Large Vision Language Models (LVLMs) have demonstrated significant advancements across various challenging multi-modal tasks over the past few years.  Their ability to interpret visual information in figures, known as visual perception, relied on visual encoders and multimodal training. Even with these advancements, visual perception errors still cause many mistakes in LVLMs and impact their ability […] The post VisOnlyQA: A New Dataset for Evaluating the Visual Perception of LVLMs (Large Vision Language Models) appeared first on MarkTechPost. read more

LLMs like GPT-4 and LLaMA have gained significant attention for their exceptional capabilities in natural language inference, summarization, and question-answering tasks. However, these models often generate outputs that appear credible but include inaccuracies, fabricated details, or misleading information, a phenomenon termed hallucinations. This issue presents a critical challenge for deploying LLMs in applications where precision […] The post LLM-Check: Efficient Detection of Hallucinations in Large Language Models for Real-Time Applications appeared first on MarkTechPost. read more

Sequential Recommendation systems have crucial applications in industries like e-commerce and streaming services. These systems collect and analyze the user interaction data over time to predict their preferences. However, the ID-based representations of users and items these systems rely on face critical drawbacks when transferring the same model to a new system. The new system […] The post ID-Language Barrier: A New Machine Learning Framework for Sequential Recommendation appeared first on MarkTechPost. read more

Large language models (LLMs) have made important advances in artificial intelligence, with superior performance on various tasks as their parameters and training data grow. GPT-3, PaLM, and Llama-3.1 perform well in many applications with billions of parameters. However, when implemented in low-power platforms, scaling LLMs poses severe difficulties regarding training and inference queries. While it […] The post From Scale to Density: A New AI Framework for Evaluating Large Language Models appeared first on MarkTechPost. read more

Wireless communication is the foundation of modern systems, enabling critical applications in military, commercial, and civilian domains. Its increasing prevalence has changed daily life and operations worldwide while introducing serious security threats. Attackers exploit these vulnerabilities to intercept sensitive data, disrupt communications, or conduct targeted attacks, compromising confidentiality and functionality. While encryption is a critical […] The post Frequency-Selective Adversarial Attack Against Deep Learning-Based Wireless Signal Classifiers appeared first on MarkTechPost. read more

Training AI models today isn’t just about designing better architectures—it’s also about managing data efficiently. Modern models require vast datasets and need those datasets delivered quickly to GPUs and other accelerators. The problem? Traditional data loading systems often lag behind, slowing everything down. These older systems rely heavily on process-based methods that struggle to keep […] The post Meta AI Introduces SPDL (Scalable and Performant Data Loading): A Step Forward in AI Model Training with Thread-based Data Loading appeared first on MarkTechPost. read more

Quantum computing has long been seen as a promising avenue for advancing computational capabilities beyond those of classical systems. However, the field faces a persistent challenge: error rates. Quantum bits, or qubits, are inherently fragile, and minor disturbances can lead to computational errors. This sensitivity has limited the scalability and practical application of quantum systems. […] The post Google Quantum AI Introduces Willow: A New State-of-the-Art Quantum Computing Chip with a Breakthrough that can Reduce Errors Exponentially appeared first on MarkTechPost. read more

OpenAI has unveiled Sora, its new text-to-video generation tool, a major step forward in AI-powered content creation. However, the launch comes with a notable exception: users in the European Union and the United Kingdom won’t have access for now, highlighting ongoing challenges between innovation and regulation. Sora is OpenAI’s answer to simplifying video production. It […] The post OpenAI Just Released Sora: The Most Awaited AI Video-Generation Tool appeared first on MarkTechPost. read more

Inspired by human cognitive processes, large language models (LLMs) possess an intriguing ability to interpret and represent abstract world states, which are specific snapshots of the situation or context (basically the environment) described in the text, such as the arrangement of objects or tasks in a virtual or real-world scenario. The research explores this potential […] The post How Fine-Tuned Large Language Models Prioritize Goal-Oriented Reasoning Over Comprehensive World Representations: Insights From the REPLACE Framework appeared first on MarkTechPost. read more

Medical question-answering (QA) systems are critical in modern healthcare, providing essential tools for medical practitioners and the public. Long-form QA systems differ significantly from simpler models by offering detailed explanations reflecting real-world clinical scenarios’ complexity. These systems must accurately interpret nuanced questions, often with incomplete or ambiguous information, and produce reliable, in-depth answers. With the […] The post Lavita AI Introduces Medical Benchmark for Advancing Long-Form Medical Question Answering with Open Models and Expert-Annotated Datasets appeared first on MarkTechPost. read more