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EraRAG: A Scalable, Multi-Layered Graph-Based Retrieval System for Dynamic and Growing Corpora
«`html EraRAG: A Scalable, Multi-Layered Graph-Based Retrieval System for Dynamic and Growing Corpora Understanding the Target Audience The primary audience for EraRAG includes AI researchers, developers, and business managers engaged in natural language processing (NLP) and data retrieval systems. Their pain points often involve issues related to data scalability, accuracy of information retrieval, and the… →
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FEEDER: A Pre-Selection Framework for Efficient Demonstration Selection in LLMs
«`html Understanding the Target Audience for FEEDER The target audience for FEEDER: A Pre-Selection Framework for Efficient Demonstration Selection in LLMs primarily consists of researchers, data scientists, and AI practitioners working with large language models (LLMs). This audience is typically engaged in developing, fine-tuning, and deploying AI models for various applications, including natural language processing,… →
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Top 10 largest Seed and Series A rounds
Hello and welcome to The GTM Newsletter by GTMnow – read by 50,000+ to scale their companies and careers. GTMnow shares insight around the go-to-market strategies responsible for explosive company growth. GTMnow highlights the strategies, along with the stories from the top 1% of GTM executives, VCs, and founders behind these strategies and companies. A… →
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Adherence to Quality-of-Care Indicators and Mortality Outcomes in Patients With MRSA Bacteremia: A Post Hoc Analysis of the CAMERA2 Randomized Clinical Trial
CONCLUSIONS AND RELEVANCE: In this post hoc analysis of a randomized clinical trial, health care practitioners of trial participants had greater adherence to QCIs for MRSA bacteremia management compared with practitioners of nontrial patients. Trial participation was not associated with lower mortality. →
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Alibaba Qwen Introduces Qwen3-MT: Next-Gen Multilingual Machine Translation Powered by Reinforcement Learning
«`html Alibaba Qwen Introduces Qwen3-MT: Next-Gen Multilingual Machine Translation Powered by Reinforcement Learning Alibaba has launched Qwen3-MT (qwen-mt-turbo) through the Qwen API, its latest machine translation model that aims to eliminate language barriers with high accuracy, speed, and flexibility. Trained on trillions of multilingual tokens, Qwen3-MT supports over 92 languages, covering more than 95% of… →
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DualDistill and Agentic-R1: How AI Combines Natural Language and Tool Use for Superior Math Problem Solving
DualDistill and Agentic-R1: How AI Combines Natural Language and Tool Use for Superior Math Problem Solving Existing long-CoT reasoning models have achieved state-of-the-art performance in mathematical reasoning by generating reasoning trajectories with iterative self-verification and refinement. However, open-source long-CoT models depend solely on natural language reasoning traces, which can be computationally expensive and prone to… →
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Unsupervised System 2 Thinking: The Next Leap in Machine Learning with Energy-Based Transformers
«`html Unsupervised System 2 Thinking: The Next Leap in Machine Learning with Energy-Based Transformers Artificial intelligence research is rapidly evolving beyond pattern recognition and toward systems capable of complex, human-like reasoning. The latest breakthrough in this pursuit comes from the introduction of Energy-Based Transformers (EBTs)—a family of neural architectures specifically designed to enable “System 2… →
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Vibe Analytics: Vibe Coding’s New Cousin Unlocks Insights
Carolyn Geason-Beissel/MIT SMR | Getty Images Editor’s note: The author used GenAI tools as resources in the process of writing this article. In February, former Tesla AI director and OpenAI cofounder Andrej Karpathy posted a casual humblebrag on X about his clever weekend coding approach: “There’s a new kind of coding I call ‘vibe coding,’… →
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Is Tenure a Golden Age for Research?
Tenure. For many professionals in research and education, the word represents a major career milestone, offering them significant job security and status among their peers. “If you ask any professor or researcher, they will basically tell you that tenure is one of the most important moments, if not the most important moment, of their academic… →