​[[{“value”:” Keyphrase recommendation in e-commerce advertising faces significant challenges, particularly in balancing relevance and effectiveness for sellers and advertisers. The primary issue lies in recommending keyphrases that are relevant to items and represent actual user queries, crucial for targeted advertising. This problem has been approached… Read More »Ebay Researchers Introduce GraphEx: A Graph-based Extraction Method for Advertiser Keyphrase Recommendation Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Detecting and attributing temperature increases due to climate change is vital for addressing global warming and shaping adaptation strategies. Traditional methods struggle to separate human-induced climate signals from natural variability, relying on statistical techniques to identify specific patterns in climate data. Recent advances, however,… Read More »ClimDetect: A New Benchmark Dataset for Testing AI Models in Detecting Climate Change Signals Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The challenge of managing and recalling facts from complex, evolving conversations is a key problem for many AI-driven applications. As information grows and changes over time, maintaining accurate context becomes increasingly difficult. Current systems often struggle to handle the evolving nature of relationships and… Read More »Graphiti: A Python Library for Building Temporal Knowledge Graphs Using LLMs Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Retrieval-Augmented Generation (RAG) is a machine learning framework that combines the advantages of both retrieval-based and generation-based models. The RAG framework is highly regarded for its ability to handle large amounts of information and produce coherent, contextually accurate responses. It leverages external data sources… Read More »Top 9 Different Types of Retrieval-Augmented Generation (RAGs) Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent advancements in utilizing large vision language models (VLMs) and language models (LLMs) have significantly impacted reinforcement learning (RL) and robotics. These models have demonstrated their utility in learning robot policies, high-level reasoning, and automating the generation of reward functions for policy learning. This… Read More »Automating Reinforcement Learning Workflows with Vision-Language Models: Towards Autonomous Mastery of Robotic Tasks Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Mathematical formula recognition has progressed significantly, driven by deep learning techniques and the Transformer architecture. Traditional OCR methods prove insufficient due to the complex structures of mathematical expressions, requiring models to understand spatial and structural relationships. The field faces challenges in representational diversity, as… Read More »Character Detection Matching (CDM): A Novel Evaluation Metric for Formula Recognition Shoaib Nazir Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Medical question-answering systems have become a research focus due to their potential to assist clinicians in making accurate diagnoses and treatment decisions. These systems utilize large language models (LLMs) to process vast amounts of medical literature, enabling them to answer clinical questions based on… Read More »Microsoft Researchers Propose MedFuzz: A New AI Method for Evaluating the Robustness of Medical Question-Answering LLMs to Adversarial Perturbations Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Researchers from Answer.AI released the Byaldi project, which addresses the challenge of making ColPALI—a complex, late-interaction multi-modal model—more accessible for developers and researchers. ColPALI’s architecture, while powerful, presents a steep learning curve, especially for users unfamiliar with the intricacies of late-interaction models and their… Read More »Byaldi: A ColPali-Powered RAGatouille’s Mini Sister Project by Answer.AI Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Cognitive psychology aims to understand how humans process, store, and recall information, with Kahneman’s dual-system theory providing an important framework. This theory distinguishes between System 1, which operates intuitively and rapidly, and System 2, which involves deliberate and complex reasoning. Language models (LMs), especially… Read More »CogniDual Framework for LLMs: Advancing Language Models from Deliberate Reasoning to Intuitive Responses Through Self-Training Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have gained significant prominence in modern machine learning, largely due to the attention mechanism. This mechanism employs a sequence-to-sequence mapping to construct context-aware token representations. Traditionally, attention relies on the softmax function (SoftmaxAttn) to generate token representations as data-dependent convex… Read More »FlashSigmoid: A Hardware-Aware and Memory-Efficient Implementation of Sigmoid Attention Yielding a 17% Inference Kernel Speed-Up over FlashAttention-2 on H100 GPUs Mohammad Asjad Artificial Intelligence Category – MarkTechPost