🔹 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://news.1rj.ru/str/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://news.1rj.ru/str/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
❤3
🔹 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://news.1rj.ru/str/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://news.1rj.ru/str/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://news.1rj.ru/str/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://news.1rj.ru/str/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://news.1rj.ru/str/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://news.1rj.ru/str/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://news.1rj.ru/str/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://news.1rj.ru/str/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://news.1rj.ru/str/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://news.1rj.ru/str/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://news.1rj.ru/str/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://news.1rj.ru/str/DataScienceT
🔹 Title: EdiVal-Agent: An Object-Centric Framework for Automated, Scalable, Fine-Grained Evaluation of Multi-Turn Editing
🔹 Publication Date: Published on Sep 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.13399
• PDF: https://arxiv.org/pdf/2509.13399
• Github: https://tianyucodings.github.io/EdiVAL-page/
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
🔹 Publication Date: Published on Sep 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.13399
• PDF: https://arxiv.org/pdf/2509.13399
• Github: https://tianyucodings.github.io/EdiVAL-page/
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
❤1
🌟 Swiftproxy – Fast, Secure, and Reliable Proxies for Every Project
Looking for proxies that are stable, high-speed, and ready for any online task? Swiftproxy is your go-to solution! From web scraping and data analytics to automation and competitive research, our proxies help you work smarter, faster, and without limits.
🌐 https://www.swiftproxy.net/?ref=python53
✨Why Swiftproxy Stands Out:
🔄 Rotating & Sticky IPs
Switch IPs seamlessly or maintain the same one for longer sessions. Avoid blocks, CAPTCHAs, and interruptions effortlessly.
🌍 Global Coverage & Advanced Targeting
Access over 90 million IPs across 220+ countries. Pinpoint IPs by country, city, or ASN for precise data collection.
⚡️ Fast, Secure, & Reliable
Enjoy high-speed servers with 99.8% uptime and advanced encryption, ensuring seamless and secure data collection.
💻 Flexible & Compatible
Supports HTTP(S) and SOCKS5 protocols and integrates easily with over 650 tools and applications.
✅ Flexible Data Usage
Residential proxies: Non-expiring bandwidth starting from just $0.7/GB — use it whenever you need.
Static residential proxies: Valid for 30 days, priced from $6/IP, giving you maximum control.
🔥Kickstart your projects with Swiftproxy’s reliable residential proxies and make your workflow smoother than ever!
👉 https://www.swiftproxy.net/?ref=python53
🎯 Get Started Quickly:
1. Register a new account on Swiftproxy
2. Contact support to claim 500MB free residential proxy traffic
🎊Use exclusive code SWIFT90 for 10% off your first purchase!
💫Join Swiftproxy Now: https://news.1rj.ru/str/swiftproxynetofficial
Looking for proxies that are stable, high-speed, and ready for any online task? Swiftproxy is your go-to solution! From web scraping and data analytics to automation and competitive research, our proxies help you work smarter, faster, and without limits.
🌐 https://www.swiftproxy.net/?ref=python53
✨Why Swiftproxy Stands Out:
🔄 Rotating & Sticky IPs
Switch IPs seamlessly or maintain the same one for longer sessions. Avoid blocks, CAPTCHAs, and interruptions effortlessly.
🌍 Global Coverage & Advanced Targeting
Access over 90 million IPs across 220+ countries. Pinpoint IPs by country, city, or ASN for precise data collection.
⚡️ Fast, Secure, & Reliable
Enjoy high-speed servers with 99.8% uptime and advanced encryption, ensuring seamless and secure data collection.
💻 Flexible & Compatible
Supports HTTP(S) and SOCKS5 protocols and integrates easily with over 650 tools and applications.
✅ Flexible Data Usage
Residential proxies: Non-expiring bandwidth starting from just $0.7/GB — use it whenever you need.
Static residential proxies: Valid for 30 days, priced from $6/IP, giving you maximum control.
🔥Kickstart your projects with Swiftproxy’s reliable residential proxies and make your workflow smoother than ever!
👉 https://www.swiftproxy.net/?ref=python53
🎯 Get Started Quickly:
1. Register a new account on Swiftproxy
2. Contact support to claim 500MB free residential proxy traffic
🎊Use exclusive code SWIFT90 for 10% off your first purchase!
💫Join Swiftproxy Now: https://news.1rj.ru/str/swiftproxynetofficial
❤5
🔹 Title: MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer
🔹 Publication Date: Published on Sep 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.16197
• PDF: https://arxiv.org/pdf/2509.16197
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
🔹 Publication Date: Published on Sep 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.16197
• PDF: https://arxiv.org/pdf/2509.16197
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
🔹 Title: RGB-Only Supervised Camera Parameter Optimization in Dynamic Scenes
🔹 Publication Date: Published on Sep 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15123
• PDF: https://arxiv.org/pdf/2509.15123
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
🔹 Publication Date: Published on Sep 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15123
• PDF: https://arxiv.org/pdf/2509.15123
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
🔹 Title: BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent
🔹 Publication Date: Published on Sep 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15566
• PDF: https://arxiv.org/pdf/2509.15566
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
🔹 Publication Date: Published on Sep 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15566
• PDF: https://arxiv.org/pdf/2509.15566
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
🔹 Title: RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation
🔹 Publication Date: Published on Sep 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.16198
• PDF: https://arxiv.org/pdf/2509.16198
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
🔹 Publication Date: Published on Sep 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.16198
• PDF: https://arxiv.org/pdf/2509.16198
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
🔹 Title: BaseReward: A Strong Baseline for Multimodal Reward Model
🔹 Publication Date: Published on Sep 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.16127
• PDF: https://arxiv.org/pdf/2509.16127
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
🔹 Publication Date: Published on Sep 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.16127
• PDF: https://arxiv.org/pdf/2509.16127
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
🔹 Title: Lynx: Towards High-Fidelity Personalized Video Generation
🔹 Publication Date: Published on Sep 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15496
• PDF: https://arxiv.org/pdf/2509.15496
• Project Page: https://byteaigc.github.io/Lynx/
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
🔹 Publication Date: Published on Sep 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15496
• PDF: https://arxiv.org/pdf/2509.15496
• Project Page: https://byteaigc.github.io/Lynx/
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
🔹 Title: WhisTLE: Deeply Supervised, Text-Only Domain Adaptation for Pretrained Speech Recognition Transformers
🔹 Publication Date: Published on Sep 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.10452
• PDF: https://arxiv.org/pdf/2509.10452
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
🔹 Publication Date: Published on Sep 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.10452
• PDF: https://arxiv.org/pdf/2509.10452
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
🔹 Title: A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning
🔹 Publication Date: Published on Sep 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15937
• PDF: https://arxiv.org/pdf/2509.15937
• Project Page: https://vlac.intern-ai.org.cn/
• Github: https://github.com/InternRobotics/VLAC
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
🔹 Publication Date: Published on Sep 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15937
• PDF: https://arxiv.org/pdf/2509.15937
• Project Page: https://vlac.intern-ai.org.cn/
• Github: https://github.com/InternRobotics/VLAC
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT