866
• PDF: https://arxiv.org/pdf/2510.12866

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.me/DataScienceT
🔹 Title: Don't Throw Away Your Pretrained Model

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09913
• PDF: https://arxiv.org/pdf/2510.09913
• Github: https://github.com/BunsenFeng/switch_generation

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.me/DataScienceT
🔹 Title: Less is More: Improving LLM Reasoning with Minimal Test-Time Intervention

🔹 Publication Date: Published on Oct 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.13940
• PDF: https://arxiv.org/pdf/2510.13940
• Github: https://github.com/EnVision-Research/MTI

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.me/DataScienceT
🔹 Title: Information Gain-based Policy Optimization: A Simple and Effective Approach for Multi-Turn LLM Agents

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14967
• PDF: https://arxiv.org/pdf/2510.14967

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.me/DataScienceT
🔹 Title: LaSeR: Reinforcement Learning with Last-Token Self-Rewarding

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14943
• PDF: https://arxiv.org/pdf/2510.14943
• Github: https://github.com/RUCBM/LaSeR

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.me/DataScienceT
🔹 Title: LLM-guided Hierarchical Retrieval

🔹 Publication Date: Published on Oct 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.13217
• PDF: https://arxiv.org/pdf/2510.13217
• Project Page: https://nilesh2797.github.io/publications/lattice/
• Github: https://github.com/nilesh2797/lattice

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.me/DataScienceT
🔹 Title: From Pixels to Words -- Towards Native Vision-Language Primitives at Scale

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14979
• PDF: https://arxiv.org/pdf/2510.14979
• Github: https://github.com/EvolvingLMMs-Lab/NEO

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.me/DataScienceT
🔹 Title: VIST3A: Text-to-3D by Stitching a Multi-view Reconstruction Network to a Video Generator

🔹 Publication Date: Published on Oct 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.13454
• PDF: https://arxiv.org/pdf/2510.13454
• Project Page: https://gohyojun15.github.io/VIST3A/
• Github: https://github.com/gohyojun15/VIST3A

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.me/DataScienceT
1
🔹 Title: pi-Flow: Policy-Based Few-Step Generation via Imitation Distillation

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14974
• PDF: https://arxiv.org/pdf/2510.14974

🔹 Datasets citing this paper:
https://huggingface.co/datasets/Lakonik/t2i-prompts-3m
https://huggingface.co/datasets/Lakonik/t2i-prompts-coco-10k
https://huggingface.co/datasets/Lakonik/t2i-prompts-hpsv2

🔹 Spaces citing this paper:
https://huggingface.co/spaces/Lakonik/pi-FLUX.1
https://huggingface.co/spaces/Lakonik/pi-Qwen
==================================

For more data science resources:
https://t.me/DataScienceT
🔹 Title: Learning an Image Editing Model without Image Editing Pairs

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14978
• PDF: https://arxiv.org/pdf/2510.14978

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.me/DataScienceT
🔹 Title: WithAnyone: Towards Controllable and ID Consistent Image Generation

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14975
• PDF: https://arxiv.org/pdf/2510.14975
• Project Page: https://doby-xu.github.io/WithAnyone/
• Github: https://github.com/Doby-Xu/WithAnyone

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.me/DataScienceT
🔹 Title: Beyond One World: Benchmarking Super Heros in Role-Playing Across Multiversal Contexts

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14351
• PDF: https://arxiv.org/pdf/2510.14351
• Github: https://github.com/Augustus2011/Beyond_One_World.git

🔹 Datasets citing this paper:
https://huggingface.co/datasets/augustus2011/beyond_one_world-dilemma
https://huggingface.co/datasets/augustus2011/beyond_one_world-cannon
https://huggingface.co/datasets/augustus2011/beyond_one_world-heros

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

For more data science resources:
https://t.me/DataScienceT
🔹 Title: Agentic Entropy-Balanced Policy Optimization

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14545
• PDF: https://arxiv.org/pdf/2510.14545
• Github: https://github.com/dongguanting/ARPO

🔹 Datasets citing this paper:
https://huggingface.co/datasets/dongguanting/ARPO-SFT-54K
https://huggingface.co/datasets/dongguanting/ARPO-RL-Reasoning-10K
https://huggingface.co/datasets/dongguanting/ARPO-RL-DeepSearch-1K

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

For more data science resources:
https://t.me/DataScienceT
🔹 Title: PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-Compact Vision-Language Model

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14528
• PDF: https://arxiv.org/pdf/2510.14528

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.me/DataScienceT
🔹 Title: Attention Is All You Need for KV Cache in Diffusion LLMs

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14973
• PDF: https://arxiv.org/pdf/2510.14973
• Project Page: https://vila-lab.github.io/elastic-cache-webpage/
• Github: https://vila-lab.github.io/elastic-cache-webpage/

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.me/DataScienceT
🔹 Title: AI for Service: Proactive Assistance with AI Glasses

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14359
• PDF: https://arxiv.org/pdf/2510.14359

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.me/DataScienceT
🔹 Title: VR-Thinker: Boosting Video Reward Models through Thinking-with-Image Reasoning

🔹 Publication Date: Published on Oct 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.10518
• PDF: https://arxiv.org/pdf/2510.10518
• Github: https://github.com/qunzhongwang/vr-thinker

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.me/DataScienceT
🔹 Title: MathCanvas: Intrinsic Visual Chain-of-Thought for Multimodal Mathematical Reasoning

🔹 Publication Date: Published on Oct 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14958
• PDF: https://arxiv.org/pdf/2510.14958
• Project Page: https://mathcanvas.github.io/
• Github: https://github.com/shiwk24/MathCanvas

🔹 Datasets citing this paper:
No datasets found

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

For more data science resources:
https://t.me/DataScienceT