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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Keyphrase recommendation in e-commerce advertising faces significant challenges, particularly in balancing relevance and effectiveness for sellers and advertisers. The primary issue lies in ...

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 ...

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 ...

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 ...

Mathematical formula recognition has progressed significantly, driven by deep learning techniques and the Transformer architecture. Traditional OCR methods prove insufficient due to the complex ...