🔹 Title: LLMs Learn to Deceive Unintentionally: Emergent Misalignment in Dishonesty from Misaligned Samples to Biased Human-AI Interactions
🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08211
• PDF: https://arxiv.org/pdf/2510.08211
🔹 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 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08211
• PDF: https://arxiv.org/pdf/2510.08211
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: Meta-Awareness Enhances Reasoning Models: Self-Alignment Reinforcement Learning
🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.03259
• PDF: https://arxiv.org/pdf/2510.03259
• Github: https://github.com/akatigre/MASA-RL/tree/main
🔹 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 Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.03259
• PDF: https://arxiv.org/pdf/2510.03259
• Github: https://github.com/akatigre/MASA-RL/tree/main
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: InstructX: Towards Unified Visual Editing with MLLM Guidance
🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2510.08485
• PDF: https://arxiv.org/pdf/2510.08485
• Project Page: https://mc-e.github.io/project/InstructX/
• Github: https://github.com/MC-E/InstructX
🔹 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 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2510.08485
• PDF: https://arxiv.org/pdf/2510.08485
• Project Page: https://mc-e.github.io/project/InstructX/
• Github: https://github.com/MC-E/InstructX
🔹 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 What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning
🔹 Publication Date: Published on Sep 28
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23768
• PDF: https://arxiv.org/pdf/2509.23768
🔹 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 Sep 28
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23768
• PDF: https://arxiv.org/pdf/2509.23768
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: MemMamba: Rethinking Memory Patterns in State Space Model
🔹 Publication Date: Published on Sep 28
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.03279
• PDF: https://arxiv.org/pdf/2510.03279
🔹 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 Sep 28
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.03279
• PDF: https://arxiv.org/pdf/2510.03279
🔹 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 Scalable and Consistent 3D Editing
🔹 Publication Date: Published on Oct 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.02994
• PDF: https://arxiv.org/pdf/2510.02994
• Project Page: https://www.lv-lab.org/3DEditFormer/
• Github: https://github.com/LVLab-SMU/3DEditFormer
🔹 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 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.02994
• PDF: https://arxiv.org/pdf/2510.02994
• Project Page: https://www.lv-lab.org/3DEditFormer/
• Github: https://github.com/LVLab-SMU/3DEditFormer
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards
🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08529
• PDF: https://arxiv.org/pdf/2510.08529
• Github: https://github.com/xxyQwQ/CoMAS
🔹 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 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08529
• PDF: https://arxiv.org/pdf/2510.08529
• Github: https://github.com/xxyQwQ/CoMAS
🔹 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: Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks
🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08002
• PDF: https://arxiv.org/pdf/2510.08002
🔹 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 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08002
• PDF: https://arxiv.org/pdf/2510.08002
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: Memory Retrieval and Consolidation in Large Language Models through Function Tokens
🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08203
• PDF: https://arxiv.org/pdf/2510.08203
🔹 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 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08203
• PDF: https://arxiv.org/pdf/2510.08203
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: Fidelity-Aware Data Composition for Robust Robot Generalization
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24797
• PDF: https://arxiv.org/pdf/2509.24797
🔹 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 Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24797
• PDF: https://arxiv.org/pdf/2509.24797
🔹 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 Outliers: A Study of Optimizers Under Quantization
🔹 Publication Date: Published on Sep 27
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23500
• PDF: https://arxiv.org/pdf/2509.23500
🔹 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 Sep 27
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23500
• PDF: https://arxiv.org/pdf/2509.23500
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: Taming Text-to-Sounding Video Generation via Advanced Modality Condition and Interaction
🔹 Publication Date: Published on Oct 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.03117
• PDF: https://arxiv.org/pdf/2510.03117
• Project Page: https://bridgedit-t2sv.github.io/
🔹 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 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.03117
• PDF: https://arxiv.org/pdf/2510.03117
• Project Page: https://bridgedit-t2sv.github.io/
🔹 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: Search-R3: Unifying Reasoning and Embedding Generation in Large Language Models
🔹 Publication Date: Published on Oct 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07048
• PDF: https://arxiv.org/pdf/2510.07048
• Github: https://github.com/ytgui/Search-R3
🔹 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 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07048
• PDF: https://arxiv.org/pdf/2510.07048
• Github: https://github.com/ytgui/Search-R3
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: GCPO: When Contrast Fails, Go Gold
🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07790
• PDF: https://arxiv.org/pdf/2510.07790
• Github: https://github.com/AchoWu/GCPO
🔹 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 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07790
• PDF: https://arxiv.org/pdf/2510.07790
• Github: https://github.com/AchoWu/GCPO
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: SViM3D: Stable Video Material Diffusion for Single Image 3D Generation
🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08271
• PDF: https://arxiv.org/pdf/2510.08271
🔹 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 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08271
• PDF: https://arxiv.org/pdf/2510.08271
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations
🔹 Publication Date: Published on Oct 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07314
• PDF: https://arxiv.org/pdf/2510.07314
🔹 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 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07314
• PDF: https://arxiv.org/pdf/2510.07314
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: Drive&Gen: Co-Evaluating End-to-End Driving and Video Generation Models
🔹 Publication Date: Published on Oct 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06209
• PDF: https://arxiv.org/pdf/2510.06209
🔹 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 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06209
• PDF: https://arxiv.org/pdf/2510.06209
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: OmniRetarget: Interaction-Preserving Data Generation for Humanoid Whole-Body Loco-Manipulation and Scene Interaction
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26633
• PDF: https://arxiv.org/pdf/2509.26633
• Project Page: https://omniretarget.github.io/
🔹 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 Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26633
• PDF: https://arxiv.org/pdf/2509.26633
• Project Page: https://omniretarget.github.io/
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: DreamOmni2: Multimodal Instruction-based Editing and Generation
🔹 Publication Date: Published on Oct 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06679
• PDF: https://arxiv.org/pdf/2510.06679
• Project Page: https://pbihao.github.io/projects/DreamOmni2/index.html
• Github: https://github.com/dvlab-research/DreamOmni2
🔹 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 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06679
• PDF: https://arxiv.org/pdf/2510.06679
• Project Page: https://pbihao.github.io/projects/DreamOmni2/index.html
• Github: https://github.com/dvlab-research/DreamOmni2
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: Use the Online Network If You Can: Towards Fast and Stable Reinforcement Learning
🔹 Publication Date: Published on Oct 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.02590
• PDF: https://arxiv.org/pdf/2510.02590
🔹 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 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.02590
• PDF: https://arxiv.org/pdf/2510.02590
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
🔹 Title: OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment
🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07743
• PDF: https://arxiv.org/pdf/2510.07743
🔹 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 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07743
• PDF: https://arxiv.org/pdf/2510.07743
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.me/DataScienceT
❤1