🔹 Title: TrajSelector: Harnessing Latent Representations for Efficient and Effective Best-of-N in Large Reasoning Model
🔹 Publication Date: Published on Oct 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16449
• PDF: https://arxiv.org/pdf/2510.16449
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Publication Date: Published on Oct 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16449
• PDF: https://arxiv.org/pdf/2510.16449
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: AION-1: Omnimodal Foundation Model for Astronomical Sciences
🔹 Publication Date: Published on Oct 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17960
• PDF: https://arxiv.org/pdf/2510.17960
• Github: https://github.com/PolymathicAI/AION
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Publication Date: Published on Oct 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17960
• PDF: https://arxiv.org/pdf/2510.17960
• Github: https://github.com/PolymathicAI/AION
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: MoReBench: Evaluating Procedural and Pluralistic Moral Reasoning in Language Models, More than Outcomes
🔹 Publication Date: Published on Oct 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16380
• PDF: https://arxiv.org/pdf/2510.16380
• Project Page: https://morebench.github.io/
• Github: https://github.com/morebench/morebench
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/morebench/morebench
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Publication Date: Published on Oct 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16380
• PDF: https://arxiv.org/pdf/2510.16380
• Project Page: https://morebench.github.io/
• Github: https://github.com/morebench/morebench
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/morebench/morebench
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: Grasp Any Region: Towards Precise, Contextual Pixel Understanding for Multimodal LLMs
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18876
• PDF: https://arxiv.org/pdf/2510.18876
• Github: https://github.com/Haochen-Wang409/Grasp-Any-Region
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18876
• PDF: https://arxiv.org/pdf/2510.18876
• Github: https://github.com/Haochen-Wang409/Grasp-Any-Region
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: Every Step Evolves: Scaling Reinforcement Learning for Trillion-Scale Thinking Model
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18855
• PDF: https://arxiv.org/pdf/2510.18855
• Github: https://github.com/inclusionAI/Ring-V2
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18855
• PDF: https://arxiv.org/pdf/2510.18855
• Github: https://github.com/inclusionAI/Ring-V2
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: IF-VidCap: Can Video Caption Models Follow Instructions?
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18726
• PDF: https://arxiv.org/pdf/2510.18726
• Project Page: https://if-vidcap.github.io/
• Github: https://github.com/NJU-LINK/IF-VidCap
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18726
• PDF: https://arxiv.org/pdf/2510.18726
• Project Page: https://if-vidcap.github.io/
• Github: https://github.com/NJU-LINK/IF-VidCap
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: MoGA: Mixture-of-Groups Attention for End-to-End Long Video Generation
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18692
• PDF: https://arxiv.org/pdf/2510.18692
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18692
• PDF: https://arxiv.org/pdf/2510.18692
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn Dialogues
🔹 Publication Date: Published on Oct 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17722
• PDF: https://arxiv.org/pdf/2510.17722
• Project Page: https://mt-video-bench.github.io/
• Github: https://github.com/NJU-LINK/MT-Video-Bench
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/NJU-LINK/MT-Video-Bench
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Publication Date: Published on Oct 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17722
• PDF: https://arxiv.org/pdf/2510.17722
• Project Page: https://mt-video-bench.github.io/
• Github: https://github.com/NJU-LINK/MT-Video-Bench
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/NJU-LINK/MT-Video-Bench
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: Chem-R: Learning to Reason as a Chemist
🔹 Publication Date: Published on Oct 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16880
• PDF: https://arxiv.org/pdf/2510.16880
• Github: https://github.com/davidweidawang/Chem-R
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Publication Date: Published on Oct 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16880
• PDF: https://arxiv.org/pdf/2510.16880
• Github: https://github.com/davidweidawang/Chem-R
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: UltraGen: High-Resolution Video Generation with Hierarchical Attention
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18775
• PDF: https://arxiv.org/pdf/2510.18775
• Project Page: https://sjtuplayer.github.io/projects/UltraGen/
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18775
• PDF: https://arxiv.org/pdf/2510.18775
• Project Page: https://sjtuplayer.github.io/projects/UltraGen/
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: UniGenBench++: A Unified Semantic Evaluation Benchmark for Text-to-Image Generation
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18701
• PDF: https://arxiv.org/pdf/2510.18701
• Project Page: https://codegoat24.github.io/UniGenBench/
• Github: https://github.com/CodeGoat24/UniGenBench
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18701
• PDF: https://arxiv.org/pdf/2510.18701
• Project Page: https://codegoat24.github.io/UniGenBench/
• Github: https://github.com/CodeGoat24/UniGenBench
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: LightMem: Lightweight and Efficient Memory-Augmented Generation
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18866
• PDF: https://arxiv.org/pdf/2510.18866
• Github: https://github.com/zjunlp/LightMem
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18866
• PDF: https://arxiv.org/pdf/2510.18866
• Github: https://github.com/zjunlp/LightMem
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: Towards Faithful and Controllable Personalization via Critique-Post-Edit Reinforcement Learning
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18849
• PDF: https://arxiv.org/pdf/2510.18849
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18849
• PDF: https://arxiv.org/pdf/2510.18849
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: ProCLIP: Progressive Vision-Language Alignment via LLM-based Embedder
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18795
• PDF: https://arxiv.org/pdf/2510.18795
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18795
• PDF: https://arxiv.org/pdf/2510.18795
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: World-in-World: World Models in a Closed-Loop World
🔹 Publication Date: Published on Oct 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18135
• PDF: https://arxiv.org/pdf/2510.18135
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Publication Date: Published on Oct 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18135
• PDF: https://arxiv.org/pdf/2510.18135
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: MUG-V 10B: High-efficiency Training Pipeline for Large Video Generation Models
🔹 Publication Date: Published on Oct 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17519
• PDF: https://arxiv.org/pdf/2510.17519
• Project Page: https://github.com/Shopee-MUG/MUG-V
• Github: https://github.com/Shopee-MUG/MUG-V
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Publication Date: Published on Oct 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17519
• PDF: https://arxiv.org/pdf/2510.17519
• Project Page: https://github.com/Shopee-MUG/MUG-V
• Github: https://github.com/Shopee-MUG/MUG-V
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: Video Reasoning without Training
🔹 Publication Date: Published on Oct 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17045
• PDF: https://arxiv.org/pdf/2510.17045
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Publication Date: Published on Oct 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17045
• PDF: https://arxiv.org/pdf/2510.17045
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: ssToken: Self-modulated and Semantic-aware Token Selection for LLM Fine-tuning
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18250
• PDF: https://arxiv.org/pdf/2510.18250
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18250
• PDF: https://arxiv.org/pdf/2510.18250
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: DSI-Bench: A Benchmark for Dynamic Spatial Intelligence
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18873
• PDF: https://arxiv.org/pdf/2510.18873
• Project Page: https://dsibench.github.io/
• Github: https://github.com/SpatialVision/dsibench
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18873
• PDF: https://arxiv.org/pdf/2510.18873
• Project Page: https://dsibench.github.io/
• Github: https://github.com/SpatialVision/dsibench
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: Unleashing Scientific Reasoning for Bio-experimental Protocol Generation via Structured Component-based Reward Mechanism
🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15600
• PDF: https://arxiv.org/pdf/2510.15600
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15600
• PDF: https://arxiv.org/pdf/2510.15600
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: Mono4DGS-HDR: High Dynamic Range 4D Gaussian Splatting from Alternating-exposure Monocular Videos
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18489
• PDF: https://arxiv.org/pdf/2510.18489
• Project Page: https://liujf1226.github.io/Mono4DGS-HDR/
• Github: https://github.com/LiuJF1226/Mono4DGS-HDR
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18489
• PDF: https://arxiv.org/pdf/2510.18489
• Project Page: https://liujf1226.github.io/Mono4DGS-HDR/
• Github: https://github.com/LiuJF1226/Mono4DGS-HDR
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT