​[[{“value”:” Document understanding (DU) focuses on the automatic interpretation and processing of documents, encompassing complex layout structures and multi-modal elements such as text, tables, charts, and images. This task is essential for extracting and utilizing the vast amounts of information contained in documents generated annually.… Read More »MMLongBench-Doc: A Comprehensive Benchmark for Evaluating Long-Context Document Understanding in Large Vision-Language Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Evaluating conversational AI assistants, like GitHub Copilot Chat, is challenging due to their reliance on language models and chat-based interfaces. Existing metrics for conversational quality need to be revised for domain-specific dialogues, making it hard for software developers to assess the effectiveness of these… Read More »This AI Paper from Microsoft Present RUBICON: A Machine Learning Technique for Evaluating Domain-Specific Human-AI Conversations Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Many developers face the challenge of safely executing AI-generated code. Running such code locally can pose security risks and may require extensive setup. Additionally, there’s a need for a tool that can support multiple programming languages and frameworks seamlessly without compromising on security or… Read More »AI Artifacts App: An Open Source Version of Anthropic Artifacts that can Analyze Python Code, Generate HTML/CSS/JS and Next.js Code Niharika Singh Artificial Intelligence Category – MarkTechPost

​Exploring AGI, the challenges of scaling and the future of multimodal generative AI Exploring AGI, the challenges of scaling and the future of multimodal generative AI  Read More  

​[[{“value”:” Large language models (LLMs) have significantly advanced various natural language processing tasks, but they still face substantial challenges in complex mathematical reasoning. The primary problem researchers are trying to solve is how to enable open-source LLMs to effectively handle complex mathematical tasks. Current methodologies… Read More »DotaMath: Advancing LLMs’ Mathematical Reasoning Through Decomposition and Self-Correction Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Due to the complexity of interpreting user questions, database schemas, and SQL production, accurately generating SQL from natural language queries (text-to-SQL) has been a long-standing difficulty. Traditional text-to-SQL systems using deep neural networks and human engineering have succeeded. Then, text-to-SQL jobs were tackled with… Read More »This Survey Paper Presents a Comprehensive Review of LLM-based Text-to-SQL Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The growth of low-quality data on the internet leads to the instillation of undesirable, unsafe, or toxic knowledge in large language models (LLMs). When these models are used in chatbots, they increase the risk of exposing users to harmful advice or aggressive behavior. Existing… Read More »PolygloToxicityPrompts: A Dataset of 425K Naturally-Occurring Prompts Across 17 Languages with Varying Degrees of Toxicity Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Survey on Machine Learning-Powered Augmented Reality in Education: ML advances augmented reality (AR) across various educational fields, enhancing object visualizations and interaction capabilities. This survey outlines the integration of ML in AR, discussing its applications from kindergarten to university. It explores ML models like… Read More »Advancing Education through Machine Learning-Powered Augmented Reality: Current Applications, Challenges, and Future Directions Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This Paper addresses the limitations of classical machine learning approaches primarily developed for data lying in Euclidean space. Modern machine learning increasingly encounters richly structured data that is inherently non-Euclidean, exhibiting intricate geometric, topological, and algebraic structures. Extracting knowledge from such non-Euclidean data necessitates… Read More »Transcending the Euclidean Paradigm: A Roadmap for Advancing Machine Learning with Geometric, Topological, and Algebraic Structures Shreya Maji Artificial Intelligence Category – MarkTechPost