​[[{“value”:” A major challenge in the current deployment of Large Language Models (LLMs) is their inability to efficiently manage tasks that require both generation and retrieval of information. While LLMs excel at generating coherent and contextually relevant text, they struggle to handle retrieval tasks, which… Read More »OneGen: An AI Framework that Enables a Single LLM to Handle both Retrieval and Generation Simultaneously Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Nvidia has unveiled its latest small language model, Nemotron-Mini-4B-Instruct, which marks a new chapter in the company’s long-standing tradition of innovation in artificial intelligence. This model, designed specifically for tasks like roleplaying, retrieval-augmented generation (RAG), and function calls, is a more compact and efficient… Read More »Nvidia Open Sources Nemotron-Mini-4B-Instruct: A 4,096 Token Capacity Small Language Model Designed for Roleplaying, Function Calling, and Efficient On-Device Deployment with 32 Attention Heads and 9,216 MLP Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Research idea generation methods have evolved through techniques like iterative novelty boosting, multi-agent collaboration, and multi-module retrieval. These approaches aim to enhance idea quality and novelty in research contexts. Previous studies primarily focused on improving generation methods over basic prompting, without comparing results against… Read More »Assessing the Capacity of Large Language Models to Generate Innovative Research Ideas: Insights from a Study with Over 100 NLP Experts Shoaib Nazir Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Gaussian Splatting is a novel 3D rendering technique representing a scene as a collection of 3D Gaussian functions. These Gaussians are splatted, or projected, onto the image plane, enabling faster and more efficient rendering of complex scenes compared to traditional methods like neural radiance… Read More »gsplat: An Open-Source Python Library for Gaussian Splatting Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The use of relational data in social science has surged over the past two decades, driven by interest in network structures and their behavioral implications. However, the methods for analyzing such data are underdeveloped, leading to ad hoc, nonreplicable research and hindering the development… Read More »Advancing Social Network Analysis: Integrating Stochastic Blockmodels, Reciprocity, and Bayesian Approaches Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence (AI) is transforming the way scientific research is conducted, especially through language models that assist researchers with processing and analyzing vast amounts of information. In AI, large language models (LLMs) are increasingly applied to tasks such as literature retrieval, summarization, and contradiction… Read More »FutureHouse Researchers Introduce PaperQA2: The First AI Agent that Conducts Entire Scientific Literature Reviews on Its Own Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The Internet Integrity Initiative Team has made a significant stride in data privacy by releasing Piiranha-v1, a model specifically designed to detect and protect personal information. This tool is built to identify personally identifiable information (PII) across a wide variety of textual data, providing… Read More »Piiranha-v1 Released: A 280M Small Encoder Open Model for PII Detection with 98.27% Token Detection Accuracy, Supporting 6 Languages and 17 PII Types, Released Under MIT License Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Researchers have focused on developing and building models to process and compare human language in natural language processing efficiently. One key area of exploration involves sentence embeddings, which transform sentences into mathematical vectors to compare their semantic meanings. This technology is crucial for semantic… Read More »Optimizing Large-Scale Sentence Comparisons: How Sentence-BERT (SBERT) Reduces Computational Time While Maintaining High Accuracy in Semantic Textual Similarity Tasks Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“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