🔹 Title: ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data
🔹 Publication Date: Published on Sep 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15221
• PDF: https://arxiv.org/pdf/2509.15221
• Github: https://github.com/OpenGVLab/ScaleCUA
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15221
• PDF: https://arxiv.org/pdf/2509.15221
• Github: https://github.com/OpenGVLab/ScaleCUA
🔹 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: FlowRL: Matching Reward Distributions for LLM Reasoning
🔹 Publication Date: Published on Sep 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15207
• PDF: https://arxiv.org/pdf/2509.15207
• Github: https://github.com/Xuekai-Zhu/FlowRL
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15207
• PDF: https://arxiv.org/pdf/2509.15207
• Github: https://github.com/Xuekai-Zhu/FlowRL
🔹 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: MultiEdit: Advancing Instruction-based Image Editing on Diverse and Challenging Tasks
🔹 Publication Date: Published on Sep 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.14638
• PDF: https://arxiv.org/pdf/2509.14638
• Project Page: https://huggingface.co/datasets/inclusionAI/MultiEdit
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.14638
• PDF: https://arxiv.org/pdf/2509.14638
• Project Page: https://huggingface.co/datasets/inclusionAI/MultiEdit
🔹 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: RynnVLA-001: Using Human Demonstrations to Improve Robot Manipulation
🔹 Publication Date: Published on Sep 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15212
• PDF: https://arxiv.org/pdf/2509.15212
• Github: https://github.com/alibaba-damo-academy/RynnVLA-001
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15212
• PDF: https://arxiv.org/pdf/2509.15212
• Github: https://github.com/alibaba-damo-academy/RynnVLA-001
🔹 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: WorldForge: Unlocking Emergent 3D/4D Generation in Video Diffusion Model via Training-Free Guidance
🔹 Publication Date: Published on Sep 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15130
• PDF: https://arxiv.org/pdf/2509.15130
• Project Page: https://worldforge-agi.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
🔹 Publication Date: Published on Sep 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15130
• PDF: https://arxiv.org/pdf/2509.15130
• Project Page: https://worldforge-agi.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
🔹 Title: AToken: A Unified Tokenizer for Vision
🔹 Publication Date: Published on Sep 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.14476
• PDF: https://arxiv.org/pdf/2509.14476
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.14476
• PDF: https://arxiv.org/pdf/2509.14476
🔹 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: Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation
🔹 Publication Date: Published on Sep 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15185
• PDF: https://arxiv.org/pdf/2509.15185
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15185
• PDF: https://arxiv.org/pdf/2509.15185
🔹 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: Unleashing the Potential of Multimodal LLMs for Zero-Shot Spatio-Temporal Video Grounding
🔹 Publication Date: Published on Sep 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15178
• PDF: https://arxiv.org/pdf/2509.15178
• Github: https://github.com/zaiquanyang/LLaVA_Next_STVG
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15178
• PDF: https://arxiv.org/pdf/2509.15178
• Github: https://github.com/zaiquanyang/LLaVA_Next_STVG
🔹 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: FSG-Net: Frequency-Spatial Synergistic Gated Network for High-Resolution Remote Sensing Change Detection
🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06482
• PDF: https://arxiv.org/pdf/2509.06482
• Github: https://github.com/zxXie-Air/FSG-Net
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06482
• PDF: https://arxiv.org/pdf/2509.06482
• Github: https://github.com/zxXie-Air/FSG-Net
🔹 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: Reasoning over Boundaries: Enhancing Specification Alignment via Test-time Delibration
🔹 Publication Date: Published on Sep 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.14760
• PDF: https://arxiv.org/pdf/2509.14760
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/zzzhr97/SpecBench
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.14760
• PDF: https://arxiv.org/pdf/2509.14760
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/zzzhr97/SpecBench
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: EchoVLM: Dynamic Mixture-of-Experts Vision-Language Model for Universal Ultrasound Intelligence
🔹 Publication Date: Published on Sep 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.14977
• PDF: https://arxiv.org/pdf/2509.14977
• Github: https://github.com/Asunatan/EchoVLM
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.14977
• PDF: https://arxiv.org/pdf/2509.14977
• Github: https://github.com/Asunatan/EchoVLM
🔹 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
RapidProxy provides developers with a reliable proxy network built for scale.
🌐 https://www.rapidproxy.io/?ref=tst
Why Developers Choose RapidProxy
No monthly lock-in. Pay once, use when you need—perfect for long-term projects.
Evaluate performance before committing. Ideal for experimenting with your Python workflows.
90M+ clean residential IPs across 200+ countries and cities. Great for bypassing restrictions, collecting data, or managing accounts.
HTTP(S) & SOCKS5 compatibility ensures smooth integration with tools like requests, Scrapy, or Selenium.
Residential Proxy: from $0.65/GB, traffic never expires.
Static (ISP) Residential Proxy: $5/IP, unlimited traffic for 30 days (easy renewal).
Get started in minutes:
1️⃣ Sign up at RapidProxy.io
2️⃣ Claim your free trial traffic
3️⃣ Scale your scraping, automation, or research projects with confidence
☑️99.9% uptime guarantee
☑️Ultra-low 0.38s average response time
☑️Unlimited concurrent sessions for high-volume tasks
RapidProxy — Fast · Reliable · Developer-Friendly
Your trusted partner for Python scraping and global online operations.
Please open Telegram to view this post
VIEW IN TELEGRAM
❤2
🔹 Title: Mind the Gap: A Closer Look at Tokenization for Multiple-Choice Question Answering with LLMs
🔹 Publication Date: Published on Sep 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15020
• PDF: https://arxiv.org/pdf/2509.15020
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15020
• PDF: https://arxiv.org/pdf/2509.15020
🔹 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: RecoWorld: Building Simulated Environments for Agentic Recommender Systems
🔹 Publication Date: Published on Sep 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.10397
• PDF: https://arxiv.org/pdf/2509.10397
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.10397
• PDF: https://arxiv.org/pdf/2509.10397
🔹 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: Agentic Software Engineering: Foundational Pillars and a Research Roadmap
🔹 Publication Date: Published on Sep 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06216
• PDF: https://arxiv.org/pdf/2509.06216
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06216
• PDF: https://arxiv.org/pdf/2509.06216
🔹 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: Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality
🔹 Publication Date: Published on Sep 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.10402
• PDF: https://arxiv.org/pdf/2509.10402
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/Suzhen/CodeChat
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.10402
• PDF: https://arxiv.org/pdf/2509.10402
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/Suzhen/CodeChat
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
🔹 Publication Date: Published on Sep 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.14233
• PDF: https://arxiv.org/pdf/2509.14233
• Project Page: https://www.swiss-ai.org/apertus
• Github: https://github.com/swiss-ai/apertus-tech-report
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.14233
• PDF: https://arxiv.org/pdf/2509.14233
• Project Page: https://www.swiss-ai.org/apertus
• Github: https://github.com/swiss-ai/apertus-tech-report
🔹 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: Can Multimodal LLMs See Materials Clearly? A Multimodal Benchmark on Materials Characterization
🔹 Publication Date: Published on Sep 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.09307
• PDF: https://arxiv.org/pdf/2509.09307
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/FreedomIntelligence/MatCha
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.09307
• PDF: https://arxiv.org/pdf/2509.09307
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/FreedomIntelligence/MatCha
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT